WO2013160539A1 - Method and apparatus for privacy protection in images - Google Patents

Method and apparatus for privacy protection in images Download PDF

Info

Publication number
WO2013160539A1
WO2013160539A1 PCT/FI2013/050434 FI2013050434W WO2013160539A1 WO 2013160539 A1 WO2013160539 A1 WO 2013160539A1 FI 2013050434 W FI2013050434 W FI 2013050434W WO 2013160539 A1 WO2013160539 A1 WO 2013160539A1
Authority
WO
WIPO (PCT)
Prior art keywords
user
privacy
person
image
privacy setting
Prior art date
Application number
PCT/FI2013/050434
Other languages
French (fr)
Inventor
Pranav Mishra
Original Assignee
Nokia Corporation
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nokia Corporation filed Critical Nokia Corporation
Priority to US14/396,209 priority Critical patent/US9582681B2/en
Publication of WO2013160539A1 publication Critical patent/WO2013160539A1/en

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41Structure of client; Structure of client peripherals
    • H04N21/414Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance
    • H04N21/41407Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance embedded in a portable device, e.g. video client on a mobile phone, PDA, laptop
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60Protecting data
    • G06F21/62Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6245Protecting personal data, e.g. for financial or medical purposes
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41Structure of client; Structure of client peripherals
    • H04N21/422Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
    • H04N21/4223Cameras
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/44Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
    • H04N21/4402Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display
    • H04N21/440245Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display the reformatting operation being performed only on part of the stream, e.g. a region of the image or a time segment
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/478Supplemental services, e.g. displaying phone caller identification, shopping application
    • H04N21/4788Supplemental services, e.g. displaying phone caller identification, shopping application communicating with other users, e.g. chatting
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/02Protecting privacy or anonymity, e.g. protecting personally identifiable information [PII]

