WO2019021216A1

WO2019021216A1 - System and method for distributing media

Info

Publication number: WO2019021216A1
Application number: PCT/IB2018/055557
Authority: WO
Inventors: Niv HANIGAL; Shai BEN-TOVIM
Original assignee: Caazam Inc.
Priority date: 2017-07-27
Filing date: 2018-07-25
Publication date: 2019-01-31

Abstract

The claimed subject matter discloses a system and a method of instantly distributing media using a computerized server, comprising receiving a media file from an account registered into the computerized server, applying a face recognition algorithm on the received media, identifying a person associated with a user of the server in the received media file according to the face recognition algorithm, detecting properties in the received media file according to settings inputted by the user associated with the identified person, and transmitting the media file to an account or device defined by the user associated with the person identified in the received media file in case the properties match the user's settings.

Description

SYSTEM AND METHOD FOR DISTRIBUTING MEDIA

FIELD OF THE INVENTION

[001 ] The present disclosure generally relates to distribution of media, including images and videos to electronic devices, and more particularly relates to distribution of media files according to face recognition algorithms applied on the media.

BACKGROUND OF THE INVENTION

[002] Digital media, especially videos and images, take an increasing role in human's lives, either in leisure, business, family life and many other fields. The media is stored as files in our smartphones, image storage accounts such as Google's Photos, online storage accounts such as Amazon Web server and social accounts such as Facebook and Instagram. Many times users capture images and video during a meeting, an event or simply in order to capture a moment, and move on with their lives without ever sending the media to other participants in the media, or to persons associated with the media, such as a child's parents, in case the child appears in the media.

[003] Some media distribution services offered to the public are focused on media creators, such as photographers in social events, enabling the photographers to automatically distribute the media from the social event to the persons appearing in the media using face recognition algorithms. The media file is processed by the face recognition algorithms, compared to media inputted by the users who wish to receive media from the social event, and sends the media to the relevant users. In many cases, the users are practically the photographers' subscribers, enlisted to the stream of media outputted by and controlled by the photographer. The users receive a watermarked version of the image, and if they wish, they purchase the media file and the media file is downloaded to the user's accounts.

[004] Some media distribution services offered to the public enable users to automatically distribute media to the persons appearing in the media using face recognition algorithms. However, these services fail to distribute media to users associated with the media such as a child's parents where the child appears in the media but the parent isn't.

[005] Known media distribution services fail to provide the captured media to the relevant users in real time, within a few seconds after capturing the media. There is a need for the real time service, as users of social networks and advanced web and mobile solutions are regular to complete the task within seconds, as completion may be to upload the media to a social media account. [006] In cases where people require to appear in media they wish to access in real time to complete a task such as uploading to a social media account, they can capture and distribute to themselves (i.e. selfie) but this severely constraints the types of media that can be created with regards to composition, timing and content.

[007] In other cases where people wish to appear in the media they can ask another person to capture the media, and give possession on the electrical device to a stranger who happens to be in the same place, thus trusting a stranger and risk their device and security.

SUMMARY OF THE INVENTION

[008] It is an object of the subject matter to disclose a method of distributing media using a computerized server, comprising receiving a media file from an account registered into the computerized server, applying a face recognition algorithm on the received media, identifying a person associated with a user of the server in the received media file according to the face recognition algorithm, detecting properties in the received media file according to settings inputted by the user associated with the identified person and transmitting the media file to an account or device defined by the user associated with the person identified in the received media file in case the properties match the user's settings.

[009] In some cases, the method further comprising determining a match between the detected properties in the received media file and the settings inputted by the user associated with the person identified in the received media file. In some cases, the properties in the media file comprise identifying additional persons in the media file and comparing the identified additional persons to settings inputted by the user. In some cases, the media file properties comprise identifying environmental properties in the media file. In some cases, the environmental properties comprise amount of light in the media file and presence of predefined objects in the media file. In some cases, the media file properties comprise angle from which the user appears in the received media file. In some cases, the media file properties comprise camera type of the camera used to capture the received media file, said camera type is inputted by a device used to send the received media file.

