WO2023285651A1 - Dispositif de surveillance et procédé de surveillance - Google Patents

Dispositif de surveillance et procédé de surveillance Download PDF

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Publication number
WO2023285651A1
WO2023285651A1 PCT/EP2022/069850 EP2022069850W WO2023285651A1 WO 2023285651 A1 WO2023285651 A1 WO 2023285651A1 EP 2022069850 W EP2022069850 W EP 2022069850W WO 2023285651 A1 WO2023285651 A1 WO 2023285651A1
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WO
WIPO (PCT)
Prior art keywords
image data
designed
unit
interest
areas
Prior art date
Application number
PCT/EP2022/069850
Other languages
German (de)
English (en)
Inventor
Christoph BURGER-SCHEIDLIN
Original Assignee
Robert Bosch Gmbh
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 Robert Bosch Gmbh filed Critical Robert Bosch Gmbh
Publication of WO2023285651A1 publication Critical patent/WO2023285651A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
    • H04N19/154—Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
    • H04N19/167—Position within a video image, e.g. region of interest [ROI]

Definitions

  • the invention relates to a surveillance arrangement with a central module and at least one client module, image data being provided to the client module.
  • Camera-based surveillance is used in the public, private and commercial sectors.
  • the images and/or videos recorded by the cameras are usually sent to a control center for storage and/or evaluation.
  • the quality of the recorded images and/or videos is often very good, for example 4K, so that their transmission to the control center means a large data stream.
  • the publication DE 102018219067 A1 describes a method for the local composition of personal, distributed user data.
  • a central access server is provided, which serves as an access node for a client computer for the central coordination of access.
  • the invention relates to a monitoring arrangement having the features of claim 1.
  • the invention also relates to a method for monitoring, a computer program and a storage medium. Preferred and/or advantageous Embodiments result from the dependent claims, the description and the accompanying figures.
  • the invention relates to a monitoring arrangement.
  • the monitoring arrangement comprises a central module and at least one client module, preferably a plurality of client modules, for example more than ten.
  • the central module can be designed, for example, as a computer, calculator, server or a cloud.
  • the client modules are preferably arranged in a decentralized manner, for example within a surveillance area.
  • the monitoring arrangement is preferably designed to monitor the monitored area.
  • Image data is provided to the client module.
  • the image data can form and/or include images, individual images or videos.
  • the client modules are connected to a camera in terms of data technology or are part of a camera.
  • the image data is preferably of high quality, for example 4K or HD.
  • the client module has an analysis unit and a processing unit.
  • the processing unit and analysis unit can form a common unit.
  • the analysis unit and/or the processing unit are designed in particular as software units, alternatively as hardware units, for example comprising a computer module, processor or a data processing unit.
  • the analysis unit is provided with the image data, in particular unprocessed, uncompressed and/or in full quality.
  • the analysis unit is designed to detect and/or determine areas of interest in the image data.
  • the analysis unit evaluates the image data for this purpose, for example using image evaluation algorithms and/or methods, specifically based on object recognition.
  • the analysis unit is designed to use a neural network and/or machine learning algorithms to determine the areas of interest.
  • Areas of interest are, for example, sections and/or areas of the image data, in particular in images or videos of the image data, which are relevant and/or of particular interest to a user and/or to a task. For example, for a user and/or a Rarely applying the entire image and/or video of interest, for example, the background is often irrelevant.
  • a static image area is of no or less interest to applications and/or a user than certain types of objects, for example moving objects, people, suitcases or weapons.
  • the areas of interest include, show and/or describe areas in the images of the image data and/or the image data in which objects relevant and/or interesting for the user and/or the application can be detected.
  • areas of interest are areas and/or portions in images that show faces, license plates, weapons, or security events.
  • the areas of interest are limited sections and/or areas within an image, a video or a video frame.
  • the analysis unit is designed to determine and/or provide form, position and/or position as additional data for the detected areas of interest.
  • the processing unit is designed to generate compressed image data.
  • the compressed image data is generated based on and/or from the image data.
  • the compressed image data is generated in particular with knowledge and/or with the aid of detected areas of interest.
  • the compressed image data are designed in particular for transmission and/or data transmission.
  • the compressed image data is in particular encoded image data.
  • the image data is encoded and compressed for this purpose.