Definitions

  • the invention relates to privacy protection in images and, more particularly, to privacy protection in images available in social networks.
  • eNB EUTRAN Node B (evolved Node B)
  • LTE E-UTRAN evolved UTRAN
  • a method includes defining a first privacy setting related to a user. Communicating the first privacy setting using a first radio communication network to a server. Storing the first privacy setting related to the user on the server. Applying the first privacy setting when analyzing an image to determine the user in the image. Determining to apply a second privacy setting related to the user. Defining the second privacy setting related to the user and communicating the second privacy setting to another device of a second user using a second radio communication network.
  • a method includes analyzing an image to determine a person in the image. Determining a relationship status of the person. Superseding (or overriding) a privacy status of the person based, at least partially, on the relationship status of the person or an authorization by the person.
  • a computer program product including a computer-readable medium bearing computer program code embodied therein for use with a computer.
  • the computer program code includes code for defining a first privacy setting related to a user. Code for communicating the first privacy setting using a first radio communication network to a server. Code for storing the first privacy setting related to the user on the server. Code for applying the first privacy setting when analyzing an image to determine the user in the image. Code for determining to apply a second privacy setting related to the user. Code for defining the second privacy setting related to the user and communicating the second privacy setting to another device of a second user using a second radio communication network.
  • Fig. 1 a simplified block diagram of various electronic devices that are suitable for use in practicing the exemplary embodiments of this invention
  • Fig. 2 is a front view of the electronic device shown in Fig. 1;
  • Fig. 3 is a rear view of the electronic device shown in Fig. 1;
  • Fig. 4 is a more particularized block diagram of the electronic device shown in Fig. 1;
  • Fig. 5 is a block diagram of the electronic device and a privacy server
  • Fig. 6 is block diagram in accordance with the exemplary embodiments of this invention.
  • Fig. 7 is a block diagram in accordance with the exemplary embodiments of this invention.
  • Fig. 8 is a block diagram in accordance with the exemplary embodiments of this invention.
  • Fig. 9 is a block diagram in accordance with the exemplary embodiments of this invention.
  • Fig. 10 is a block diagram in accordance with the exemplary embodiments of this invention.
  • Fig. 11 is a block diagram in accordance with the exemplary embodiments of this invention. DETAILED DESCRIPTION OF THE DRAWINGS
  • FIG. 1 there is shown a simplified block diagram of various electronic devices and apparatus that are suitable for use in practicing the exemplary embodiments of this invention.
  • Fig. 1 a simplified block diagram of various electronic devices and apparatus that are suitable for use in practicing the exemplary embodiments of this invention.
  • embodiments of the invention will be described with reference to the exemplary embodiments shown in the drawings, it should be understood that the embodiments of the invention can be embodied in many alternate forms of embodiments.
  • any suitable size, shape or type of elements or materials could be used.
  • a wireless network 1 is adapted for communication over a wireless link 11 with an apparatus, such as a mobile communication device which may be referred to as a user equipment (UE) 10, via a network access node, such as a Node B (base station), and more specifically an eNB 12.
  • the eNB 12 may be, for example, part of the overall architecture of a E-UTRAN system.
  • the EUTRAN system generally includes eNBs, providing the E-UTRA user plane (PDCP/RLC/MAC/PHY) and control plane (RRC) protocol terminations towards the UE.
  • the eNBs may be interconnected with each other by means of an X2 interface.
  • the eNBs are also generally connected by means of an SI interface to an EPC, more specifically to a MME (Mobility Management Entity) by means of a SI MME interface and to a Serving Gateway (SGW) by means of a SI interface.
  • MME Mobility Management Entity
  • SGW Serving Gateway
  • the SI interface supports a many to many relationship between MMEs / Serving Gateways and eNBs.
  • the eNB generally hosts the following functions: functions for Radio Resource Management: Radio Bearer Control, Radio Admission Control, Connection Mobility Control, Dynamic allocation of resources to UEs in both uplink and downlink (scheduling); IP header compression and encryption of the user data stream; selection of a MME at UE attachment; routing of User Plane data towards the Serving Gateway; scheduling and transmission of paging messages (originated from the MME); scheduling and transmission of broadcast information (originated from the MME or O&M); and a measurement and measurement reporting configuration for mobility and scheduling.
  • Radio Resource Management Radio Bearer Control, Radio Admission Control, Connection Mobility Control, Dynamic allocation of resources to UEs in both uplink and downlink (scheduling); IP header compression and encryption of the user data stream; selection of a MME at UE attachment; routing of User Plane data towards the Serving Gateway; scheduling and transmission of paging messages (originated from the MME); scheduling and transmission of broadcast information (originated from the MME or O&M); and a measurement and measurement reporting configuration for mobility and scheduling
  • the network 1 may include a network control element (NCE) 14 that may include the MME/S GW functionality, and which provides connectivity with a network 1, such as a telephone network and/or a data communications network (e.g., the internet).
  • the UE 10 includes electronic circuitry such as a controller, such as a computer or a data processor (DP) 10A, a computer-readable memory medium embodied as a memory (MEM) 10B that stores a program of computer instructions (PROG) IOC, and a suitable radio frequency (RF) transceiver 10D for bidirectional wireless communications with the eNB 12 via one or more antennas.
  • DP data processor
  • PROG program of computer instructions
  • RF radio frequency
  • the eNB 12 also includes a controller, such as a computer or a data processor (DP) 12 A, a computer-readable memory medium embodied as a memory (MEM) 12B that stores a program of computer instructions (PROG) 12C, and a suitable RF transceiver 12D for communication with the UE 10 via one or more antennas.
  • the eNB 12 is coupled via a data / control path 13 to the NCE 14.
  • the path 13 may be implemented as the SI interface.
  • the eNB 12 may also be coupled to another eNB via data / control path 15, which may be implemented as the X2 interface.
  • UE 10 and eNB 12 have been described above in connection with a transceiver, one skilled in the art will appreciate that embodiments of the invention are not necessarily so limited and that various embodiments may comprise a separate receiver and transmitter instead of a transceiver.
  • At least one of the PROGs IOC and 12C is assumed to include program instructions that, when executed by the associated DP, enable the device to operate in accordance with the exemplary embodiments of this invention, as will be discussed below in greater detail.
  • the exemplary embodiments of this invention may be implemented at least in part by computer software executable by the DP 10A of the UE 10 and/or by the DP 12A of the eNB 12, or by hardware, or by a combination of software and hardware (and firmware).
  • the UE 10 may be assumed to also include a Privacy Protection System (PPS) 10E, and the eNB 12 may include a Privacy Protection System (PPS) 12E.
  • PPS Privacy Protection System
  • PPS Privacy Protection System
  • the various embodiments of the UE 10 can include, but are not limited to, cellular telephones, personal digital assistants (PDAs) having wireless communication capabilities, portable computers having wireless communication capabilities, image capture devices such as digital cameras having wireless communication capabilities, gaming devices having wireless communication capabilities, music storage and playback appliances having wireless communication capabilities, Internet appliances permitting wireless Internet access and browsing, as well as portable units or terminals that incorporate combinations of such functions.
  • PDAs personal digital assistants
  • portable computers having wireless communication capabilities
  • image capture devices such as digital cameras having wireless communication capabilities
  • gaming devices having wireless communication capabilities
  • music storage and playback appliances having wireless communication capabilities
  • Internet appliances permitting wireless Internet access and browsing, as well as portable units or terminals that incorporate combinations of such functions.
  • the computer readable MEMs 10B and 12B may be of any type suitable to the local technical environment and may be implemented using any suitable data storage technology, such as semiconductor based memory devices, flash memory, magnetic memory devices and systems, optical memory devices and systems, fixed memory and removable memory.
  • the DPs 10A and 12A may be of any type suitable to the local technical environment, and may include one or more of general purpose computers, special purpose computers, microprocessors, digital signal processors (DSPs) and processors based on a multicore processor architecture, as non-limiting examples. Referring to Fig. 2, there is shown a front view of the electronic device (or user equipment [UE]) 10.
  • UE user equipment
  • the device 10 generally comprises a housing 52, a graphical display interface 20, and a user interface 22 illustrated as a keypad but understood as also encompassing touch- screen technology at the graphical display interface 20 and voice-recognition technology received at the microphone 24.
  • a power actuator 26 controls the device being turned on and off by the user.
  • the exemplary UE 10 may have a forward facing camera 28 (for example for video calls) and/or a rearward facing camera 29 (for example for capturing images and video for local storage, see Fig. 3).
  • the cameras 28, 29 are controlled by a shutter actuator 30 and optionally by a zoom actuator 32 which may alternatively function as a volume adjustment for the speaker(s) 34 when the cameras 28, 29 are not in an active mode.
  • exemplary embodiments of the invention have been described above in connection with the graphical display interface 20 and the user interface 22, one skilled in the art will appreciate that exemplary embodiments of the invention are not necessarily so limited and that some embodiments may comprise only the display interface 20 (without the user interface 22) wherein the display 20 forms a touch screen user input section.
  • the antennas 36 may be multi-band for use with other radios in the UE.
  • the operable ground plane for the antennas 36 is shown by shading as spanning the entire space enclosed by the UE housing though in some embodiments the ground plane may be limited to a smaller area, such as disposed on a printed wiring board on which the power chip 38 is formed.
  • the power chip 38 controls power amplification on the channels being transmitted and/or across the antennas that transmit simultaneously where spatial diversity is used, and amplifies the received signals.
  • the power chip 38 outputs the amplified received signal to the radio -frequency (RF) chip 40 which demodulates and downconverts the signal for baseband processing.
  • the baseband (BB) chip 42 detects the signal which is then converted to a bit-stream and finally decoded. Similar processing occurs in reverse for signals generated in the apparatus 10 and transmitted from it.
  • Signals to and from the cameras 28, 29 pass through an image/video processor 44 which encodes and decodes the various image frames.
  • a separate audio processor 46 may also be present controlling signals to and from the speakers 34 and the microphone 24.
  • the graphical display interface 20 is refreshed from a frame memory 48 as controlled by a user interface chip 50 which may process signals to and from the display interface 20 and/or additionally process user inputs from the keypad 22 and elsewhere.
  • Certain embodiments of the UE 10 may also include one or more secondary radios such as a wireless local area network radio WLAN 37 and a Bluetooth® radio 39, which may incorporate an antenna on-chip or be coupled to an off-chip antenna. Certain embodiments may also include a near field communications (NFC) chip 51 configured for connecting with another device.
  • NFC near field communications
  • various memories such as random access memory RAM 43, read only memory ROM 45, and in some embodiments removable memory such as the illustrated memory card 47.
  • the various programs IOC are stored in one or more of these memories. All of these components within the UE 10 are normally powered by a portable power supply such as a battery 49.
  • processors 38, 40, 42, 44, 46, 50 may operate in a slave relationship to the main processor 10A, 12A, which may then be in a master relationship to them.
  • main processor 10A, 12A which may then be in a master relationship to them.
  • various exemplary embodiments of the invention may be disposed across various chips and memories as shown or disposed within another processor that combines some of the functions described above for Fig. 4. Any or all of these various processors of Fig. 4 access one or more of the various memories, which may be on-chip with the processor or separate therefrom.
  • Similar function-specific components that are directed toward communications over a network broader than a piconet may also be disposed in exemplary embodiments of the access node 12, which may have an array of tower-mounted antennas rather than the two shown at Fig. 4.
  • the privacy server 60 is configured to be connected to the device 10 via a network 62, such as the internet.
  • the connection between the network 62 and the device 10 may be provided through a link 64.
  • the link may include a wireless link, such as the wireless link 11.
  • the link may include a wireless link configured to be connected to a wireless data network, such as a Wi-Fi network, for example.
  • the link may include a wired link, such as through a direct cable connection, configured to be connected to the internet.
  • the server 60 includes a processor 66 and a memory 68 similar to the processor 10A and the memory 10B.
  • the privacy server may further include any suitable type of features as known in the art.
  • the exemplary embodiments of this invention provide a method, apparatus and computer program(s) to provide a privacy protection system that can provide settings for a social network and also use face recognition technology to identify faces in images uploaded on to the social network.
  • the privacy protection system provides for the privacy protection of an individual, wherein, for example, a person's willingness to be photographed is checked or verified before data is uploaded to a social network.
  • the privacy protection system allows for a user of a social network to provide privacy protection in images by giving the user an option of not appearing on photographs.
  • the privacy protection system provides the user with an option of not appearing on photographs (at block 102).
  • the options given to the user may be, for example: a) Appear on Friend's Photographs Yes/No; b) Appear on Stranger's Photographs Yes/No.
  • the option provides for the user to select a privacy status that will be reflected in the social network.
  • a 'friend' may be a person on the user's list of known persons
  • a 'stranger' may be a person that is not on the list of the user's known persons.
  • the privacy status may be provided for other lists of people on the social network, such as a 'work friends' list, or a 'family friends' list, for example.
  • a default could be set in the privacy protection system that the 'Appear on Friend's Photographs' privacy status could be set to 'Yes', and the 'Appear on Stranger's Photographs' privacy status could be set to 'No'.
  • any default settings may be provided.
  • the privacy status set the user may or may not appear in a friend 's/stranger's photograph according to the chosen option (Yes/No).
  • the user preference of the privacy status is transmitted to all devices belonging to 'friends' of the user.
  • the privacy protection system transmits the user preference from the user's device to the friends' devices.
  • the privacy protection system transmits the user preference from the user's device to the social network, and the 'friends' devices are updated with the corresponding user preference when a connection to the social network is established.
  • a 'friend' of the user takes a photograph of the user, and the user setting in a) was 'No', then the user's face in the image is blurred or masked (or obscured) to become unrecognizable.
  • the 'blurring' may be provided locally on the 'friends' device when the picture is taken, for example when the privacy protection system transmits the user preference from the user's device to the friends devices. Or the 'blurring' may be provided when the 'friend' uploads the picture or image to the social network, as the user preference of the privacy status is available on the social network. Otherwise, if the 'friend' of the user takes a photograph of the user, and the user setting in a) was 'Yes', then the face would be visible on the photograph.
  • the face is automatically blurred on the device.
  • the automatic blurring may be provided, for example when the user gives permission to the 'stranger' for taking his photograph.
  • this permission could be done by a 'NFC shake'.
  • the user can give permission for taking his/her photograph to a stranger for a specified time period using a short-mid range radio communication, such as near field communication (NFC) tags, for example, for transmitting face vectors of the user.
  • NFC near field communication
  • the time could be specified by the user in the privacy status setting.
  • the 'permission' could be provided through social networking site. For example, if the user searches for the 'stranger's' profile, and allows the stranger to take photographs/images of the user, where face vectors are transmitted with the specified time.
  • the privacy server 60 stores a list of the friends or contacts for the user of the device 10.
  • the privacy server 60 may further include the privacy status/setting of images for each of the friends or contacts on the list.
  • the privacy server 60 may further comprise the face vectors (or face feature vectors) for each of the friends or contacts on the list.
  • the privacy protection system is configured to communicate with the privacy server in order to provide a synchronization of the friends/contact list, the privacy setting, and/or the face vectors between the device 10 and the server 60. For example, when one of the friends/contacts on the list changes the privacy setting, the change is reflected on the privacy server 60 and then updated on the device 10 after a synchronization is performed.
  • the device 10 can communicate with the server 60 to verify the privacy status of the person. Additionally, if the user of the device 10 adds a contact on the device 10, then this is updated on the server 60 when a synchronization is performed and the server 60 further sends the privacy setting and/or the face feature vector to the device 10.
  • the face recognition can also be performed with embodiments where the device 10 is a personal computer or a laptop computer where, for example, software (such as Zune software) can be used to recognize the face of the person in the image. Once the face is recognized the privacy status of the person is verified on with the profile information on the device. Additionally, the privacy server 60 is configured to perform similar functionality wherein the face recognition is performed on the privacy server 60 and then the device is updated when a synchronization is performed.
  • software such as Zune software