[010] In some cases, the method further comprises receiving information about the user when registering into the server and correlating the information received from multiple users to prioritize users' identification in the received media file. In some cases, the method further comprises receiving location data of users registered to the computerized server and applying the face recognition algorithm on users located within a predefined distance from the device from which the media file was received at the computerized server. In some cases, transmitting the media file to an account or device defined by the user associated with the person identified in the received media file in case the properties match the user's settings within 3 seconds from receiving the media file in the computerized server. In some cases, the method further comprises sending the media file to a secondary storage, registering a new user in the computerized server, identifying the new user in a prior media file stored in the secondary storage prior to the registration of the new user, and sending the prior media file to an account associated with the new user. In some cases, the method further comprises deleting media from the secondary storage a predefined duration after received at the server. In some cases, the method further comprises receiving initiation images from the user when registering into the computerized server, extracting visual characteristics from the received initiation images and generating visual properties to be detected in the received media file in case a person associated with the user is identified in the media file using the visual characteristics.

BRIEF DESCRIPTION OF THE DRAWINGS

[Oi l] The invention may be more clearly understood upon reading of the following detailed description of non-limiting exemplary embodiments thereof, with reference to the following drawings, in which:

[012] FIG. 1 discloses a network of cameras connected to the system of distributing media, according to exemplary embodiments of the subject matter;

[013] FIG. 2 discloses a schematic block diagram of the system of distributing media, according to exemplary embodiments of the subject matter;

[014] FIG. 3 discloses a schematic user profile in the system of distributing media, according to exemplary embodiments of the subject matter;

[015] FIG. 4 discloses a method of distributing media, according to exemplary embodiments of the subject matter;

[016] FIG. 5 discloses a method of prioritizing users to be compared to a media file received at the server, according to exemplary embodiments of the subject matter; and,

[017] Figure 6 discloses a method of adding a new user to the server, according to exemplary embodiments of the subject matter.

[018] The following detailed description of embodiments of the invention refers to the accompanying drawings referred to above. Dimensions of components and features shown in the figures are chosen for convenience or clarity of presentation and are not necessarily shown to scale. Wherever possible, the same reference numbers will be used throughout the drawings and the following description to refer to the same and like parts.

DETAILED DESCRIPTION OF THE INVENTION

[019] Illustrative embodiments of the invention are described below. In the interest of clarity, not all features/components of an actual implementation are necessarily described.

[020] The present invention discloses a computerized system and method for distributing media. The system and method enable users who appear in the media to control which media they appear in will be instantly sent to their accounts according to predefined settings inputted by the users. The system also enables users to input settings in which they receive images in which someone else appears, for example users' children, pets and the like. Thus, users improve their customer's experience and reduce the amount of time required to automatically receive a media file after the media file was captured.

[021] The media may be captured by cameras associated with persons, for example professional photographers, or amateur users using their smartphones during a social event such as a wedding. The cameras may be associated with drones, and may be cameras fixed to a certain item, such as a ceiling in a stadium entrance or an amusement park attraction or randomly on the street. The cameras are connected to the system via the internet or a local network such as a local access network (LAN), WAN and the like. The system applies a face recognition algorithm on all the received media. The output of the face recognition algorithm whether or not any users of the system appear in the media file, and the user's identifiers. Then, the system compares properties of the media file to settings inputted by the users associated with persons appearing in the media fileto verify that the users associated with persons appearing in the media fileare interested in receiving the media file. A single user may be associated with multiple persons, and receive a media file when at least one of the multiple persons appear in the media file. The user needs to define the additional persons in order to receive images they appear in. If there is a match between the settings and the media fileproperties, the system sends the media fileto the account of the user appearing in the received media file. The term "account" may be defined as a folder accessible to the user via a dedicated application or via a browser. The term "account" also applies in the case where a person registers temporarily to the system for distributing media, and asks to receive images under certain rules into his cellular phone, for example as SMS or WhatsApp messages.

[022] FIG. 1 discloses a network of cameras connected to the system of distributing media, according to exemplary embodiments of the subject matter. The system for distributing media 100 receives media from multiple electrical devices via a communication network, either wireless network, wired or a combination thereof. The multiple electrical devices may be online cameras, tablet computers, laptop computers, cellular phones and the like. The system for distributing media 100 receives the media, processes the media, and sends the media to one or more electrical devices according to face recognition algorithms and settings stored in the system for distributing media 100.