  • the compression and/or coding takes place in particular with the knowledge and use of detected areas of interest, for example in that the detected areas of interest are compressed and/or coded differently than areas of no interest, in particular the areas of interest and areas of no interest are compressed and/or coded in different quality .
  • the client module includes a deployment unit.
  • the provision unit is designed in particular for the data connection with the central module, for example for the data connection of the client module with the central module, preferably as a wireless connection or as a mixed connection comprising wireless and wired connection sections.
  • the delivery unit is designed to use the compressed image data provide central module.
  • the provision unit can be designed to transmit further coded, compressed and/or packed image data or data based on the image data in addition to the compressed image data.
  • the central module includes a decompression unit.
  • the decompressed unit is designed in particular as a software unit, alternatively as a hardware unit, for example comprising a data processing device, a processor or computer.
  • the decompression unit is designed to determine decompressed image data based on the compressed image data.
  • the compressed image data is decompressed, for example unpacked and decoded.
  • the decompressed image data can in particular be evaluated and/or viewed by a user, for example through visualization on a display or use in further evaluation algorithms.
  • the decompressed image data shows the image sections, which show and/or are assigned areas of interest, in an increased quality and/or in a quality that is at least necessary for further evaluation and/or use. Specifically, non-interest areas may or may not be included in the lower quality decompressed image data.
  • the invention is based on the consideration that for users and/or further evaluations, certain sections of image data must be of higher quality than others, with the transmission of the images with the increased quality in the entire image area being undesirable, since this means the transmission of large amounts of data would.
  • compressed image data which are generated based on the knowledge of the detected areas of interest, relevant areas can be transmitted in a targeted manner with increased quality, while uninteresting areas have a lower quality at the same time.
  • the areas of interest are determined and the compressed image data is generated on the part of the client module.
  • the decoding in turn takes place centrally in the central module, so that the client module and central module are coordinated with one another.
  • a compression application and an associated decompression application are provided and/or can be obtained from a provider module.
  • the provider module is designed as an app store, a database from a manufacturer or a third party.
  • the compression application and associated decompression application are particularly preferably provided as a common application package and/or can be obtained as such.
  • an analysis application can be obtained and/or provided by the provider module, in which case the analysis application can specifically be part of the common application package made up of compression application and decompression application.
  • the analysis application is designed in particular to be executed by the analysis unit.
  • the analysis application is designed, for example, to detect the areas of interest, for example based on different objects, interests, users and/or application information.
  • the processing unit is designed to use, execute and/or install the provided compression application, the compressed image data being generated by executing the compression application and/or using it.
  • the compression application is designed to encode and/or compress the image data to form the compressed image data.
  • the decompression unit is designed to execute, use and/or install the decompression application associated with the compression application for determining the decompressed image data.
  • the monitoring arrangement is designed to use, execute and/or include the respective compression application and associated decompression application.
  • the processing unit is designed to check when obtaining, installing, executing and/or using the compression application, whether the decompression unit uses an associated decompression application, is installed and/or the decompression unit for obtaining, installing, using and/or executing the associated To trigger decompression application and / or to cause this.
  • obtaining and/or installing the compression application or the decompression application through the Client module or central module for installing and/or obtaining the respectively associated decompression application or compression application.
  • a compression application or analysis application is obtained and/or installed by a client module, so that the processing unit or the provider module causes the decompression unit to obtain and/or install the associated decompression application.
  • the central module is designed in particular for the storage of data and/or the central processing and/or evaluation of data, in particular image data.
  • the central module and/or the cloud particularly preferably includes a processor, main memory and/or storage space better and/or larger than the client module.
  • the surveillance arrangement particularly preferably comprises at least one surveillance camera, referred to as a camera for short, specifically a plurality of surveillance cameras.