  • connection and synchronization between the privacy protection system and the privacy server allow for superseding (or overriding), temporarily or for a certain duration, the privacy setting so that the user of the device may take an image of the person that will not be modified (such as by blurring, for example).
  • the various embodiments are not necessarily so limited and that any other suitable face recognition method may be provided.
  • the face of the user is automatically blurred as the privacy protection system has provided the user's privacy status user setting and/or the face vector (or other face recognition method/technology) to the social network to that any images uploaded by strangers are analyzed for the user's face, and once the user's face is recognized, the portion of the image which includes the face of the user is 'blurred'.
  • the face of the user is blurred/visible based on selected option.
  • the face of the user is automatically blurred even when clicked by a friend. It should also be noted that it is possible that the user also agrees to be photographed by the 'stranger', and then with the corresponding settings in the privacy status, the face of the user in the image taken by the 'stranger' would be visible.
  • Figure 7 illustrates a method 200.
  • the method 200 includes capturing an image with a camera of a device (at block 202). Analyzing the image to determine a person in the image (at block 204). Determining a privacy status of the person (at block 206). Modifying a portion of the image based, at least partially, on the determined privacy status of the person (at block 208). It should be noted that the illustration of a particular order of the blocks does not necessarily imply that there is a required or preferred order for the blocks and the order and arrangement of the blocks may be varied. Furthermore it may be possible for some blocks to be omitted.
  • Figure 8 illustrates a method 300.
  • the method 300 includes capturing an image with a camera of a device (at block 302). Analyzing the image to determine a person in the image (at block 304). Determining a relationship status of the person (at block 306). Modifying a portion of the image based, at least partially, on the determined relationship status of the person (at block 308). It should be noted that the illustration of a particular order of the blocks does not necessarily imply that there is a required or preferred order for the blocks and the order and arrangement of the blocks may be varied. Furthermore it may be possible for some blocks to be omitted.
  • Figure 9 illustrates a method 400.
  • the method 400 includes analyzing an image to determine a person in the image (at block 402). Determining a relationship status of the person (at block 404). Superseding a privacy status of the person based, at least partially, on the relationship status of the person or an authorization by the person (at block 406). It should be noted that the illustration of a particular order of the blocks does not necessarily imply that there is a required or preferred order for the blocks and the order and arrangement of the blocks may be varied. Furthermore it may be possible for some blocks to be omitted.
  • the privacy protection system when the user of the device captures an image, the privacy protection system is configured to analyze the image to determine a person in the image (such as by face recognition technology, for example).
  • the privacy protection system is configured to determine a relationship status of the person.
  • the relationship status may be 'friend', 'family', or 'acquaintance', for recognized persons.
  • the relationship status may be 'stranger', 'unknown', or 'not known', for persons not recognized.
  • the person's face is automatically blurred.
  • the person in the image is not recognized after the image is analyzed due to the person not being present in the contact list of the user (wherein, for example, the user's contact list includes information to compare with the image, such as an image of the person, face vectors corresponding to the person, any suitable facial recognition data, or any other suitable recognition data).
  • the person in the image is not recognized after the image is analyzed due to the person not being on a friend list in a social networking site (wherein, for example, the person's profile in the social networking web site includes information to compare with the image, such as an image of the person, face vectors corresponding to the person, any suitable facial recognition data, or any other suitable recognition data).
  • the person in the image is recognized (and considered a friend, or known person, or a family member, for example), and the person's privacy setting/status is set to 'privacy' or 'privacy on' for example, then the person's face would be automatically blurred.
  • the person in the image is recognized (and considered a friend, or known person, or a family member, for example), and the person's privacy setting/status is set to 'public' or 'privacy off for example, then the person's face would be shown in the image.
  • the relationship status and privacy status/setting may be checked by the privacy protection system of the device or the privacy server (or a combination of both the privacy protection system and the privacy server) wherein the image is processed/analyzed for face recognition, such as by using face feature vectors, for example (at block 502).
  • the privacy protection system and/or the privacy server compare the results with the users contacts/friends list, to determine if the person in the image is known or unknown (at block 504). If the person is known, then the privacy status/setting in the person's profile of the contacts/friends list can be checked or verified for a selection of 'privacy on' or 'privacy off (at block 506).
  • the privacy status/setting may be a default setting (such as 'privacy on', for example) (at block 508).
  • the privacy setting/status could be superseded for some time, through NFC, or through an outlook calendar event/invitation function (or any other suitable calendar function, for example).
  • the outlook calendar event/invitation sent by the user may have a privacy setting (or the calendar application may have a privacy setting/status for all invitations) which enables the user of the device to take pictures of all the persons invited in the calendar event/invitation (wherein the setting in the calendar event/invitation overrides any other privacy setting).
  • the person receiving the calendar is provided an option to accept the calendar with/without the privacy setting. This can, for example, ensure that people in the invited group can take pictures of each other.
  • FIG 11 illustrates a method 600.
  • the method 600 includes defining a first privacy setting related to a user (at block 602). Communicating the first privacy setting using a first radio communication network to a server, such as an LTE network, for example (at block 604). Storing the first privacy setting related to the user on the server (at block 606). Applying the first privacy setting when analyzing an image to determine the user in the image (at block 608). Determining to apply a second privacy setting related to the user (at block 610). Defining the second privacy setting related to the user and communicating (or sending) the second privacy setting to another device of a second user using a second radio communication network, such as an NFC or Bluetooth network, for example (at block 612).
  • a second radio communication network such as an NFC or Bluetooth network
  • the privacy protection feature In response to sending (or communicating) the second privacy setting to the another device of the second user, applying the second privacy setting and overriding the first privacy setting for a predetermined time (at block 614).
  • the illustration of a particular order of the blocks does not necessarily imply that there is a required or preferred order for the blocks and the order and arrangement of the blocks may be varied. Furthermore it may be possible for some blocks to be omitted.
  • the privacy protection feature provides for use cases where two 'strangers' meet and want to take a photo without blurring (or otherwise modifying) each other's faces in the image.
  • Various exemplary embodiments of the invention also provide for use cases where the permanent settings in the privacy server indicate "familiarity", but the users just want to blur (or otherwise modify) faces for a predetermined time. For example, if friends are together in a social setting and a 'party' atmosphere ensues where for example the user may not want to be identified in a picture(s), as the picture(s) may not portray the user in a professional manner, then the user may choose to blur or modify the image(s) taken during the social event so that he/she may not be identified.
  • the privacy setting(s) in the privacy server are not changed. For example, if the setting(s) is superseded or overridden by the short-mid range radio communication (such as NFC or Bluetooth, for example), then this just "disables" the function of the server privacy policy for a predetermined time.
  • the privacy server defines the privacy settings (which can be changed we the user changes his/her profile, however profile changes are generally used for long term [or non-temporary] settings), where these settings are valid all the time, excluding those times when the user decides to disable the settings using NFC or Bluetooth communications to override the settings for some predetermined short time.
  • a technical effect of one or more of the example embodiments disclosed herein is providing privacy protection in images by giving users an option of not appearing on photographs. Another technical effect of one or more of the example embodiments disclosed herein is that a user may or may not appear in a friend 's/stranger's photograph according to the chosen option. Another technical effect of one or more of the example embodiments disclosed herein is that the user's face will not be visible or will be blurred/masked when the chosen option is 'NO'. Another technical effect of one or more of the example embodiments disclosed herein is if a stranger tries to upload a photograph of the user, probably taken from another device, the user's face is blurred.
  • Another technical effect of one or more of the example embodiments disclosed herein is that a user can, just before going to a rally, change his settings. This ensures that the user becomes 'invisible' or unrecognizable in any photographs taken in the crowd. So, even if the user's 'friend' is taking a photograph, the user will not be visible (or recognizable) in it, as the user's face will be blurred.
  • Another technical effect of one or more of the example embodiments disclosed herein is that the user's privacy is protected with the privacy protection system, as the user will not appear in any image where he does not intend to.
  • the image processing may become a little cumbersome to take photos, for example to provide the suitable type of blurring as to not spoil the photographs, the added benefit of privacy protection provides significant advantages.
  • Another technical effect of one or more of the example embodiments disclosed herein is that the privacy of a person (such as the user) is respected and his photographs are not published on the web accidently.
  • Another technical effect of one or more of the example embodiments disclosed herein is when two strangers meet and want to take a photo of each other, superseding the privacy setting stored on the server temporarily for a predetermined is possible using NFC.
  • Another technical effect of one or more of the example embodiments disclosed herein is that users can avoid being 'tricked' into posting images onto the social networks as, it is very easy to download images being shared publicly on the network, and the images can be morphed easily.
  • Another technical effect of one or more of the example embodiments disclosed herein is that a user can feel safe that his/her identity is not known when images are taken at rally, and posted on the social network.
  • Another technical effect of one or more of the example embodiments disclosed herein is that a user can avoid being captured in an image where he/she 'accidently' appears in them, such as when the user is passing through a street where these images could be uploaded onto social media/internet (and user privacy could be compromised [accidently], and he/she may not have wanted to disclose his location in any way).
  • the various exemplary embodiments may be implemented in hardware or special purpose circuits, software, logic or any combination thereof.
  • some aspects may be implemented in hardware, while other aspects may be implemented in firmware or software which may be executed by a controller, microprocessor or other computing device, although the invention is not limited thereto.
  • firmware or software which may be executed by a controller, microprocessor or other computing device, although the invention is not limited thereto.
  • While various aspects of the exemplary embodiments of this invention may be illustrated and described as block diagrams, flow charts, or using some other pictorial representation, it is well understood that these blocks, apparatus, systems, techniques or methods described herein may be implemented in, as nonlimiting examples, hardware, software, firmware, special purpose circuits or logic, general purpose hardware or controller or other computing devices, or some combination thereof.
  • the integrated circuit, or circuits may comprise circuitry (as well as possibly firmware) for embodying at least one or more of a data processor or data processors, a digital signal processor or processors, baseband circuitry and radio frequency circuitry that are configurable so as to operate in accordance with the exemplary embodiments of this invention.
  • the exemplary embodiments have been described above in the context of the EUTRAN (UTRAN-LTE) system, it should be appreciated that the exemplary embodiments of this invention are not limited for use with only this one particular type of wireless communication system, and that they may be used to advantage in other wireless communication systems such as for example (WLAN, UTRAN, GSM as appropriate).
  • the terms "connected,” “coupled,” or any variant thereof mean any connection or coupling, either direct or indirect, between two or more elements, and may encompass the presence of one or more intermediate elements between two elements that are “connected” or “coupled” together.
  • the coupling or connection between the elements can be physical, logical, or a combination thereof.
  • two elements may be considered to be “connected” or “coupled” together by the use of one or more wires, cables and/or printed electrical connections, as well as by the use of electromagnetic energy, such as electromagnetic energy having wavelengths in the radio frequency region, the microwave region and the optical (both visible and invisible) region, as several non-limiting and non- exhaustive examples.
  • circuitry refers to all of the following: (a)hardware- only circuit implementations (such as implementations in only analog and/or digital circuitry) and (b) to combinations of circuits and software (and/or firmware), such as (as applicable): (i) to a combination of processor(s) or (ii) to portions of processor(s)/software (including digital signal processor(s)), software, and memory(ies) that work together to cause an apparatus, such as a mobile phone or server, to perform various functions) and (c) to circuits, such as a microprocessor(s) or a portion of a microprocessor(s), that require software or firmware for operation, even if the software or firmware is not physically present.
  • circuitry would also cover an implementation of merely a processor (or multiple processors) or portion of a processor and its (or their) accompanying software and/or firmware.
  • circuitry would also cover, for example and if applicable to the particular claim element, a baseband integrated circuit or applications processor integrated circuit for a mobile phone or a similar integrated circuit in server, a cellular network device, or other network device.
  • a method comprising capturing an image with a camera of a device; analyzing the image to determine a person in the image; determining a privacy status of the person; and modifying a portion of the image based, at least partially, on the determined privacy status of the person.
  • a method comprising capturing an image with a camera of a device; analyzing the image to determine a person in the image; determining a relationship status of the person; and modifying a portion of the image based, at least partially, on the determined relationship status of the person.
  • the method as above wherein the determining the relationship status of the person comprises determining if the person is a known person or an unknown person.
  • the determining comprises determining a privacy status of the person
  • the modifying comprises modifying the portion of the image based, at least partially, on the determined privacy status of the person.
  • the analyzing further comprises analyzing the image to determine a face of the person in the image.
  • the modifying further comprises blurring a portion of the image.
  • the method as above comprising determining if the person is a known person or an unknown person in a social network.
  • An apparatus configured to perform the method as above.
  • a computer program product comprising program instructions to perform the method as above.
  • an apparatus comprising: a camera; at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following: analyze an image captured by the camera; determine a person in the image; determine a privacy status of the person; and modify a portion of the image based, at least partially, on the determined privacy status of the person.
  • a computer program product comprising a computer- readable medium bearing computer program code embodied therein for use with a computer, the computer program code comprising: code for analyzing an image captured by a camera; code for determining a person in the image; code for determining a privacy status of the person; and code for modifying a portion of the image based, at least partially, on the determined privacy status of the person.
  • a method comprising: analyzing an image to determine a person in the image; determining a relationship status of the person; and superseding a privacy status of the person based, at least partially, on the relationship status of the person or an authorization by the person.
  • determining the relationship status of the person comprises determining if the person is a known person or an unknown person.
  • the privacy status comprises a setting set by the person when person is a known person.
  • the privacy status comprises a default setting when the person is an unknown person.
  • the superseding comprises superseding the privacy status for a predetermined amount of time, wherein after the predetermined amount of time a portion of the image is blurred.
  • An apparatus configured to perform the method above.
  • a computer program product comprising program instructions to perform the method above.
  • a method comprising: defining a first privacy setting related to a user; communicating the first privacy setting using a first radio communication network to a server; storing the first privacy setting related to the user on the server; applying the first privacy setting when analyzing an image to determine the user in the image; determining to apply a second privacy setting related to the user; and defining the second privacy setting related to the user and communicating (or sending) the second privacy setting to another device of a second user using a second radio communication network.
  • the method as above wherein in response to sending (or communicating) the second privacy setting to the another device of the second user, applying the second privacy setting and overriding the first privacy setting for a predetermined time.
  • the method as above wherein after the predetermined time a portion of the image is blurred.
  • the first radio communication network comprises a long term evolution (LTE) network.
  • the second radio communication network comprises a near field communications (NFC) network.
  • the second radio communication network comprises a Bluetooth network.
  • An apparatus configured to perform the method above.