[023] The system for distributing media 100 may receive media from electrical devices located in a plurality of areas, for example different devices in different countries. In a given time, the system for distributing media 100 may communicate with three (3) users located in Area "A". The three users are registered in the system for distributing media 100 in order to send media and/or receive media. When a user uploads media to the system for distributing media 100, the user may login into her account in the system for distributing media 100, for example via a browser, a dedicated application running on the user's device and the like. In other cases, the user may use the system for distributing media 100 ad-hoc, inserting an image to be identified and an address for receiving the media, such as a cellular phone number. For example, user 125 uses device 130, for example a smartphone used by the user 125 to capture media in an event. The media captured by the device 130 are sent from the device 130 to the system for distributing media 100. In an exemplary embodiment, the media are processed by the system for distributing media 100 and are sent to accounts associated with users 122 and 120. The users 120, 122 may access the media sent from the system for distributing media 100 as stored in the user' s devices or by entering their accounts, either via a smartphone, laptop, tablet and any other electrical device. In an exemplary case, the user 125 uploaded 77 images to the system for distributing media 100, which identified user 120 in 12 images and user 122 in 15 images. The images in which the users 122 and 125 appear are then processed to find a match between the settings inputted by the users 122, 125 and the images' properties, before sending the images to the accounts of the users 122, 125, as elaborated below. In an exemplary case, the settings inputted by the user 120 matched only 3 images of the 12 images the user 120 appeared in, and the system for distributing media 100 sends these 3 images to the account associated with the user 120.

[024] In another Area "B", a single user 140 having device 145 communicates with the system for distributing media 100. For example, the user 140 participated in the event held in the area "A" with users 120, 122 and 125 and went to another place. The user 140 may receive images from the system for distributing media 100 in the other place as the additional persons the user 140 defined in the system for distributing media 100 were identified in the media received from the device 130. The same media files may also be distributed by the system for distributing media 100 to users 122 and 130, and to user 150 located in Area "C". The user 145 may access the system for distributing media 100 using multiple devices, for example using a laptop 155 and smartphone 152. For example, the user 145 may upload media to the system for distributing media 100 from the smartphone 152 and access media received from the system for distributing media 100 in both the smartphone 152 and the laptop 155. The system for distributing media 100 may receive media from cameras not associated with persons, such as fixed cameras 160 located in buildings, streets, roads and the like, as well as cameras affixed to mobile objects, such as vehicles, drones, trains, boats, animals and the like.

[025] FIG. 2 discloses a schematic block diagram of the system of distributing media, according to exemplary embodiments of the subject matter. The system for distributing media 200 comprises a communication module 260 configured to receive media from electrical devices used by users of the system 200. The communication module 260 may use an internet gateway to receive media. The communication module is also configured to send media to accounts of users according to commands from a processing module 270 of the system 200. The processing module 270 may use a predefined set of rules stored in a memory module of the system 200, for example via software, hardware, firmware and a combination thereof.

[026] The media received via the communication module 260 are stored in a media storage

210. The media storage 210 may be an online storage service such as Amazon Web service, google drive and the like. The media storage 210 may be a dedicated server, using volatile or non- volatile memory. The media storage 210 may also store media metadata, such as location in which the media was captured, identifier of the user that uploaded the media, upload date, size, number of persons in the media and the like. Media may be deleted from the media storage 210 in case the media do not match settings which result in sending the media to any user of the system. The media from the media storage 210 are sent as input to a face recognition engine 220. The face recognition engine 220 may use a face recognition engine desired by a person skilled in the art, such as Microsoft Azure Cognitive Services and Amazon Rekognition. The face recognition engine 220 outputs one or more identifiers of users identified in a media file. The face recognition engine 220 may process each media file separately.

[027] The system 200 further comprises a users' setting storage 230 configured to store settings inputted by some users of the system. Such settings relate to properties of the media file, either media file metadata or data in the media file. For example, users may input metadata settings such as to send only media captured on week days to the users' accounts, or only media in 4K resolution. Content settings may be "send the media file only if it contains a single person", "send the media file only if my face consumes less than 25 percent of the media file", "send a media file only if taken outdoor" and the like. The system 200 also comprises a user interface 240 used by users of the system 200 to input the settings. Such user interface 240 may operate by computerized software operating on the system 200. The user interface 240 may comprise structured menus in which the users may select one or more options from a closed list of options. In some other cases, the menu may be unstructured, enabling the users to input free text via the users' keywords into the system. In some cases, the user interface 240 is configured to receive initiation images from the user, for example when registering into the computerized server. Then, the computerized server extract visual characteristics from the received initiation images and generate visual characteristics from the initiation image. The visual properties may then be detected in the received media file in case a person associated with the user is identified in the media file using the visual characteristics. For example, the user may upload an image containing the user and another person. The computerized server will convert the image into a rule associated with the user. For example, the rule may dictate sending the user media containing the user and the other person. In some cases, the computerized server may display the rule as an option and receive the user's consent before adding the rule into the server. The processing module 270 may process the free text and convert the free text into rules applied by the system 200 to process the received media in case the user associated with the free text was identified in the media file by the face recognition engine 220. The user interface 240 enables a single user to select whether he/she wish to act as contributor and/or a consumer and either upload media to the system 200 as contributor and/or receive media as consumer. The user, acting as consumer, may adjust his/her settings on the users' settings storage 230 via the user interface 240.