  • the number of surveillance cameras particularly preferably corresponds to the number of client modules.
  • the surveillance camera is preferably designed as a color camera, specifically as a 4K and/or HD camera.
  • the surveillance camera is designed to record and/or provide the image data. It is particularly preferred that the surveillance camera includes the client module and/or the client module is designed as a surveillance camera.
  • the client module is connected to the surveillance camera in terms of data technology.
  • each client module is connected to a surveillance camera in terms of data technology; alternatively, a client module is connected to a plurality of surveillance cameras to provide a plurality of image data.
  • This design lies based on the idea of carrying out the determination of the areas of interest and the generation of the compressed image data in a decentralized manner, in particular within the camera and/or in a direct data connection to the surveillance camera.
  • the surveillance camera can be modified for a respective user and/or application by obtaining compression applications and/or analysis applications from a provider module.
  • the compressed image data include the areas of interest of the image data and/or areas of the image data or the images of the image data that belong to the areas of interest in a higher quality than sections and/or areas that do not form any areas of interest.
  • the higher quality is selected in such a way that it is sufficient for the respective user and/or the respective application, for example unreduced and/or form 4K or HD image sections.
  • the areas of non-interest can in particular be included with a reduced quality and/or a quality equal to zero, with quality equal to zero corresponding to non-transmission and/or not including the areas of non-interest.
  • the non-interest areas can and/or are provided to the central module, for example, by a further data set and/or data stream, for example by general compression and/or coding of the image data to transmission image data, which preferably include and/or describe the entire image area of the images with reduced quality.
  • This refinement is based on the consideration of making the areas of interest available to the central module in better quality and thus not transmitting unnecessarily large amounts of data that would be irrelevant for the user or the application.
  • the client module includes an encoding unit.
  • the encoding unit is preferably designed to process the image data into encoding data, for example by general and/or global coding and/or compression of the image data, in particular independently of the areas of interest.
  • the encoding unit is designed to reduce the quality of the image data and/or to increase the data size reduce, for example by compressing and encoding.
  • the provision unit is designed to provide the encoding data to the central module.
  • the central module has a decoding unit and has a superposition unit.
  • the decoding unit is designed, for example, to decode and/or decompress the encoding data.
  • the decoding unit determines and/or ascertains a decoding image based on the encoding data, the decoding image corresponding, for example, to the image of the image data with a lower resolution, quality and/or detail density.
  • the superposition unit is designed to generate a superposition image based on the decoding image and the compressed image data, for example by overlaying the decoding image with the image content of the compressed image data or the areas of interest, which is included in higher quality.
  • the superposition image thus shows sections, areas and/or image content of the areas of interest in higher quality and areas of no interest of the decoding image.
  • the user and/or the application is provided with a superposition image that includes and/or shows the relevant areas in higher quality than the other image areas.
  • the generation of the encoding data, the compressed image data, the decoding image and the superposition image is divided between different modules.
  • the processing unit is designed to determine the compressed image data based on object information of an object in the area of interest.
  • the object information is information that describes the type, type and/or movement options of the associated object.
  • the object is a license plate, the shape and identification of which has already been transmitted in the compressed image data, so that instead of the further transmission of the image content of the area of interest in the compressed image data, a change in view and/or change in movement of the object is transmitted, for example how the view of the known license plate changed and / or transformed. This allows a further reduction in the data stream for transmission of the image data.
  • the provision unit is designed to monitor the data traffic between the client module and the central module, for example the utilization of the data connection.
  • the processing unit is designed to determine the compressed image data based on the determined utilization and/or the data traffic, for example to determine compressed image data comprising a plurality of areas of interest with higher quality when the utilization of the data traffic is low, with compressed image data having less with increased utilization Areas of interest are determined and / or transferred. For example, the processing unit is designed to prioritize areas of interest and/or to create a ranking.