Landscapes

  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Bioethics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Medical Informatics (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Computer Hardware Design (AREA)
  • Databases & Information Systems (AREA)
  • Telephonic Communication Services (AREA)
  • Telephone Function (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

In accordance with an example embodiment of the present invention,a method is disclosed. The method includes defining a first privacy setting related to a user. Communicating the first privacy setting using a first radio communication network to a server. Storing the first privacy setting related to the user on the server. Applying the first privacy setting when analyzing an image to determine the user in the image. Determining to apply a second privacy setting related to the user. Defining the second privacy setting related to the user and communicating the second privacy setting to another device of a second user using a second radio communication network.

Description

METHOD AND APPARATUS FOR PRIVACY PROTECTION IN IMAGES
TECHNICAL FIELD
The invention relates to privacy protection in images and, more particularly, to privacy protection in images available in social networks.
BACKGROUND
The popularity of social networks coupled with increased functionality from portable electronic devices provides opportunities to share and distribute information instantly. Accordingly, there is a need to provide improved devices having increased capabilities which facilitates a better user experience.
The following abbreviations that may be found in the specification and/or the drawing figures are defined as follows:
eNB EUTRAN Node B (evolved Node B)
EPC evolved packet core
E-UTRAN evolved UTRAN (LTE)
CDM code division multiplexing
LTE long term evolution
MAC medium access control
MM/MME mobility management/mobility management entity
Node B base station
O&M operations and maintenance
PDCP packet data convergence protocol
PHY physical
RLC radio link control
RRC radio resource control
RRM radio resource management
S GW serving gateway
UE user equipment
UTRAN universal terrestrial radio access network
SUMMARY Various aspects of examples of the invention are set out in the claims.
According to a one aspect of the present invention, a method is disclosed. The method includes defining a first privacy setting related to a user. Communicating the first privacy setting using a first radio communication network to a server. Storing the first privacy setting related to the user on the server. Applying the first privacy setting when analyzing an image to determine the user in the image. Determining to apply a second privacy setting related to the user. Defining the second privacy setting related to the user and communicating the second privacy setting to another device of a second user using a second radio communication network.
According to another aspect of the present invention, a method is disclosed. The method includes analyzing an image to determine a person in the image. Determining a relationship status of the person. Superseding (or overriding) a privacy status of the person based, at least partially, on the relationship status of the person or an authorization by the person.
According to another aspect of the present invention, a computer program product including a computer-readable medium bearing computer program code embodied therein for use with a computer is disclosed. The computer program code includes code for defining a first privacy setting related to a user. Code for communicating the first privacy setting using a first radio communication network to a server. Code for storing the first privacy setting related to the user on the server. Code for applying the first privacy setting when analyzing an image to determine the user in the image. Code for determining to apply a second privacy setting related to the user. Code for defining the second privacy setting related to the user and communicating the second privacy setting to another device of a second user using a second radio communication network.
BRIEF DESCRIPTION OF THE DRAWINGS
For a more complete understanding of example embodiments of the present invention, reference is now made to the following descriptions taken in connection with the accompanying drawings in which:
Fig. 1 a simplified block diagram of various electronic devices that are suitable for use in practicing the exemplary embodiments of this invention;
Fig. 2 is a front view of the electronic device shown in Fig. 1;
Fig. 3 is a rear view of the electronic device shown in Fig. 1;
Fig. 4 is a more particularized block diagram of the electronic device shown in Fig. 1;
Fig. 5 is a block diagram of the electronic device and a privacy server;
Fig. 6 is block diagram in accordance with the exemplary embodiments of this invention;
Fig. 7 is a block diagram in accordance with the exemplary embodiments of this invention;
Fig. 8 is a block diagram in accordance with the exemplary embodiments of this invention;
Fig. 9 is a block diagram in accordance with the exemplary embodiments of this invention;
Fig. 10 is a block diagram in accordance with the exemplary embodiments of this invention; and
Fig. 11 is a block diagram in accordance with the exemplary embodiments of this invention. DETAILED DESCRIPTION OF THE DRAWINGS
An example embodiment of the present invention and its potential advantages are understood by referring to Figs. 1 through 11 of the drawings.
Referring to Fig. 1, there is shown a simplified block diagram of various electronic devices and apparatus that are suitable for use in practicing the exemplary embodiments of this invention. Although embodiments of the invention will be described with reference to the exemplary embodiments shown in the drawings, it should be understood that the embodiments of the invention can be embodied in many alternate forms of embodiments. In addition, any suitable size, shape or type of elements or materials could be used.
In Figure 1 a wireless network 1 is adapted for communication over a wireless link 11 with an apparatus, such as a mobile communication device which may be referred to as a user equipment (UE) 10, via a network access node, such as a Node B (base station), and more specifically an eNB 12. The eNB 12 may be, for example, part of the overall architecture of a E-UTRAN system. The EUTRAN system generally includes eNBs, providing the E-UTRA user plane (PDCP/RLC/MAC/PHY) and control plane (RRC) protocol terminations towards the UE. The eNBs may be interconnected with each other by means of an X2 interface. The eNBs are also generally connected by means of an SI interface to an EPC, more specifically to a MME (Mobility Management Entity) by means of a SI MME interface and to a Serving Gateway (SGW) by means of a SI interface. The SI interface supports a many to many relationship between MMEs / Serving Gateways and eNBs. The eNB generally hosts the following functions: functions for Radio Resource Management: Radio Bearer Control, Radio Admission Control, Connection Mobility Control, Dynamic allocation of resources to UEs in both uplink and downlink (scheduling); IP header compression and encryption of the user data stream; selection of a MME at UE attachment; routing of User Plane data towards the Serving Gateway; scheduling and transmission of paging messages (originated from the MME); scheduling and transmission of broadcast information (originated from the MME or O&M); and a measurement and measurement reporting configuration for mobility and scheduling.
The network 1 may include a network control element (NCE) 14 that may include the MME/S GW functionality, and which provides connectivity with a network 1, such as a telephone network and/or a data communications network (e.g., the internet). The UE 10 includes electronic circuitry such as a controller, such as a computer or a data processor (DP) 10A, a computer-readable memory medium embodied as a memory (MEM) 10B that stores a program of computer instructions (PROG) IOC, and a suitable radio frequency (RF) transceiver 10D for bidirectional wireless communications with the eNB 12 via one or more antennas. The eNB 12 also includes a controller, such as a computer or a data processor (DP) 12 A, a computer-readable memory medium embodied as a memory (MEM) 12B that stores a program of computer instructions (PROG) 12C, and a suitable RF transceiver 12D for communication with the UE 10 via one or more antennas. The eNB 12 is coupled via a data / control path 13 to the NCE 14. The path 13 may be implemented as the SI interface. The eNB 12 may also be coupled to another eNB via data / control path 15, which may be implemented as the X2 interface. While the UE 10 and eNB 12 have been described above in connection with a transceiver, one skilled in the art will appreciate that embodiments of the invention are not necessarily so limited and that various embodiments may comprise a separate receiver and transmitter instead of a transceiver. At least one of the PROGs IOC and 12C is assumed to include program instructions that, when executed by the associated DP, enable the device to operate in accordance with the exemplary embodiments of this invention, as will be discussed below in greater detail.
That is, the exemplary embodiments of this invention may be implemented at least in part by computer software executable by the DP 10A of the UE 10 and/or by the DP 12A of the eNB 12, or by hardware, or by a combination of software and hardware (and firmware).
For the purposes of describing the exemplary embodiments of this invention the UE 10 may be assumed to also include a Privacy Protection System (PPS) 10E, and the eNB 12 may include a Privacy Protection System (PPS) 12E.
In general, the various embodiments of the UE 10 can include, but are not limited to, cellular telephones, personal digital assistants (PDAs) having wireless communication capabilities, portable computers having wireless communication capabilities, image capture devices such as digital cameras having wireless communication capabilities, gaming devices having wireless communication capabilities, music storage and playback appliances having wireless communication capabilities, Internet appliances permitting wireless Internet access and browsing, as well as portable units or terminals that incorporate combinations of such functions.
The computer readable MEMs 10B and 12B may be of any type suitable to the local technical environment and may be implemented using any suitable data storage technology, such as semiconductor based memory devices, flash memory, magnetic memory devices and systems, optical memory devices and systems, fixed memory and removable memory. The DPs 10A and 12A may be of any type suitable to the local technical environment, and may include one or more of general purpose computers, special purpose computers, microprocessors, digital signal processors (DSPs) and processors based on a multicore processor architecture, as non-limiting examples. Referring to Fig. 2, there is shown a front view of the electronic device (or user equipment [UE]) 10. The device 10 generally comprises a housing 52, a graphical display interface 20, and a user interface 22 illustrated as a keypad but understood as also encompassing touch- screen technology at the graphical display interface 20 and voice-recognition technology received at the microphone 24. A power actuator 26 controls the device being turned on and off by the user. The exemplary UE 10 may have a forward facing camera 28 (for example for video calls) and/or a rearward facing camera 29 (for example for capturing images and video for local storage, see Fig. 3). The cameras 28, 29 are controlled by a shutter actuator 30 and optionally by a zoom actuator 32 which may alternatively function as a volume adjustment for the speaker(s) 34 when the cameras 28, 29 are not in an active mode.
While various exemplary embodiments of the invention have been described above in connection with the graphical display interface 20 and the user interface 22, one skilled in the art will appreciate that exemplary embodiments of the invention are not necessarily so limited and that some embodiments may comprise only the display interface 20 (without the user interface 22) wherein the display 20 forms a touch screen user input section.
Referring now also to the sectional view of Fig. 4, there are seen multiple transmit/receive antennas 36 that are typically used for cellular communication. The antennas 36 may be multi-band for use with other radios in the UE. The operable ground plane for the antennas 36 is shown by shading as spanning the entire space enclosed by the UE housing though in some embodiments the ground plane may be limited to a smaller area, such as disposed on a printed wiring board on which the power chip 38 is formed. The power chip 38 controls power amplification on the channels being transmitted and/or across the antennas that transmit simultaneously where spatial diversity is used, and amplifies the received signals. The power chip 38 outputs the amplified received signal to the radio -frequency (RF) chip 40 which demodulates and downconverts the signal for baseband processing. The baseband (BB) chip 42 detects the signal which is then converted to a bit-stream and finally decoded. Similar processing occurs in reverse for signals generated in the apparatus 10 and transmitted from it.
Signals to and from the cameras 28, 29 pass through an image/video processor 44 which encodes and decodes the various image frames. A separate audio processor 46 may also be present controlling signals to and from the speakers 34 and the microphone 24. The graphical display interface 20 is refreshed from a frame memory 48 as controlled by a user interface chip 50 which may process signals to and from the display interface 20 and/or additionally process user inputs from the keypad 22 and elsewhere.
Certain embodiments of the UE 10 may also include one or more secondary radios such as a wireless local area network radio WLAN 37 and a Bluetooth® radio 39, which may incorporate an antenna on-chip or be coupled to an off-chip antenna. Certain embodiments may also include a near field communications (NFC) chip 51 configured for connecting with another device. Throughout the apparatus are various memories such as random access memory RAM 43, read only memory ROM 45, and in some embodiments removable memory such as the illustrated memory card 47. The various programs IOC are stored in one or more of these memories. All of these components within the UE 10 are normally powered by a portable power supply such as a battery 49.
The aforesaid processors 38, 40, 42, 44, 46, 50, if embodied as separate entities in a UE 10 or eNB 12, may operate in a slave relationship to the main processor 10A, 12A, which may then be in a master relationship to them. It should be noted that various exemplary embodiments of the invention may be disposed across various chips and memories as shown or disposed within another processor that combines some of the functions described above for Fig. 4. Any or all of these various processors of Fig. 4 access one or more of the various memories, which may be on-chip with the processor or separate therefrom. Similar function-specific components that are directed toward communications over a network broader than a piconet (e.g., components 36, 38, 40, 42-45 and 47) may also be disposed in exemplary embodiments of the access node 12, which may have an array of tower-mounted antennas rather than the two shown at Fig. 4.
Note that the various chips (e.g., 38, 40, 42, etc.) that were described above may be combined into a fewer number than described and, in a most compact case, may all be embodied physically within a single chip.
Referring now also to Fig. 5 there is shown a privacy server 60. The privacy server 60 is configured to be connected to the device 10 via a network 62, such as the internet. The connection between the network 62 and the device 10 may be provided through a link 64. According to some embodiments of the invention, the link may include a wireless link, such as the wireless link 11. According to some embodiments of the invention, the link may include a wireless link configured to be connected to a wireless data network, such as a Wi-Fi network, for example. According to some embodiments of the invention, the link may include a wired link, such as through a direct cable connection, configured to be connected to the internet. The server 60 includes a processor 66 and a memory 68 similar to the processor 10A and the memory 10B. The privacy server may further include any suitable type of features as known in the art.
Based on the foregoing it should be apparent that the exemplary embodiments of this invention provide a method, apparatus and computer program(s) to provide a privacy protection system that can provide settings for a social network and also use face recognition technology to identify faces in images uploaded on to the social network.
According to various exemplary embodiments of the invention, the privacy protection system provides for the privacy protection of an individual, wherein, for example, a person's willingness to be photographed is checked or verified before data is uploaded to a social network. The privacy protection system allows for a user of a social network to provide privacy protection in images by giving the user an option of not appearing on photographs. Referring now also to Fig. 6, the privacy protection system provides the user with an option of not appearing on photographs (at block 102). The options given to the user may be, for example: a) Appear on Friend's Photographs Yes/No; b) Appear on Stranger's Photographs Yes/No. The option provides for the user to select a privacy status that will be reflected in the social network. For example, a 'friend' may be a person on the user's list of known persons, and a 'stranger' may be a person that is not on the list of the user's known persons. However, it should be noted that according to various exemplary embodiments, the privacy status may be provided for other lists of people on the social network, such as a 'work friends' list, or a 'family friends' list, for example. In the above example, a default could be set in the privacy protection system that the 'Appear on Friend's Photographs' privacy status could be set to 'Yes', and the 'Appear on Stranger's Photographs' privacy status could be set to 'No'. However, in alternate embodiments, any default settings may be provided. With the privacy status set, the user may or may not appear in a friend 's/stranger's photograph according to the chosen option (Yes/No).
At block 104, the user preference of the privacy status is transmitted to all devices belonging to 'friends' of the user. According to some embodiments of the invention, the privacy protection system transmits the user preference from the user's device to the friends' devices. In some other embodiments of the invention, the privacy protection system transmits the user preference from the user's device to the social network, and the 'friends' devices are updated with the corresponding user preference when a connection to the social network is established.
At block 106, if a 'friend' of the user takes a photograph of the user, and the user setting in a) was 'No', then the user's face in the image is blurred or masked (or obscured) to become unrecognizable. The 'blurring' may be provided locally on the 'friends' device when the picture is taken, for example when the privacy protection system transmits the user preference from the user's device to the friends devices. Or the 'blurring' may be provided when the 'friend' uploads the picture or image to the social network, as the user preference of the privacy status is available on the social network. Otherwise, if the 'friend' of the user takes a photograph of the user, and the user setting in a) was 'Yes', then the face would be visible on the photograph.
At block 108, if a 'stranger' takes the user's photograph, then the face is automatically blurred on the device. According to some embodiments of the invention, the automatic blurring may be provided, for example when the user gives permission to the 'stranger' for taking his photograph. According to some embodiments of the invention, this permission could be done by a 'NFC shake'. Where the user can give permission for taking his/her photograph to a stranger for a specified time period using a short-mid range radio communication, such as near field communication (NFC) tags, for example, for transmitting face vectors of the user. For example, devices are brought close together, and the 'stranger's' device is updated with face vectors of the user. This will give the 'stranger' the opportunity to take photographs of the user for a specified time. According to some embodiments, the time could be specified by the user in the privacy status setting. Alternatively, the 'permission' could be provided through social networking site. For example, if the user searches for the 'stranger's' profile, and allows the stranger to take photographs/images of the user, where face vectors are transmitted with the specified time.
According to various exemplary embodiments of the invention, the privacy server 60 stores a list of the friends or contacts for the user of the device 10. The privacy server 60 may further include the privacy status/setting of images for each of the friends or contacts on the list. Furthermore, the privacy server 60 may further comprise the face vectors (or face feature vectors) for each of the friends or contacts on the list. The privacy protection system is configured to communicate with the privacy server in order to provide a synchronization of the friends/contact list, the privacy setting, and/or the face vectors between the device 10 and the server 60. For example, when one of the friends/contacts on the list changes the privacy setting, the change is reflected on the privacy server 60 and then updated on the device 10 after a synchronization is performed. Alternatively, if a face is recognized in an image, then the device 10 can communicate with the server 60 to verify the privacy status of the person. Additionally, if the user of the device 10 adds a contact on the device 10, then this is updated on the server 60 when a synchronization is performed and the server 60 further sends the privacy setting and/or the face feature vector to the device 10.
Additionally, it should be noted that the face recognition can also be performed with embodiments where the device 10 is a personal computer or a laptop computer where, for example, software (such as Zune software) can be used to recognize the face of the person in the image. Once the face is recognized the privacy status of the person is verified on with the profile information on the device. Additionally, the privacy server 60 is configured to perform similar functionality wherein the face recognition is performed on the privacy server 60 and then the device is updated when a synchronization is performed.
According to various exemplary embodiments of the invention, the connection and synchronization between the privacy protection system and the privacy server allow for superseding (or overriding), temporarily or for a certain duration, the privacy setting so that the user of the device may take an image of the person that will not be modified (such as by blurring, for example).
While various embodiments have been described above in connection with 'face vectors', one skilled in the art will appreciate that the various embodiments are not necessarily so limited and that any other suitable face recognition method may be provided. According to some other embodiments of the invention, when the 'stranger' takes the user's photograph and uploads the user's image to the social network, then the face of the user is automatically blurred as the privacy protection system has provided the user's privacy status user setting and/or the face vector (or other face recognition method/technology) to the social network to that any images uploaded by strangers are analyzed for the user's face, and once the user's face is recognized, the portion of the image which includes the face of the user is 'blurred'. Additionally, even if a 'friend' of the user takes a photograph of the user and uploads the image to the social network, then the face of the user is blurred/visible based on selected option.