[028] The system 200 may also comprise a users' statistics storage 250 configured to store statistics associated with users. Such statistics may be number of media the user uploaded, number of reactions to the media uploaded by the user, number of media the user received, trends in the number of media uploaded by or received by the user, financial transactions made by the user when receiving or sending media, and the like.

[029] FIG. 3 discloses a schematic user profile in the system of distributing media, according to exemplary embodiments of the subject matter. The user's profile may be stored in the system's user's statistics storage disclosed above. The user's profile may also be stored in a client side displayed when the user accesses her account, for example via a cellular phone, tablet computer, personal computer and the like. The user's profile is updated by the system according to actions performed by the user, for example uploading media to the system and reacting to media received from the system. The user's profile may also be updated in response to actions performed automatically by the system, for example identifying other users in media uploaded by the user, and sending the media to the identified users.

[030] The user's profile comprises a contributor section 310 in which the user acts as a contributor to the system, mainly by uploading media to the system. The media may be captured by the user or received by the user, after being captured by devices associated with other users. The contributor section 310 may display the number of media uploaded by the user, percentages of media downloaded to other users out of the media uploaded by the user, number of users who received the media uploaded by the user, number of reactions to the media uploaded by the user and the like. The percentage may be calculated by the following formula - Number of media sent to other users divided by the total number of media uploaded by the user.

[031] The user's profile comprises a consumer section 320 in which the user acts as a consumer to the system, mainly by receiving media from other users who uploaded media to the system, the consumer section 320 may comprise the number of media received by the user, the percentages of media the user did not pay for (free media) out of the total number of media received by the user, number of contributors who uploaded the media sent to the user and additional properties desired by the person skilled in the art. The user's client side may enable switching from a display of the consumer section 320 to the display of the contributor section 310 and vice versa. The user's client side may comprise a virtual button 330 suggesting the user to upload media to the system.

[032] FIG. 4 discloses a method of distributing media, according to exemplary embodiments of the subject matter. Step 410 discloses receiving a stream of media from a device registered in the system. The device may be a mobile electronic device associated with a user of the system or a camera fixed to another device. The captured image file is uploaded automatically to the computerized server. The media may be stored in the user's device, in a web server configured to store media or in any device or online folder accessible to the user. The stream of media are uploaded to an online server where they are stored along with metadata such as the user who uploaded the media, media filesize, upload date and the like.

[033] Step 420 discloses updating the contributor's profile with the number of media uploaded. The system stores the number of media uploaded by the user prior to the last batch and simply adds the amount of media uploaded in the last batch to the number of media previously stored in the user's profile database.

[034] Step 430 discloses applying face recognition algorithms on the received media. The face recognition algorithms may be applied by comparing face or face characteristics of users registered to the system with the uploaded media file. In some exemplary case, the face recognition algorithms are applied to a single user on a single media file. The face recognition algorithms receive the order of users compared to a specific media filefrom the processor of the system according to the method elaborated in figure 5. As the system has many users registered thereto, the order of users compared to a given media file affects the time required for distributing the media file to the relevant users, as most users registered to the system are not relevant to a specific media file. The face recognition algorithms may be desired by a person of skilled in the art. An example of such face recognition algorithms may be Microsoft Azure Cognitive Services and Amazon Rekognition. In some exemplary cases, the face recognition algorithms are used on multiple media concurrently using multiple engines, or using parallel computation architecture.