  • the processing unit is designed to subsequently provide areas of interest that have already been transmitted in compressed image data in higher quality, in particular with a minimum quality, wherein the minimum quality is preferably area-of-interest-dependent, with lower quality in the compressed image data.
  • the minimum quality is preferably area-of-interest-dependent, with lower quality in the compressed image data.
  • areas of interest that have already been transmitted in the compressed image data with minimum quality or with all essential and/or required information are then treated as non-interest areas, for example no longer provided with higher quality in the compressed image data.
  • An embodiment of the invention provides that the supply unit is designed to transmit the compressed image data as progressively encoded image data. For example, after a certain amount of compressed image data has been transmitted and/or after the relevant information has been transmitted in the areas of interest, the data to be transmitted are clipped as in the case of progressive encoding.
  • a further subject matter of the invention is a method for transmitting data between a client module and a central module.
  • the image data are provided to a client module and/or the image data are provided, preferably by a camera. Alternatively forms the client module a camera to record the image data.
  • areas of interest are detected in the image data, in particular in the images and/or videos of the image data, preferably based on image analysis and/or object recognition.
  • Compressed image data are determined and/or generated based on the image data and the detected areas of interest and are made available to the central module, in particular transmitted in terms of data technology.
  • decompressed image data are assigned to the compressed image data.
  • the compressed image data is generated by means of a compression application and the decompression and/or determination of the decompressed image data takes place by means of a decompression application associated with the compression application.
  • a further object of the invention is a computer program comprising commands which cause the monitoring arrangement, in particular the central module and/or the client module, to carry out the method for transmitting data between the client module and the central module.
  • the invention relates to a computer-readable medium on which the computer program is stored.
  • FIG. 1 shows an exemplary embodiment of a monitoring arrangement
  • FIG. 2 further exemplary embodiment of a monitoring arrangement with delta encoding
  • FIG. 3 exemplary embodiment of a monitoring arrangement taking data traffic into account.
  • FIG. 1 shows a monitoring arrangement 1.
  • the monitoring arrangement 1 comprises at least one client module 2 and a central module 3.
  • the client module 2 and the central module 3 are connected to one another in terms of data technology. That Central module 3 is arranged, for example, centrally at a manufacturer, security service provider and/or a monitoring center. In particular, the central module 3 forms a cloud.
  • the client module 2 is decentralized, for example arranged in a surveillance area.
  • the surveillance area is video-monitored with video cameras, image data 4 being provided to the client module 2 .
  • the image data 4 are in particular of high quality, for example HD or 4K.
  • the client module 2 comprises an analysis unit 5 and a processing unit 6.
  • the analysis unit 5 is provided with the image data 4, the processing unit 6 also being provided with the image data 4 as well as results and/or data of the analysis unit 5.
  • the transmission of the entire image data 4 to the central module 3 in the high quality would lead to a large amount of data traffic. Frequently, not all areas and/or sections of images are for further processing and/or evaluation.
  • the monitoring arrangement 1 is designed to provide compressed image data to the central module 3 so that only those image areas that are required in this quality are transmitted in high quality.
  • the monitoring arrangement 1 has the advantage that both sides, central module 3 and client module 2, are matched to one another and are therefore compatible at all times in order to generate and decrypt the compressed image data. This is based on the idea of checking both sides, central module 3 and client module 2.
  • Applications can be obtained, in particular acquired, downloaded and/or scaled from a provider module 7 .
  • the provider module 7 is an app store, for example.
  • a compression application 8 a decompression application 9 and an analysis application 10 can be obtained from the provider module 7 .
  • a user is interested in certain image areas and/or objects or events in the image data 4, for example faces or number plates.
  • the user can obtain a compression application 8 and/or download it, which is used to generate compressed image data 11, in which the image sections and/or image areas with these objects and/or Includes events of increased quality compared to other areas and / or are stored.
  • Obtaining and/or installing the compression application 8 automatically and/or causes the associated decompression application to be installed and/or used
  • the analysis unit 5 of the client module 2 is designed to evaluate the provided image data 4, in particular to examine the images and/or videos comprised by the image data 4 for the presence of areas of interest.
  • the areas of interest are, for example, the image areas that show objects or events in which a user or further evaluation is interested.