Further, if the user's photograph is taken in a crowd (such as if the user is at a rally, or the theatre, for example) the face of the user is automatically blurred even when clicked by a friend. It should also be noted that it is possible that the user also agrees to be photographed by the 'stranger', and then with the corresponding settings in the privacy status, the face of the user in the image taken by the 'stranger' would be visible.
Figure 7 illustrates a method 200. The method 200 includes capturing an image with a camera of a device (at block 202). Analyzing the image to determine a person in the image (at block 204). Determining a privacy status of the person (at block 206). Modifying a portion of the image based, at least partially, on the determined privacy status of the person (at block 208). It should be noted that the illustration of a particular order of the blocks does not necessarily imply that there is a required or preferred order for the blocks and the order and arrangement of the blocks may be varied. Furthermore it may be possible for some blocks to be omitted.
Figure 8 illustrates a method 300. The method 300 includes capturing an image with a camera of a device (at block 302). Analyzing the image to determine a person in the image (at block 304). Determining a relationship status of the person (at block 306). Modifying a portion of the image based, at least partially, on the determined relationship status of the person (at block 308). It should be noted that the illustration of a particular order of the blocks does not necessarily imply that there is a required or preferred order for the blocks and the order and arrangement of the blocks may be varied. Furthermore it may be possible for some blocks to be omitted.
Figure 9 illustrates a method 400. The method 400 includes analyzing an image to determine a person in the image (at block 402). Determining a relationship status of the person (at block 404). Superseding a privacy status of the person based, at least partially, on the relationship status of the person or an authorization by the person (at block 406). It should be noted that the illustration of a particular order of the blocks does not necessarily imply that there is a required or preferred order for the blocks and the order and arrangement of the blocks may be varied. Furthermore it may be possible for some blocks to be omitted.
According to various exemplary embodiments of the invention, when the user of the device captures an image, the privacy protection system is configured to analyze the image to determine a person in the image (such as by face recognition technology, for example). The privacy protection system is configured to determine a relationship status of the person. The relationship status may be 'friend', 'family', or 'acquaintance', for recognized persons. The relationship status may be 'stranger', 'unknown', or 'not known', for persons not recognized. In the event that the person in the image is not recognized (and considered a stranger, or unknown, for example), the person's face is automatically blurred. In some embodiments of the invention, the person in the image is not recognized after the image is analyzed due to the person not being present in the contact list of the user (wherein, for example, the user's contact list includes information to compare with the image, such as an image of the person, face vectors corresponding to the person, any suitable facial recognition data, or any other suitable recognition data). In some other embodiments of the invention, the person in the image is not recognized after the image is analyzed due to the person not being on a friend list in a social networking site (wherein, for example, the person's profile in the social networking web site includes information to compare with the image, such as an image of the person, face vectors corresponding to the person, any suitable facial recognition data, or any other suitable recognition data). In the event that the person in the image is recognized (and considered a friend, or known person, or a family member, for example), and the person's privacy setting/status is set to 'privacy' or 'privacy on' for example, then the person's face would be automatically blurred. In the event that the person in the image is recognized (and considered a friend, or known person, or a family member, for example), and the person's privacy setting/status is set to 'public' or 'privacy off for example, then the person's face would be shown in the image.
Referring now also to Fig. 10, the relationship status and privacy status/setting may be checked by the privacy protection system of the device or the privacy server (or a combination of both the privacy protection system and the privacy server) wherein the image is processed/analyzed for face recognition, such as by using face feature vectors, for example (at block 502). After the face recognition is performed, the privacy protection system and/or the privacy server compare the results with the users contacts/friends list, to determine if the person in the image is known or unknown (at block 504). If the person is known, then the privacy status/setting in the person's profile of the contacts/friends list can be checked or verified for a selection of 'privacy on' or 'privacy off (at block 506). If the person is unknown, then the privacy status/setting may be a default setting (such as 'privacy on', for example) (at block 508). In some embodiments of the invention, if the unknown person is not on the user's friends list, but is a member of a social network common to the user, then there may be an additional option set by the person for the privacy status/setting. According to various exemplary embodiments of the invention, the privacy setting/status could be superseded for some time, through NFC, or through an outlook calendar event/invitation function (or any other suitable calendar function, for example). For example, if a person sends an electronic birthday invitation to be stored in a calendar application to invite friends to a party, the outlook calendar event/invitation sent by the user may have a privacy setting (or the calendar application may have a privacy setting/status for all invitations) which enables the user of the device to take pictures of all the persons invited in the calendar event/invitation (wherein the setting in the calendar event/invitation overrides any other privacy setting). Additionally, in some embodiments of the invention, the person receiving the calendar is provided an option to accept the calendar with/without the privacy setting. This can, for example, ensure that people in the invited group can take pictures of each other.
Figure 11 illustrates a method 600. The method 600 includes defining a first privacy setting related to a user (at block 602). Communicating the first privacy setting using a first radio communication network to a server, such as an LTE network, for example (at block 604). Storing the first privacy setting related to the user on the server (at block 606). Applying the first privacy setting when analyzing an image to determine the user in the image (at block 608). Determining to apply a second privacy setting related to the user (at block 610). Defining the second privacy setting related to the user and communicating (or sending) the second privacy setting to another device of a second user using a second radio communication network, such as an NFC or Bluetooth network, for example (at block 612). In response to sending (or communicating) the second privacy setting to the another device of the second user, applying the second privacy setting and overriding the first privacy setting for a predetermined time (at block 614). It should be noted that the illustration of a particular order of the blocks does not necessarily imply that there is a required or preferred order for the blocks and the order and arrangement of the blocks may be varied. Furthermore it may be possible for some blocks to be omitted. According to various exemplary embodiments of the invention, the privacy protection feature provides for use cases where two 'strangers' meet and want to take a photo without blurring (or otherwise modifying) each other's faces in the image. Various exemplary embodiments of the invention also provide for use cases where the permanent settings in the privacy server indicate "familiarity", but the users just want to blur (or otherwise modify) faces for a predetermined time. For example, if friends are together in a social setting and a 'party' atmosphere ensues where for example the user may not want to be identified in a picture(s), as the picture(s) may not portray the user in a professional manner, then the user may choose to blur or modify the image(s) taken during the social event so that he/she may not be identified.
According to various exemplary embodiments of the invention, the privacy setting(s) in the privacy server are not changed. For example, if the setting(s) is superseded or overridden by the short-mid range radio communication (such as NFC or Bluetooth, for example), then this just "disables" the function of the server privacy policy for a predetermined time. This provides for two systems for defining the privacy settings wherein the privacy server defines the privacy settings (which can be changed we the user changes his/her profile, however profile changes are generally used for long term [or non-temporary] settings), where these settings are valid all the time, excluding those times when the user decides to disable the settings using NFC or Bluetooth communications to override the settings for some predetermined short time. Without in any way limiting the scope, interpretation, or application of the claims appearing below, a technical effect of one or more of the example embodiments disclosed herein is providing privacy protection in images by giving users an option of not appearing on photographs. Another technical effect of one or more of the example embodiments disclosed herein is that a user may or may not appear in a friend 's/stranger's photograph according to the chosen option. Another technical effect of one or more of the example embodiments disclosed herein is that the user's face will not be visible or will be blurred/masked when the chosen option is 'NO'. Another technical effect of one or more of the example embodiments disclosed herein is if a stranger tries to upload a photograph of the user, probably taken from another device, the user's face is blurred. Another technical effect of one or more of the example embodiments disclosed herein is that a user can, just before going to a rally, change his settings. This ensures that the user becomes 'invisible' or unrecognizable in any photographs taken in the crowd. So, even if the user's 'friend' is taking a photograph, the user will not be visible (or recognizable) in it, as the user's face will be blurred. Another technical effect of one or more of the example embodiments disclosed herein is that the user's privacy is protected with the privacy protection system, as the user will not appear in any image where he does not intend to. Even though, in some embodiments, the image processing may become a little cumbersome to take photos, for example to provide the suitable type of blurring as to not spoil the photographs, the added benefit of privacy protection provides significant advantages. Another technical effect of one or more of the example embodiments disclosed herein is that the privacy of a person (such as the user) is respected and his photographs are not published on the web accidently. Another technical effect of one or more of the example embodiments disclosed herein is when two strangers meet and want to take a photo of each other, superseding the privacy setting stored on the server temporarily for a predetermined is possible using NFC.
Another technical effect of one or more of the example embodiments disclosed herein is that users can avoid being 'tricked' into posting images onto the social networks as, it is very easy to download images being shared publicly on the network, and the images can be morphed easily. Another technical effect of one or more of the example embodiments disclosed herein is that a user can feel safe that his/her identity is not known when images are taken at rally, and posted on the social network. Another technical effect of one or more of the example embodiments disclosed herein is that a user can avoid being captured in an image where he/she 'accidently' appears in them, such as when the user is passing through a street where these images could be uploaded onto social media/internet (and user privacy could be compromised [accidently], and he/she may not have wanted to disclose his location in any way).
In general, the various exemplary embodiments may be implemented in hardware or special purpose circuits, software, logic or any combination thereof. For example, some aspects may be implemented in hardware, while other aspects may be implemented in firmware or software which may be executed by a controller, microprocessor or other computing device, although the invention is not limited thereto. While various aspects of the exemplary embodiments of this invention may be illustrated and described as block diagrams, flow charts, or using some other pictorial representation, it is well understood that these blocks, apparatus, systems, techniques or methods described herein may be implemented in, as nonlimiting examples, hardware, software, firmware, special purpose circuits or logic, general purpose hardware or controller or other computing devices, or some combination thereof.
It should thus be appreciated that at least some aspects of the exemplary embodiments of the inventions may be practiced in various components such as integrated circuit chips and modules, and that the exemplary embodiments of this invention may be realized in an apparatus that is embodied as an integrated circuit. The integrated circuit, or circuits, may comprise circuitry (as well as possibly firmware) for embodying at least one or more of a data processor or data processors, a digital signal processor or processors, baseband circuitry and radio frequency circuitry that are configurable so as to operate in accordance with the exemplary embodiments of this invention.
Various modifications and adaptations to the foregoing exemplary embodiments of this invention may become apparent to those skilled in the relevant arts in view of the foregoing description, when read in conjunction with the accompanying drawings. However, any and all modifications will still fall within the scope of the non-limiting and exemplary embodiments of this invention.
For example, while the exemplary embodiments have been described above in the context of the EUTRAN (UTRAN-LTE) system, it should be appreciated that the exemplary embodiments of this invention are not limited for use with only this one particular type of wireless communication system, and that they may be used to advantage in other wireless communication systems such as for example (WLAN, UTRAN, GSM as appropriate). It should be noted that the terms "connected," "coupled," or any variant thereof, mean any connection or coupling, either direct or indirect, between two or more elements, and may encompass the presence of one or more intermediate elements between two elements that are "connected" or "coupled" together. The coupling or connection between the elements can be physical, logical, or a combination thereof. As employed herein two elements may be considered to be "connected" or "coupled" together by the use of one or more wires, cables and/or printed electrical connections, as well as by the use of electromagnetic energy, such as electromagnetic energy having wavelengths in the radio frequency region, the microwave region and the optical (both visible and invisible) region, as several non-limiting and non- exhaustive examples.
As used in this application, the term 'circuitry' refers to all of the following: (a)hardware- only circuit implementations (such as implementations in only analog and/or digital circuitry) and (b) to combinations of circuits and software (and/or firmware), such as (as applicable): (i) to a combination of processor(s) or (ii) to portions of processor(s)/software (including digital signal processor(s)), software, and memory(ies) that work together to cause an apparatus, such as a mobile phone or server, to perform various functions) and (c) to circuits, such as a microprocessor(s) or a portion of a microprocessor(s), that require software or firmware for operation, even if the software or firmware is not physically present.
This definition of 'circuitry' applies to all uses of this term in this application, including in any claims. As a further example, as used in this application, the term "circuitry" would also cover an implementation of merely a processor (or multiple processors) or portion of a processor and its (or their) accompanying software and/or firmware. The term "circuitry" would also cover, for example and if applicable to the particular claim element, a baseband integrated circuit or applications processor integrated circuit for a mobile phone or a similar integrated circuit in server, a cellular network device, or other network device.
Below are provided further descriptions of various non-limiting, exemplary embodiments. The below-described exemplary embodiments may be practiced in conjunction with one or more other aspects or exemplary embodiments. That is, the exemplary embodiments of the invention, such as those described immediately below, may be implemented, practiced or utilized in any combination (e.g., any combination that is suitable, practicable and/or feasible) and are not limited only to those combinations described herein and/or included in the appended claims.
In one exemplary embodiment, a method comprising capturing an image with a camera of a device; analyzing the image to determine a person in the image; determining a privacy status of the person; and modifying a portion of the image based, at least partially, on the determined privacy status of the person.
In another exemplary embodiment, a method comprising capturing an image with a camera of a device; analyzing the image to determine a person in the image; determining a relationship status of the person; and modifying a portion of the image based, at least partially, on the determined relationship status of the person. The method as above wherein the determining the relationship status of the person comprises determining if the person is a known person or an unknown person.
The method as above wherein the determining comprises determining a privacy status of the person, and wherein the modifying comprises modifying the portion of the image based, at least partially, on the determined privacy status of the person.
The method as above, wherein the analyzing further comprises analyzing the image to determine a face of the person in the image.
The method as above, wherein the modifying further comprises blurring a portion of the image.
The method as above, wherein the person is not recognizable in the image after the portion of the image is modified.
The method as above, comprising determining if the person is a known person or an unknown person in a social network. The method as above, wherein the privacy status is set by the person.
An apparatus configured to perform the method as above.
A method substantially as herein described and illustrated in the accompanying drawings.
An apparatus substantially as herein described and illustrated in the accompanying drawings.
A computer program product comprising program instructions to perform the method as above.
In another exemplary embodiment, an apparatus, comprising: a camera; at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following: analyze an image captured by the camera; determine a person in the image; determine a privacy status of the person; and modify a portion of the image based, at least partially, on the determined privacy status of the person. In another exemplary embodiment, a computer program product comprising a computer- readable medium bearing computer program code embodied therein for use with a computer, the computer program code comprising: code for analyzing an image captured by a camera; code for determining a person in the image; code for determining a privacy status of the person; and code for modifying a portion of the image based, at least partially, on the determined privacy status of the person. In another exemplary embodiment, a method comprising: analyzing an image to determine a person in the image; determining a relationship status of the person; and superseding a privacy status of the person based, at least partially, on the relationship status of the person or an authorization by the person.
The method as above wherein the determining the relationship status of the person comprises determining if the person is a known person or an unknown person.
The method as above wherein the privacy status comprises a setting set by the person when person is a known person.
The method as above wherein the privacy status comprises a default setting when the person is an unknown person. The method as above wherein the superseding comprises superseding the privacy status for a predetermined amount of time, wherein after the predetermined amount of time a portion of the image is blurred.
The method as above wherein the authorization by the person is provided by a short-mid range radio communication.
An apparatus configured to perform the method above.
The method as above substantially and as herein described and illustrated in the accompanying drawings.
An apparatus substantially as herein described and illustrated in the accompanying drawings.
A computer program product comprising program instructions to perform the method above.
In another exemplary embodiment, a method comprising: defining a first privacy setting related to a user; communicating the first privacy setting using a first radio communication network to a server; storing the first privacy setting related to the user on the server; applying the first privacy setting when analyzing an image to determine the user in the image; determining to apply a second privacy setting related to the user; and defining the second privacy setting related to the user and communicating (or sending) the second privacy setting to another device of a second user using a second radio communication network.
The method as above wherein in response to sending (or communicating) the second privacy setting to the another device of the second user, applying the second privacy setting and overriding the first privacy setting for a predetermined time. The method as above wherein after the predetermined time a portion of the image is blurred. The method as above wherein the first radio communication network comprises a long term evolution (LTE) network. The method as above wherein the second radio communication network comprises a near field communications (NFC) network.
The method as above wherein the second radio communication network comprises a Bluetooth network.
An apparatus configured to perform the method above.
The method as above substantially and as herein described and illustrated in the accompanying drawings.
An apparatus substantially as herein described and illustrated in the accompanying drawings. A computer program product comprising program instructions to perform the method above. If desired, the different functions discussed herein may be performed in a different order and/or concurrently with each other. Furthermore, if desired, one or more of the above- described functions may be optional or may be combined.
Although various aspects of the invention are set out in the independent claims, other aspects of the invention comprise other combinations of features from the described embodiments and/or the dependent claims with the features of the independent claims, and not solely the combinations explicitly set out in the claims.
It should be understood that the foregoing description is only illustrative of the invention. Various alternatives and modifications can be devised by those skilled in the art without departing from the invention. Accordingly, the invention is intended to embrace all such alternatives, modifications and variances which fall within the scope of the appended claims.