[035] Step 440 discloses identifying users in the received media file or persons associated with the registered users, such as the users' children. Identification of the user is the output of the face recognition algorithms applied in step 430. The face recognition algorithms receive as input face characteristics of a certain user and output a value indicating whether or not the specific user appears in a given media file. The face recognition algorithms may output a probability score that the specific user appears in the media file, and the processing module of the system will determine whether or not to send the media file to the specific user. In some exemplary cases, more than one user is identified in a given media fileuploaded to the system. In some cases, the system only identifies users registered to the system. In some exemplary cases, only a limited set of users from the total number of users in the system are defined as potential candidates to appear in the media file. For example, users who were located in the same place from which the image was sent in the specific time the image was sent to the system. As the phase of identifying the persons in the media file is configured to occur within a few seconds from the capture of the image, persons which are known to be close to the device from which the image was captured are the first level candidates. In addition, the system may define peripheral persons associated with the user who is associated with the device from which the media file was sent, for example the user's contact list, social network contacts, persons who appeared in prior media files and the like. The system may input the peripheral persons into the face recognition algorithm in case the persons appearing in the image were not found according to the persons' location, as defined above.

[036] Step 450 discloses detecting properties in the received media according to settings inputted by the identified users. The settings may be inputted by the users when registering to the system. The settings may be updated by the users using the user interface described above. The settings may be selected from a closed list suggested by the system or inputted as free text by the users. Examples of such settings may be "send me amedia file only if containing less than four persons", "send me amedia file only if taken during with daylight", "send me a media file only of there is a vehicle in the media file" and the like. The system detects the properties inputted by the system, for example using computerized algorithms of object recognition, feature recognition and the like.

[037] Step 460 discloses transmitting media to users' accounts of users associated with persons appearing in the received media in case the properties match the user's settings. As mentioned above, a user may define more than one person to be associated with and receive media files in which the persons appear. Transmission of the media file may be performed using an email server or any type of messaging server. The media may be sent to the user's account, and downloaded when the user accesses her account. In some cases, the media may be sent as mobile notifications associated with a mobile application installed on the user's mobile electronic devices, such as tablets and cellular phones. In some exemplary cases, the system sends a link to an online folder, for example in "Google drive" storing the media, and the user can choose which media to download from the online folder.

[038] Step 470 discloses updating users' profile of the contributor and the consumer according to the transmitted media. The consumer's profile will be updated according to the number of media the consumer received. The contributor may be updated with the number of consumers who received the media uploaded by the contributor, number of media received by the consumers and the like.

[039] FIG. 5 discloses a method of prioritizing users to be compared to a media file received at the server, according to exemplary embodiments of the subj ect matter. Step 510 discloses receiving users' metadata when users register into the server. Such metadata may be the user's personal information such as age, gender, place of residence, occupation and the like. The user's metadata may be extracted from the user's contact list in the user's cellular phone, or from the user's contact in a social network such as Facebook, Linkedln and others. The metadata is stored in the system database. [040] Step 520 discloses receiving stream of media and metadata associated with media in the stream. The stream of media may contain one or more media. The metadata may be determined by the device from which the stream of media are uploaded, for example filename of the media file, file size, date of capturing the media file, location of capturing the media file and the like. The metadata may be determined by the system, for example number of persons in the media file, identification of objects in the media file such as trees, food items, brand names and the like.

[041] Step 530 discloses correlating users' metadata with media file metadata. For example, correlating the user's location when the image was captured. The user's metadata may be a social network information, for example contacts, of the user. The correlation may indicate that the user who contributed the media file is a social network contact of another user registered in the system. The User's metadata may also include user's behavior which indicates probability to appear in a given media file. Such behavior is based on user's history, for example characteristics of media previously downloaded by the user.

[042] Step 540 discloses calculating a relevance value to multiple users per media in the received stream of media. The relevance value may consider whether a user of the multiple users is listed in the contact list of the media file contributor, which users live or work near the location of capturing the media file and the like. The system may provide a relevance value only to a portion of the users registered to the system, as most users are not relevant to the media file at all. The process of calculating a relevance value to multiple users may be performed for each media file uploaded to the system. In some cases, the contributor may indicate one or more users appearing in the media file. In case the media file is a video file, calculating the relevance value may comprise a predefined set of rules using the contributor' s contact list and additional rules configured to distinguish relevant persons in the video from irrelevant persons in the video. For example, by accumulating the time in which persons appear in the video. In a 10 seconds video, only persons that appear more than 5 seconds may be defined as relevant and will be compared to users registered in the system or people associated with the users.

[043] Step 550 discloses applying face recognition algorithm on users in the order of the relevance value. For example, the system calculates 12 users which may be relevant to a media file according to their metadata correlated with the image metadata. The face characteristics of the 12 users inputted into the engines applying the face recognition algorithm for a given image. The output is whether or not a specific user of the 12 users appears in the given image. The engines applying the face recognition algorithm may compare the 12 users in the order of the relevance value calculated above, from the highest relevance value to the lowest.