  • the analysis unit 5 is designed to use the analysis application 10 to apply object recognition and/or event recognition to the image data 4, in particular using neural networks.
  • the areas of interest are made available to the processing unit 6 by the analysis unit 5; in particular, the areas of interest result in the remaining image areas as areas of no interest.
  • the processing unit 6 is designed to determine the compressed image data 11 based on the detected areas of interest 14 and the image data 4 .
  • the areas of interest 14 in the compressed image data 11 are provided in a higher quality than areas of no interest.
  • the images and/or image data constructed in this way are encoded and compressed to include the areas of interest and/or image contents of the areas of interest.
  • the compressed image data 11 are made available to the central module 3 , in particular to the decompression unit 12 .
  • the compressed image data 11 is provided to a memory unit of the central module 3 .
  • the decompression unit 12 is designed to determine the decompressed image data 16 based on the compressed image data 11, for example by decompressing and decoding the compressed image data 11.
  • the decompressed image data 16 is displayed and/or visualized by a display unit, for example.
  • the areas of interest 14 are provided by the analysis unit 5, so that the areas of interest 14 are highlighted in the display and/or visualization of the decompressed image data 16, for example by framing or colored background.
  • FIG. 2 shows an exemplary embodiment of a monitoring arrangement 1, delta coding being provided here for generating the compressed image data 11.
  • delta coding being provided here for generating the compressed image data 11.
  • This is based in particular on the consideration that instead of encoding and compressing an entire image or frame, the generation of the compressed image data provides for the encoding and/or compression of delta areas.
  • This can be a complete image or a section of an image, for example. For example, if a car accident is detected, the entire image is to be sent to the central module 3 in the highest quality, for example HD.
  • This high-resolution image can in particular be overlaid with encoding data, with the encoding data forming, for example, a conventional compression and coding of the image data 4 of reduced quality.
  • the client module 2 comprises the analysis unit 5 and the processing unit 6.
  • the client module 2 also comprises an encoding unit 18 and a decoding unit 19.
  • the encoding unit 18 is designed to generate encoding data 20, which encodes and compresses the image data in a reduced-quality manner 4 form.
  • the encoding data 20 are provided to the decoding unit 19 of the client module 2 , and the encoding data 20 are also provided to the central module 3 , in particular a decoding unit 19 of the central module 3 .
  • the decoding unit 19 is designed to decode and/or decompress the encoding data 20 so that the decompressed, quality-reduced images and/or image content are obtained.
  • the processing unit 6 is designed to generate the compressed image data 11 based on the provided areas of interest 14 , the image data 4 and the provided decompressed and decoded encoding data 21 . It is thus possible for the compressed image data 11 to only include a delta, with the delta forming, for example, the difference in the areas of interest 14 between the image data 4 and the quality-reduced, decompressed and decoded encoding data 21 .
  • the compressed image data thus essentially includes the image content of the areas of interest 14 which has been lost in the encoding data 20 as a result of the quality reduction.
  • the decompression unit 12 determines the decompressed image data 16 based on the compressed image data 11, the decoded and decompressed encoding data 21 being provided for this purpose by the decoding unit 19 for superposition.
  • the display unit 17 can thus display images showing the areas of interest 14 in high quality based on the compressed image data 11 and showing the areas of no interest based on the encoding data 20 with lower quality.
  • the compressed image data 11, the encoding data 20, the decoded and/or decompressed encoding data 21 are stored in the storage unit 15.
  • FIG. 3 shows an exemplary embodiment of a monitoring arrangement 1 in which the compressed image data 11 is generated taking data traffic into account.
  • the central module 3 includes a management unit 22 and the client module 2 includes a communication management unit 23.
  • Communication management unit 23 is designed to determine the utilization of the data traffic from the client module 2 to the central module 3 .
  • the processing unit 6 is designed to plan and/or carry out the generation of the compressed image data based on this data. For example, the processing unit 6 is designed to generate compressed image data 11 with a large number of areas of interest when the Data traffic or utilization is low, so that larger amounts of data can be transferred. If the communication management unit 23 determines a high utilization of the data traffic between the client module 2 and the central module 3, the processing unit 6 causes the generation of compressed image data 11 with fewer areas of interest and/or areas of interest with reduced quality, so that the transmission of encoding data and compressed data is ensured Image data 11 between client module 2 and central module 3 is given.