Claims

WE CLAIM:
1. A method comprising:
defining a first privacy setting related to a user;
communicating the first privacy setting using a first radio communication network to a server;
storing the first privacy setting related to the user on the server;
applying the first privacy setting when analyzing an image to determine the user in the image;
determining to apply a second privacy setting related to the user; and
defining the second privacy setting related to the user and communicating the second privacy setting to another device of a second user using a second radio communication network.
2. A method as claimed in claim 1 wherein in response to communicating the second privacy setting to the another device of the second user, applying the second privacy setting and overriding the first privacy setting for a predetermined time.
3. A method as claimed in claim 2 wherein after the predetermined time a portion of the image is blurred.
4. A method as claimed in any of claims 1-3 wherein the first radio communication network comprises a long term evolution (LTE) network.
5. A method as claimed in any of claims 1-4 wherein the second radio communication network comprises a near field communications (NFC) network.
6. A method as claimed in any of claims 1-5 wherein the second radio communication network comprises a Bluetooth network.
7. An apparatus configured to perform the method as claimed in claims 1-6.
8. A method substantially as herein described and illustrated in the accompanying drawings.
9. An apparatus substantially as herein described and illustrated in the accompanying drawings.
10. A computer program product comprising program instructions to perform the method as claimed in claims 1-6.
PCT/FI2013/050434 2012-04-27 2013-04-19 Method and apparatus for privacy protection in images WO2013160539A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US14/396,209 US9582681B2 (en) 2012-04-27 2013-04-19 Method and apparatus for privacy protection in images

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN1657/CHE/2012 2012-04-27
IN1657CH2012 2012-04-27

Publications (1)

Publication Number Publication Date
WO2013160539A1 true WO2013160539A1 (en) 2013-10-31

Family

ID=49482264

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/FI2013/050434 WO2013160539A1 (en) 2012-04-27 2013-04-19 Method and apparatus for privacy protection in images

Country Status (2)

Country Link
US (1) US9582681B2 (en)
WO (1) WO2013160539A1 (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2871592A1 (en) * 2013-11-06 2015-05-13 Canon Kabushiki Kaisha Information processing apparatus, control method therefor and system
EP2902941A1 (en) * 2014-01-29 2015-08-05 Sony Corporation System and method for visually distinguishing faces in a digital image
DE102015103121A1 (en) 2015-03-04 2016-09-08 Omid SULTANI METHOD AND SYSTEM FOR COMPUTER-BASED SAFE COMMUNICATION BETWEEN DATA PROCESSING UNITS
JPWO2015136796A1 (en) * 2014-03-10 2017-04-06 ソニー株式会社 Information processing apparatus, storage medium, and control method
CN107911563A (en) * 2017-12-28 2018-04-13 维沃移动通信有限公司 A kind of image processing method and mobile terminal