[044] Figure 6 discloses a method of adding a new user to the server, according to exemplary embodiments of the subject matter.

[045] Step 610 discloses registering a new user into the system. The new user is defined as a user registered to the system after the system already received media uploaded from other users. The new user registers to the system with a username, password and uploads at least one personal image with the user's face. The system may extract face characteristics of the new user, for example ratio between length and width, eyes color, hair color, hair length, eyes' shape and the like. When the new user registers to the system, the new user may input metadata such as contacts list, place of residence and the like.

[046] Step 620 discloses applying face recognition algorithms on the media in a secondary database for the new user. The secondary database comprises media previously uploaded to the system, after the system applied the face recognition algorithms on the users registered to the system at the time of the upload. For example, on a given day the system has 750 registered users and receives 12 images. After trying to identify users of the 750 users in the 12 images, the 12 images may be sent to the secondary database, or be deleted from the system. Then, for example a week after the 12 images were downloaded, a new user registers to the system. The system then tries to identify the new user in the 12 images stored in the secondary database. The new user is treated as other users regarding media uploaded to the system after the new user registers to the system.

[047] Step 630 discloses identifying the new user in media stored in the secondary database.

Identification of the new user is the output of the face recognition algorithms applied on the media in the secondary database. The user may be identified in a range of zero media to all media in the secondary database.

[048] Step 640 discloses detecting properties in the media stored in the secondary database according to settings inputted by the new user. After detecting that the new user appears in one or more media in the secondary database, the system verifies that the new user wishes to receive the media in which she appears. For example, the new user may input a rule that she does not want to receive media taken more than 1 month prior to registration, media with a swimsuit, or media with cats. In case there is a match between the settings inputted by the user match properties detected by the system, the system transmits the media that match the new user's settings to the new user's account, as disclosed in step 650.

[049] While the disclosure has been described with reference to exemplary embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In addition, many modifications may be made to adapt a particular situation or material to the teachings without departing from the essential scope thereof. Therefore, it is intended that the disclosed subject matter not be limited to the particular embodiment disclosed as the best mode contemplated for carrying out this invention, but only by the claims that follow.

Claims

Claims:

1. A method of distributing media using a computerized server, comprising:

receiving a media file from a device registered into the computerized server;

applying a face recognition algorithm on the received media;

identifying a person associated with a user of the server in the received media file according to the face recognition algorithm;

detecting properties in the received media file according to settings inputted by the user associated with the identified person;

transmitting the media file to an account or device defined by the user associated with the person identified in the received media file in case the properties match the user's settings.

2. The method according to claim 1, further comprising determining a match between the detected properties in the received media file and the settings inputted by the user associated with the person identified in the received media file.

3. The method according to claim 1 , wherein the properties in the media file comprise identifying additional persons in the media file and comparing the identified additional persons to settings inputted by the user.

4. The method according to claim 1, wherein the media file properties comprise identifying environmental properties in the media file.

5. The method according to claim 4, wherein the environmental properties comprise amount of light in the media file and presence of predefined objects in the media file.

6. The method according to claim 1, wherein the media file properties comprise angle from which the user appears in the received media file.

7. The method according to claim 1, wherein the media file properties comprise camera type of the camera used to capture the received media file, said camera type is inputted by a device used to send the received media file.

8. The method according to claim 1, further comprises receiving information about the user when registering into the server and correlating the information received from multiple users to prioritize users' identification in the received media file.

9. The method according to claim 1 , further comprises receiving location data of users registered to the computerized server and applying the face recognition algorithm on users located within a predefined distance from the device from which the media file was received at the computerized server.

10. The method according to claim 1 , wherein transmitting the media file to an account or device defined by the user associated with the person identified in the received media file in case the properties match the user's settings within 15 seconds from receiving the media file in the computerized server.

11. The method according to claim 1, further comprises sending the media file to a secondary storage, registering a new user in the computerized server, identifying the new user in a prior media file stored in the secondary storage prior to the registration of the new user, and sending the prior media file to an account associated with the new user.

12. The method according to claim 11, further comprises deleting media from the secondary storage a predefined duration after received at the server.

13. The method according to claim 1 , further comprises receiving initiation images from the user when registering into the computerized server, extracting visual characteristics from the received initiation images and generating visual characteristics to be detected in the received media file in case a person associated with the user is identified in the media file using the visual characteristics.