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)

Abstract

L'invention concerne un dispositif de surveillance (1) avec un module central (3) et au moins un module client (2), le module client (2) étant pourvu de données d'image (4), le module client (2) présentant une unité d'analyse (5) et une unité de traitement (6), l'unité d'analyse (5) étant conçue pour détecter des zones d'intérêt (14) dans les données d'image (4), l'unité de traitement (6) étant conçue pour générer des données d'image (11) comprimées sur la base des données d'image (4) et des zones d'intérêt (14) détectées, dans lequel le module client (2) a une unité de fourniture, l'unité de fourniture étant conçue pour fournir les données d'image compressées (11) au module central (3), dans lequel le module central (3) a une unité de décompression (12), l'unité de décompression (12) étant conçue pour déterminer des données d'image décompressées (16) sur la base des données d'image compressées (11).
PCT/EP2022/069850 2021-07-16 2022-07-15 Dispositif de surveillance et procédé de surveillance WO2023285651A1 (fr)

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DE102021207643.2A DE102021207643A1 (de) 2021-07-16 2021-07-16 Überwachungsanordnung und Verfahren zur Überwachung
DE102021207643.2 2021-07-16

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US20110258344A1 (en) * 2010-04-15 2011-10-20 Canon Kabushiki Kaisha Region of interest-based image transfer
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DE102018219067A1 (de) 2018-11-08 2020-05-14 Robert Bosch Gmbh Transparenzmechanismus zur lokalen Komposition von personenbezogenen, verteilt gespeicherten Nutzerdaten
US20200151487A1 (en) * 2018-11-09 2020-05-14 Canon Kabushiki Kaisha Image processing apparatus, image processing method, and non-transitory computer-readable recording medium
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US7492821B2 (en) 2005-02-08 2009-02-17 International Business Machines Corporation System and method for selective image capture, transmission and reconstruction
WO2008057285A2 (fr) 2006-10-27 2008-05-15 Vidient Systems, Inc. Dispositif pour capture d'images à traitement manuel et automatique d'un champ d'intérêt au moyen d'une caméra à résolution multiple
EP2179589A4 (fr) 2007-07-20 2010-12-01 Fujifilm Corp Appareil de traitement d'image, procédé et programme de traitement d'image

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Publication number Priority date Publication date Assignee Title
US20110258344A1 (en) * 2010-04-15 2011-10-20 Canon Kabushiki Kaisha Region of interest-based image transfer
US20190191128A1 (en) * 2016-08-23 2019-06-20 Nec Corporation Image processing apparatus, image processing method, and storage medium having program stored therein
DE102018219067A1 (de) 2018-11-08 2020-05-14 Robert Bosch Gmbh Transparenzmechanismus zur lokalen Komposition von personenbezogenen, verteilt gespeicherten Nutzerdaten
US20200151487A1 (en) * 2018-11-09 2020-05-14 Canon Kabushiki Kaisha Image processing apparatus, image processing method, and non-transitory computer-readable recording medium
US20200348665A1 (en) * 2019-05-02 2020-11-05 Valeo Schalter Und Sensoren Gmbh Selective compression of image data during teleoperation of a vehicle

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