Families Citing this family (178)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9582681B2 (en) * 2012-04-27 2017-02-28 Nokia Technologies Oy Method and apparatus for privacy protection in images
WO2014028009A1 (en) * 2012-08-15 2014-02-20 Empire Technology Development Llc Digital media privacy protection
US9799036B2 (en) 2013-10-10 2017-10-24 Elwha Llc Devices, methods, and systems for managing representations of entities through use of privacy indicators
US20150106949A1 (en) * 2013-10-10 2015-04-16 Elwha Llc Devices, methods, and systems for managing representations of entities through use of privacy indicators
US10013564B2 (en) 2013-10-10 2018-07-03 Elwha Llc Methods, systems, and devices for handling image capture devices and captured images
US20150106195A1 (en) 2013-10-10 2015-04-16 Elwha Llc Methods, systems, and devices for handling inserted data into captured images
US10346624B2 (en) 2013-10-10 2019-07-09 Elwha Llc Methods, systems, and devices for obscuring entities depicted in captured images
US10185841B2 (en) 2013-10-10 2019-01-22 Elwha Llc Devices, methods, and systems for managing representations of entities through use of privacy beacons
US10834290B2 (en) 2013-10-10 2020-11-10 Elwha Llc Methods, systems, and devices for delivering image data from captured images to devices
US20150106950A1 (en) * 2013-10-10 2015-04-16 Elwha Llc Methods, systems, and devices for handling image capture devices and captured images
US9367939B2 (en) 2013-10-22 2016-06-14 Nokia Technologies Oy Relevance based visual media item modification
US20150186672A1 (en) * 2013-12-31 2015-07-02 Yahoo! Inc. Photo privacy
US9323983B2 (en) * 2014-05-29 2016-04-26 Comcast Cable Communications, Llc Real-time image and audio replacement for visual acquisition devices
US9729583B1 (en) 2016-06-10 2017-08-08 OneTrust, LLC Data processing systems and methods for performing privacy assessments and monitoring of new versions of computer code for privacy compliance
US9955059B2 (en) * 2014-10-29 2018-04-24 Kabushiki Kaisha Toshiba Electronic device, method, and computer program product
US9830505B2 (en) * 2014-11-12 2017-11-28 International Business Machines Corporation Identifying and obscuring faces of specific individuals in an image
US9990513B2 (en) 2014-12-29 2018-06-05 Entefy Inc. System and method of applying adaptive privacy controls to lossy file types
US10015364B2 (en) * 2015-05-11 2018-07-03 Pictureworks Pte Ltd System and method for previewing digital content
EP3317773B1 (en) 2015-07-02 2024-03-20 Privowny, Inc. Systems and methods for media privacy
US11244367B2 (en) 2016-04-01 2022-02-08 OneTrust, LLC Data processing systems and methods for integrating privacy information management systems with data loss prevention tools or other tools for privacy design
US20220164840A1 (en) 2016-04-01 2022-05-26 OneTrust, LLC Data processing systems and methods for integrating privacy information management systems with data loss prevention tools or other tools for privacy design
US11004125B2 (en) 2016-04-01 2021-05-11 OneTrust, LLC Data processing systems and methods for integrating privacy information management systems with data loss prevention tools or other tools for privacy design
US10706447B2 (en) 2016-04-01 2020-07-07 OneTrust, LLC Data processing systems and communication systems and methods for the efficient generation of privacy risk assessments
US11562097B2 (en) 2016-06-10 2023-01-24 OneTrust, LLC Data processing systems for central consent repository and related methods
US10769301B2 (en) 2016-06-10 2020-09-08 OneTrust, LLC Data processing systems for webform crawling to map processing activities and related methods
US11586700B2 (en) 2016-06-10 2023-02-21 OneTrust, LLC Data processing systems and methods for automatically blocking the use of tracking tools
US10685140B2 (en) 2016-06-10 2020-06-16 OneTrust, LLC Consent receipt management systems and related methods
US10318761B2 (en) 2016-06-10 2019-06-11 OneTrust, LLC Data processing systems and methods for auditing data request compliance
US10776517B2 (en) 2016-06-10 2020-09-15 OneTrust, LLC Data processing systems for calculating and communicating cost of fulfilling data subject access requests and related methods
US10565236B1 (en) 2016-06-10 2020-02-18 OneTrust, LLC Data processing systems for generating and populating a data inventory
US10997315B2 (en) 2016-06-10 2021-05-04 OneTrust, LLC Data processing systems for fulfilling data subject access requests and related methods
US11416798B2 (en) 2016-06-10 2022-08-16 OneTrust, LLC Data processing systems and methods for providing training in a vendor procurement process
US11625502B2 (en) 2016-06-10 2023-04-11 OneTrust, LLC Data processing systems for identifying and modifying processes that are subject to data subject access requests
US11475136B2 (en) 2016-06-10 2022-10-18 OneTrust, LLC Data processing systems for data transfer risk identification and related methods
US11416590B2 (en) 2016-06-10 2022-08-16 OneTrust, LLC Data processing and scanning systems for assessing vendor risk
US10944725B2 (en) 2016-06-10 2021-03-09 OneTrust, LLC Data processing systems and methods for using a data model to select a target data asset in a data migration
US10510031B2 (en) 2016-06-10 2019-12-17 OneTrust, LLC Data processing systems for identifying, assessing, and remediating data processing risks using data modeling techniques
US11087260B2 (en) 2016-06-10 2021-08-10 OneTrust, LLC Data processing systems and methods for customizing privacy training
US10740487B2 (en) 2016-06-10 2020-08-11 OneTrust, LLC Data processing systems and methods for populating and maintaining a centralized database of personal data
US11366909B2 (en) 2016-06-10 2022-06-21 OneTrust, LLC Data processing and scanning systems for assessing vendor risk
US10848523B2 (en) 2016-06-10 2020-11-24 OneTrust, LLC Data processing systems for data-transfer risk identification, cross-border visualization generation, and related methods
US10839102B2 (en) 2016-06-10 2020-11-17 OneTrust, LLC Data processing systems for identifying and modifying processes that are subject to data subject access requests
US10726158B2 (en) 2016-06-10 2020-07-28 OneTrust, LLC Consent receipt management and automated process blocking systems and related methods
US11328092B2 (en) 2016-06-10 2022-05-10 OneTrust, LLC Data processing systems for processing and managing data subject access in a distributed environment
US10853501B2 (en) 2016-06-10 2020-12-01 OneTrust, LLC Data processing and scanning systems for assessing vendor risk
US11151233B2 (en) 2016-06-10 2021-10-19 OneTrust, LLC Data processing and scanning systems for assessing vendor risk
US10467432B2 (en) 2016-06-10 2019-11-05 OneTrust, LLC Data processing systems for use in automatically generating, populating, and submitting data subject access requests
US10776518B2 (en) 2016-06-10 2020-09-15 OneTrust, LLC Consent receipt management systems and related methods
US11138242B2 (en) 2016-06-10 2021-10-05 OneTrust, LLC Data processing systems and methods for automatically detecting and documenting privacy-related aspects of computer software
US11025675B2 (en) 2016-06-10 2021-06-01 OneTrust, LLC Data processing systems and methods for performing privacy assessments and monitoring of new versions of computer code for privacy compliance
US10242228B2 (en) 2016-06-10 2019-03-26 OneTrust, LLC Data processing systems for measuring privacy maturity within an organization
US10846433B2 (en) 2016-06-10 2020-11-24 OneTrust, LLC Data processing consent management systems and related methods
US11074367B2 (en) 2016-06-10 2021-07-27 OneTrust, LLC Data processing systems for identity validation for consumer rights requests and related methods
US11228620B2 (en) 2016-06-10 2022-01-18 OneTrust, LLC Data processing systems for data-transfer risk identification, cross-border visualization generation, and related methods
US11410106B2 (en) 2016-06-10 2022-08-09 OneTrust, LLC Privacy management systems and methods
US11222139B2 (en) 2016-06-10 2022-01-11 OneTrust, LLC Data processing systems and methods for automatic discovery and assessment of mobile software development kits
US10796260B2 (en) 2016-06-10 2020-10-06 OneTrust, LLC Privacy management systems and methods
US11636171B2 (en) 2016-06-10 2023-04-25 OneTrust, LLC Data processing user interface monitoring systems and related methods
US10878127B2 (en) 2016-06-10 2020-12-29 OneTrust, LLC Data subject access request processing systems and related methods
US11301796B2 (en) 2016-06-10 2022-04-12 OneTrust, LLC Data processing systems and methods for customizing privacy training
US11544667B2 (en) 2016-06-10 2023-01-03 OneTrust, LLC Data processing systems for generating and populating a data inventory
US10706174B2 (en) 2016-06-10 2020-07-07 OneTrust, LLC Data processing systems for prioritizing data subject access requests for fulfillment and related methods
US11134086B2 (en) 2016-06-10 2021-09-28 OneTrust, LLC Consent conversion optimization systems and related methods
US11227247B2 (en) 2016-06-10 2022-01-18 OneTrust, LLC Data processing systems and methods for bundled privacy policies
US11727141B2 (en) 2016-06-10 2023-08-15 OneTrust, LLC Data processing systems and methods for synching privacy-related user consent across multiple computing devices
US10585968B2 (en) 2016-06-10 2020-03-10 OneTrust, LLC Data processing systems for fulfilling data subject access requests and related methods
US10565161B2 (en) 2016-06-10 2020-02-18 OneTrust, LLC Data processing systems for processing data subject access requests
US11295316B2 (en) 2016-06-10 2022-04-05 OneTrust, LLC Data processing systems for identity validation for consumer rights requests and related methods
US11354434B2 (en) 2016-06-10 2022-06-07 OneTrust, LLC Data processing systems for verification of consent and notice processing and related methods
US11057356B2 (en) 2016-06-10 2021-07-06 OneTrust, LLC Automated data processing systems and methods for automatically processing data subject access requests using a chatbot
US11675929B2 (en) 2016-06-10 2023-06-13 OneTrust, LLC Data processing consent sharing systems and related methods
US10909265B2 (en) 2016-06-10 2021-02-02 OneTrust, LLC Application privacy scanning systems and related methods
US12118121B2 (en) 2016-06-10 2024-10-15 OneTrust, LLC Data subject access request processing systems and related methods
US11651106B2 (en) 2016-06-10 2023-05-16 OneTrust, LLC Data processing systems for fulfilling data subject access requests and related methods
US10678945B2 (en) 2016-06-10 2020-06-09 OneTrust, LLC Consent receipt management systems and related methods
US11222142B2 (en) 2016-06-10 2022-01-11 OneTrust, LLC Data processing systems for validating authorization for personal data collection, storage, and processing
US10592692B2 (en) 2016-06-10 2020-03-17 OneTrust, LLC Data processing systems for central consent repository and related methods
US11210420B2 (en) 2016-06-10 2021-12-28 OneTrust, LLC Data subject access request processing systems and related methods
US10496846B1 (en) * 2016-06-10 2019-12-03 OneTrust, LLC Data processing and communications systems and methods for the efficient implementation of privacy by design
US10949170B2 (en) 2016-06-10 2021-03-16 OneTrust, LLC Data processing systems for integration of consumer feedback with data subject access requests and related methods
US11138299B2 (en) 2016-06-10 2021-10-05 OneTrust, LLC Data processing and scanning systems for assessing vendor risk
US11343284B2 (en) 2016-06-10 2022-05-24 OneTrust, LLC Data processing systems and methods for performing privacy assessments and monitoring of new versions of computer code for privacy compliance
US10885485B2 (en) 2016-06-10 2021-01-05 OneTrust, LLC Privacy management systems and methods
US11438386B2 (en) 2016-06-10 2022-09-06 OneTrust, LLC Data processing systems for data-transfer risk identification, cross-border visualization generation, and related methods
US10503926B2 (en) 2016-06-10 2019-12-10 OneTrust, LLC Consent receipt management systems and related methods
US11651104B2 (en) 2016-06-10 2023-05-16 OneTrust, LLC Consent receipt management systems and related methods
US10706131B2 (en) 2016-06-10 2020-07-07 OneTrust, LLC Data processing systems and methods for efficiently assessing the risk of privacy campaigns
US10873606B2 (en) 2016-06-10 2020-12-22 OneTrust, LLC Data processing systems for data-transfer risk identification, cross-border visualization generation, and related methods
US11144622B2 (en) 2016-06-10 2021-10-12 OneTrust, LLC Privacy management systems and methods
US11416589B2 (en) 2016-06-10 2022-08-16 OneTrust, LLC Data processing and scanning systems for assessing vendor risk
US12052289B2 (en) 2016-06-10 2024-07-30 OneTrust, LLC Data processing systems for data-transfer risk identification, cross-border visualization generation, and related methods
US10169609B1 (en) 2016-06-10 2019-01-01 OneTrust, LLC Data processing systems for fulfilling data subject access requests and related methods
US11520928B2 (en) 2016-06-10 2022-12-06 OneTrust, LLC Data processing systems for generating personal data receipts and related methods
US10706379B2 (en) 2016-06-10 2020-07-07 OneTrust, LLC Data processing systems for automatic preparation for remediation and related methods
US11416109B2 (en) 2016-06-10 2022-08-16 OneTrust, LLC Automated data processing systems and methods for automatically processing data subject access requests using a chatbot
US11238390B2 (en) 2016-06-10 2022-02-01 OneTrust, LLC Privacy management systems and methods
US11200341B2 (en) 2016-06-10 2021-12-14 OneTrust, LLC Consent receipt management systems and related methods
US10896394B2 (en) 2016-06-10 2021-01-19 OneTrust, LLC Privacy management systems and methods
US10708305B2 (en) 2016-06-10 2020-07-07 OneTrust, LLC Automated data processing systems and methods for automatically processing requests for privacy-related information
US11146566B2 (en) 2016-06-10 2021-10-12 OneTrust, LLC Data processing systems for fulfilling data subject access requests and related methods
US12045266B2 (en) 2016-06-10 2024-07-23 OneTrust, LLC Data processing systems for generating and populating a data inventory
US10607028B2 (en) 2016-06-10 2020-03-31 OneTrust, LLC Data processing systems for data testing to confirm data deletion and related methods
US11294939B2 (en) 2016-06-10 2022-04-05 OneTrust, LLC Data processing systems and methods for automatically detecting and documenting privacy-related aspects of computer software
US10803200B2 (en) 2016-06-10 2020-10-13 OneTrust, LLC Data processing systems for processing and managing data subject access in a distributed environment
US10762236B2 (en) 2016-06-10 2020-09-01 OneTrust, LLC Data processing user interface monitoring systems and related methods
US10776514B2 (en) 2016-06-10 2020-09-15 OneTrust, LLC Data processing systems for the identification and deletion of personal data in computer systems
US10949565B2 (en) 2016-06-10 2021-03-16 OneTrust, LLC Data processing systems for generating and populating a data inventory
US10606916B2 (en) 2016-06-10 2020-03-31 OneTrust, LLC Data processing user interface monitoring systems and related methods
US11100444B2 (en) 2016-06-10 2021-08-24 OneTrust, LLC Data processing systems and methods for providing training in a vendor procurement process
US10592648B2 (en) 2016-06-10 2020-03-17 OneTrust, LLC Consent receipt management systems and related methods
US11392720B2 (en) 2016-06-10 2022-07-19 OneTrust, LLC Data processing systems for verification of consent and notice processing and related methods
US10783256B2 (en) 2016-06-10 2020-09-22 OneTrust, LLC Data processing systems for data transfer risk identification and related methods
US11277448B2 (en) 2016-06-10 2022-03-15 OneTrust, LLC Data processing systems for data-transfer risk identification, cross-border visualization generation, and related methods
US11481710B2 (en) 2016-06-10 2022-10-25 OneTrust, LLC Privacy management systems and methods
US11366786B2 (en) 2016-06-10 2022-06-21 OneTrust, LLC Data processing systems for processing data subject access requests
US10997318B2 (en) 2016-06-10 2021-05-04 OneTrust, LLC Data processing systems for generating and populating a data inventory for processing data access requests
US11341447B2 (en) 2016-06-10 2022-05-24 OneTrust, LLC Privacy management systems and methods
US11188615B2 (en) 2016-06-10 2021-11-30 OneTrust, LLC Data processing consent capture systems and related methods
US10284604B2 (en) 2016-06-10 2019-05-07 OneTrust, LLC Data processing and scanning systems for generating and populating a data inventory
US11403377B2 (en) 2016-06-10 2022-08-02 OneTrust, LLC Privacy management systems and methods
US11336697B2 (en) 2016-06-10 2022-05-17 OneTrust, LLC Data processing systems for data-transfer risk identification, cross-border visualization generation, and related methods
US11354435B2 (en) 2016-06-10 2022-06-07 OneTrust, LLC Data processing systems for data testing to confirm data deletion and related methods
US10706176B2 (en) 2016-06-10 2020-07-07 OneTrust, LLC Data-processing consent refresh, re-prompt, and recapture systems and related methods
US10798133B2 (en) 2016-06-10 2020-10-06 OneTrust, LLC Data processing systems for data-transfer risk identification, cross-border visualization generation, and related methods
US11023842B2 (en) 2016-06-10 2021-06-01 OneTrust, LLC Data processing systems and methods for bundled privacy policies
US10572686B2 (en) 2016-06-10 2020-02-25 OneTrust, LLC Consent receipt management systems and related methods
US10416966B2 (en) 2016-06-10 2019-09-17 OneTrust, LLC Data processing systems for identity validation of data subject access requests and related methods
US10565397B1 (en) 2016-06-10 2020-02-18 OneTrust, LLC Data processing systems for fulfilling data subject access requests and related methods
US11188862B2 (en) 2016-06-10 2021-11-30 OneTrust, LLC Privacy management systems and methods
US11418492B2 (en) 2016-06-10 2022-08-16 OneTrust, LLC Data processing systems and methods for using a data model to select a target data asset in a data migration
US10282559B2 (en) 2016-06-10 2019-05-07 OneTrust, LLC Data processing systems for identifying, assessing, and remediating data processing risks using data modeling techniques
US10282700B2 (en) 2016-06-10 2019-05-07 OneTrust, LLC Data processing systems for generating and populating a data inventory
US11222309B2 (en) 2016-06-10 2022-01-11 OneTrust, LLC Data processing systems for generating and populating a data inventory
US11461500B2 (en) 2016-06-10 2022-10-04 OneTrust, LLC Data processing systems for cookie compliance testing with website scanning and related methods
US10713387B2 (en) 2016-06-10 2020-07-14 OneTrust, LLC Consent conversion optimization systems and related methods
US10909488B2 (en) 2016-06-10 2021-02-02 OneTrust, LLC Data processing systems for assessing readiness for responding to privacy-related incidents
US11157600B2 (en) 2016-06-10 2021-10-26 OneTrust, LLC Data processing and scanning systems for assessing vendor risk
US11038925B2 (en) 2016-06-10 2021-06-15 OneTrust, LLC Data processing systems for data-transfer risk identification, cross-border visualization generation, and related methods
US9986152B2 (en) 2016-08-02 2018-05-29 International Business Machines Corporation Intelligently capturing digital images based on user preferences
US11068696B2 (en) * 2016-08-24 2021-07-20 International Business Machines Corporation Protecting individuals privacy in public through visual opt-out, signal detection, and marker detection
US10055871B2 (en) 2016-10-12 2018-08-21 International Business Machines Corporation Applying an image overlay to an image based on relationship of the people identified in the image
US10169849B2 (en) 2016-11-11 2019-01-01 International Business Machines Corporation Contextual personalized focus for variable depth of field photographs on social networks
US10229312B2 (en) 2016-12-30 2019-03-12 Facebook, Inc. Systems and methods for providing augmented reality overlays
WO2018125762A1 (en) * 2016-12-30 2018-07-05 Facebook, Inc. Systems and methods for providing augmented reality overlays
US10169597B2 (en) * 2016-12-31 2019-01-01 Entefy Inc. System and method of applying adaptive privacy control layers to encoded media file types
US10037413B2 (en) * 2016-12-31 2018-07-31 Entefy Inc. System and method of applying multiple adaptive privacy control layers to encoded media file types
US10587585B2 (en) 2016-12-31 2020-03-10 Entefy Inc. System and method of presenting dynamically-rendered content in structured documents
US10395047B2 (en) 2016-12-31 2019-08-27 Entefy Inc. System and method of applying multiple adaptive privacy control layers to single-layered media file types
US10244161B2 (en) * 2017-01-13 2019-03-26 Microsoft Technology Licensing, Llc Capturing and viewing private photos and videos
US10013577B1 (en) 2017-06-16 2018-07-03 OneTrust, LLC Data processing systems for identifying whether cookies contain personally identifying information
US10410000B1 (en) 2017-12-29 2019-09-10 Entefy Inc. System and method of applying adaptive privacy control regions to bitstream data
US10305683B1 (en) 2017-12-29 2019-05-28 Entefy Inc. System and method of applying multiple adaptive privacy control layers to multi-channel bitstream data
US10757323B2 (en) * 2018-04-05 2020-08-25 Motorola Mobility Llc Electronic device with image capture command source identification and corresponding methods
US11605242B2 (en) 2018-06-07 2023-03-14 Motorola Mobility Llc Methods and devices for identifying multiple persons within an environment of an electronic device
US11100204B2 (en) 2018-07-19 2021-08-24 Motorola Mobility Llc Methods and devices for granting increasing operational access with increasing authentication factors
US11544409B2 (en) 2018-09-07 2023-01-03 OneTrust, LLC Data processing systems and methods for automatically protecting sensitive data within privacy management systems
US10803202B2 (en) 2018-09-07 2020-10-13 OneTrust, LLC Data processing systems for orphaned data identification and deletion and related methods
US11144675B2 (en) 2018-09-07 2021-10-12 OneTrust, LLC Data processing systems and methods for automatically protecting sensitive data within privacy management systems
US12026284B2 (en) 2018-11-20 2024-07-02 HCL Technologies Italy S.p.A System and method for facilitating a secure access to a photograph over a social networking platform
US11321487B2 (en) * 2019-08-23 2022-05-03 International Business Machines Corporation Contextual privacy policy implementation via digital blurring system
CN114766019A (en) * 2019-11-25 2022-07-19 瑞典爱立信有限公司 Face anonymization system based on block chain
US11797528B2 (en) 2020-07-08 2023-10-24 OneTrust, LLC Systems and methods for targeted data discovery
WO2022026564A1 (en) 2020-07-28 2022-02-03 OneTrust, LLC Systems and methods for automatically blocking the use of tracking tools
WO2022032072A1 (en) 2020-08-06 2022-02-10 OneTrust, LLC Data processing systems and methods for automatically redacting unstructured data from a data subject access request
US11562467B2 (en) 2020-08-31 2023-01-24 Servicenow Canada Inc. Method and system for designing an optical filter
US11436373B2 (en) 2020-09-15 2022-09-06 OneTrust, LLC Data processing systems and methods for detecting tools for the automatic blocking of consent requests
WO2022061270A1 (en) 2020-09-21 2022-03-24 OneTrust, LLC Data processing systems and methods for automatically detecting target data transfers and target data processing
US11645403B2 (en) 2020-09-22 2023-05-09 AVAST Software s.r.o. Data sharing and storage control system and method
US11397819B2 (en) 2020-11-06 2022-07-26 OneTrust, LLC Systems and methods for identifying data processing activities based on data discovery results
US11687528B2 (en) 2021-01-25 2023-06-27 OneTrust, LLC Systems and methods for discovery, classification, and indexing of data in a native computing system
WO2022170047A1 (en) 2021-02-04 2022-08-11 OneTrust, LLC Managing custom attributes for domain objects defined within microservices
US11494515B2 (en) 2021-02-08 2022-11-08 OneTrust, LLC Data processing systems and methods for anonymizing data samples in classification analysis
US20240098109A1 (en) 2021-02-10 2024-03-21 OneTrust, LLC Systems and methods for mitigating risks of third-party computing system functionality integration into a first-party computing system
WO2022178089A1 (en) 2021-02-17 2022-08-25 OneTrust, LLC Managing custom workflows for domain objects defined within microservices
WO2022178219A1 (en) 2021-02-18 2022-08-25 OneTrust, LLC Selective redaction of media content
US11533315B2 (en) 2021-03-08 2022-12-20 OneTrust, LLC Data transfer discovery and analysis systems and related methods
US11562078B2 (en) 2021-04-16 2023-01-24 OneTrust, LLC Assessing and managing computational risk involved with integrating third party computing functionality within a computing system
US11620142B1 (en) 2022-06-03 2023-04-04 OneTrust, LLC Generating and customizing user interfaces for demonstrating functions of interactive user environments

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1311124A1 (en) * 2001-11-13 2003-05-14 Matsushita Electric Industrial Co., Ltd. Selective protection method for images transmission
US20080134294A1 (en) * 2006-11-30 2008-06-05 Microsoft Corporation Personal Site Privacy Policy
US20090207269A1 (en) * 2008-02-15 2009-08-20 Sony Corporation Image processing device, camera device, communication system, image processing method, and program
US20100318571A1 (en) * 2009-06-16 2010-12-16 Leah Pearlman Selective Content Accessibility in a Social Network
US20110321132A1 (en) * 2010-06-25 2011-12-29 Slingerland Florin Van System, method, and policy engine for granting temporary access to electronic content
WO2012035149A1 (en) * 2010-09-16 2012-03-22 Connected Zinking S.L. Social discovery network system and method based on mobile positioning

Family Cites Families (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7095854B1 (en) * 1995-02-13 2006-08-22 Intertrust Technologies Corp. Systems and methods for secure transaction management and electronic rights protection
US6959099B2 (en) 2001-12-06 2005-10-25 Koninklijke Philips Electronics N.V. Method and apparatus for automatic face blurring
JP4442112B2 (en) 2003-04-16 2010-03-31 ソニー株式会社 Image display apparatus and image blur prevention method
US20080064333A1 (en) 2004-02-28 2008-03-13 Hymes Charles M System and method for specifying observed targets and subsequent communication
US7945653B2 (en) * 2006-10-11 2011-05-17 Facebook, Inc. Tagging digital media
JP5043421B2 (en) * 2005-12-28 2012-10-10 キヤノン株式会社 Information processing apparatus and method
US8098904B2 (en) 2008-03-31 2012-01-17 Google Inc. Automatic face detection and identity masking in images, and applications thereof
KR101562972B1 (en) 2009-03-26 2015-10-26 삼성전자 주식회사 Picture jointing apparatus and method providing differential picture according to jointing level
US8467613B2 (en) * 2009-09-28 2013-06-18 International Business Machines Corporation Automatic retrieval of object interaction relationships
WO2012028952A2 (en) * 2010-08-31 2012-03-08 France Telecom Relationship management system and method of operation thereof
US10120877B2 (en) * 2011-09-15 2018-11-06 Stephan HEATH Broad and alternative category clustering of the same, similar or different categories in social/geo/promo link promotional data sets for end user display of interactive ad links, coupons, mobile coupons, promotions and sale of products, goods and services integrated with 3D spatial geomapping and mobile mapping and social networking
US10217117B2 (en) * 2011-09-15 2019-02-26 Stephan HEATH System and method for social networking interactions using online consumer browsing behavior, buying patterns, advertisements and affiliate advertising, for promotions, online coupons, mobile services, products, goods and services, entertainment and auctions, with geospatial mapping technology
US9143601B2 (en) * 2011-11-09 2015-09-22 Microsoft Technology Licensing, Llc Event-based media grouping, playback, and sharing
US9582681B2 (en) * 2012-04-27 2017-02-28 Nokia Technologies Oy Method and apparatus for privacy protection in images
US20130332857A1 (en) * 2012-06-08 2013-12-12 Samsung Electronics Co., Ltd. Photo edit history shared across users in cloud system
US20130332168A1 (en) * 2012-06-08 2013-12-12 Samsung Electronics Co., Ltd. Voice activated search and control for applications
US20150161632A1 (en) * 2012-06-15 2015-06-11 Anthony W. Humay Intelligent social polling platform
US20130339091A1 (en) * 2012-06-15 2013-12-19 Anthony W. Humay Intelligent social polling platform
JP2014078910A (en) * 2012-10-12 2014-05-01 Sony Corp Image processing apparatus, image processing system, image processing method, and program
US8887071B2 (en) * 2012-12-07 2014-11-11 Eric Yang Collaborative information sharing system
US20140237612A1 (en) * 2013-02-20 2014-08-21 Avaya Inc. Privacy setting implementation in a co-browsing environment
US9100694B1 (en) * 2013-03-14 2015-08-04 Google Inc. TV mode change in accordance with number of viewers present
CA2897539C (en) * 2013-04-04 2016-05-17 James S. RAND Unified communications system and method
US9483624B2 (en) * 2013-08-07 2016-11-01 Google Technology Holdings LLC Method and apparatus for configuring privacy settings for publishing electronic images
US20150319141A1 (en) * 2014-04-30 2015-11-05 Frankly Co. Unsend feature in messaging applications
US20150326522A1 (en) * 2014-05-06 2015-11-12 Shirong Wang System and Methods for Event-Defined and User Controlled Interaction Channel
US10250799B2 (en) * 2014-05-21 2019-04-02 Google Technology Holdings LLC Enhanced image capture
US10291737B2 (en) * 2014-08-08 2019-05-14 Facebook, Inc. Identifying and caching content for offline use
US20160162845A1 (en) * 2014-12-09 2016-06-09 Scapegoat, LLC Systems, devices, and methods of providing and subscribing to calendar information

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1311124A1 (en) * 2001-11-13 2003-05-14 Matsushita Electric Industrial Co., Ltd. Selective protection method for images transmission
US20080134294A1 (en) * 2006-11-30 2008-06-05 Microsoft Corporation Personal Site Privacy Policy
US20090207269A1 (en) * 2008-02-15 2009-08-20 Sony Corporation Image processing device, camera device, communication system, image processing method, and program
US20100318571A1 (en) * 2009-06-16 2010-12-16 Leah Pearlman Selective Content Accessibility in a Social Network
US20110321132A1 (en) * 2010-06-25 2011-12-29 Slingerland Florin Van System, method, and policy engine for granting temporary access to electronic content
WO2012035149A1 (en) * 2010-09-16 2012-03-22 Connected Zinking S.L. Social discovery network system and method based on mobile positioning

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
ACQUISTI, ALESSANDRO ET AL.: "Faces of Facebook: Privacy in the Age of Augmented Reality", BLACK HAT WEBCAST SERIES, 19 January 2012 (2012-01-19), Retrieved from the Internet <URL:http://www.biackhat.com/htmi/webcast/webcast-2012-facesoffacebook.htmi> [retrieved on 20130715] *
ANDRADE, NORBERTO NUNO GOMES DE ET AL.: "All the better to see you with, my dear", FACIAL RECOGNITION AND PRIVACY IN ONLINE SOCIAL NETWORKS., vol. 3, no. 3, May 2013 (2013-05-01), pages 21 - 28 *
AUSLOOS: "Jef. The 'Right to Be Forgotten' - Worth Remembering?.", COMPUTER LAW & SECURITY REVIEW, vol. 28, no. ISS. 2, April 2012 (2012-04-01), pages 143 - 152, Retrieved from the Internet <URL:http://ssrn.com/abstract=1970392> [retrieved on 20130715] *
CAMPISI, PATRIZIO ET AL.: "Privacy protection in social media networks a dream that can be true?", PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP'09), 2009, PISCATAWAY, NJ, USA, pages 254 - 258 *

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2871592A1 (en) * 2013-11-06 2015-05-13 Canon Kabushiki Kaisha Information processing apparatus, control method therefor and system
JP2015111406A (en) * 2013-11-06 2015-06-18 キヤノン株式会社 Information processing device, control method thereof, system, program, and storage medium
US9864869B2 (en) 2013-11-06 2018-01-09 Canon Kabushiki Kaisha Information processing apparatus configured to control access to content, control method therefor and system
EP2902941A1 (en) * 2014-01-29 2015-08-05 Sony Corporation System and method for visually distinguishing faces in a digital image
US9177194B2 (en) 2014-01-29 2015-11-03 Sony Corporation System and method for visually distinguishing faces in a digital image
JPWO2015136796A1 (en) * 2014-03-10 2017-04-06 ソニー株式会社 Information processing apparatus, storage medium, and control method
EP3119075A4 (en) * 2014-03-10 2017-11-15 Sony Corporation Information processing apparatus, storage medium and control method
DE102015103121A1 (en) 2015-03-04 2016-09-08 Omid SULTANI METHOD AND SYSTEM FOR COMPUTER-BASED SAFE COMMUNICATION BETWEEN DATA PROCESSING UNITS
US9521135B2 (en) 2015-03-04 2016-12-13 Omid SULTANI Method and system for a computer-based, secured communication between data processing units
CN107911563A (en) * 2017-12-28 2018-04-13 维沃移动通信有限公司 A kind of image processing method and mobile terminal

Also Published As

Publication number Publication date
US9582681B2 (en) 2017-02-28
US20150113661A1 (en) 2015-04-23

Similar Documents

Publication Publication Date Title
US9582681B2 (en) Method and apparatus for privacy protection in images
CN111917563B (en) Routing rule configuration method and communication device
JP2023520478A (en) Configuration information transmission method and device, communication device and storage medium
JP7520163B2 (en) Information transmission method, device, communication device, and storage medium
WO2021159254A1 (en) Dci transmission method and apparatus, and communication device and storage medium
CN112514520A (en) Method and device for reselecting relay UE, communication equipment and storage medium
US20210153165A1 (en) Data transmission method and device, user equipment, and base station
WO2021169698A1 (en) Connection management method and related device
CN113038627B (en) File sharing method, mobile device and computer storage medium
CN113179374A (en) Image processing method, mobile terminal and storage medium
CN106611402A (en) Image processing method and device
CN114097275A (en) Cell reselection method, device, communication equipment and storage medium
US20140146192A1 (en) Acoustic configuration of a wireless camera
WO2019090723A1 (en) Data transmission method and device
EP3721609B1 (en) Communicating using media content
CN111294229B (en) Port configuration method and device
CN112640559A (en) Wireless transmission method, device, communication equipment and storage medium
CN113383596A (en) Method and device for determining network allocation vector and storage medium
CN110945828A (en) Signal processing method and device, communication equipment and storage medium
KR101842981B1 (en) Method and apparatus to assist network traffic
US8937638B2 (en) Method and apparatus for tracking active subject in video call service
WO2024092477A1 (en) Method and apparatus for indicating information of antenna port, communication device, and storage medium
WO2022032541A1 (en) Access control method and apparatus, communication device, and storage medium
EP4307762A1 (en) Method for transmitting packet in wireless local area network and electronic device
WO2021163925A1 (en) Data transmission method and apparatus, and communication device and storage medium

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 13780697

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 14396209

Country of ref document: US

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 13780697

Country of ref document: EP

Kind code of ref document: A1