An encoding device evaluates a plurality of processing and/or post-processing algorithms and/or methods to be applied to a video stream, and signals a selected method, algorithm, class or category of methods/algorithms either in an encoded bitstream or as side information related to the encoded bitstream. A decoding device or post-processor utilizes the signaled algorithm or selects an algorithm/method based on the signaled method or algorithm. The selection is based, for example, on availability of the algorithm/method at the decoder/post-processor and/or cost of implementation. The video stream may comprise, for example, downsampled multiplexed stereoscopic images and the selected algorithm may include any of upconversion and/or error correction techniques that contribute to a restoration of the downsampled images.

An example electronic device may include a memory, an image sensor, and at least one processor operatively connected to the memory and the image sensor, wherein the memory is configured to store instructions which, when executed by the at least one processor, cause the electronic device to acquire, through the image sensor, a plurality of images including first images having a first size and at least one second image having a second size larger than the first size, acquire a first synthesis image based on the first images, acquire a first moving object portion from the first synthesis image, based on synthesis area information including at least one of moving object location information or background location information, identify a second moving object portion in the at least one second image, based on the synthesis area information, and acquire a second synthesis image by replacing the second moving object portion by the first moving object portion, and other embodiments are possible.

The present disclosure relates to systems and methods for transmitting Standard Dynamic Range (SDR) content. The systems and methods may use a modified Electro-Optical Transfer Function (EOTF) curve to convert nonlinear color values of SDR content into optical output values of modified SDR content. The systems and methods may encode the modified SDR content using eight bits while preventing banding. The systems and methods may transmit the encoded data to a client device for presentation on a display.

The present disclosure relates to systems and methods for transmitting Standard Dynamic Range (SDR) content. The systems and methods may use a modified Electro-Optical Transfer Function (EOTF) curve to convert nonlinear color values of SDR content into optical output values of modified SDR content. The systems and methods may encode the modified SDR content using eight bits while preventing banding. The systems and methods may transmit the encoded data to a client device for presentation on a display.

A processor unit configured to identify blocks of a frame of a video sequence to be excluded from a motion-compensated operation, the processor unit comprising: a frame processor configured to process pixel values of a first frame to characterise blocks of one or more pixels of the first frame as representing at least a portion of a graphic object; a frame-difference processor configured to determine difference values between blocks of the first frame and corresponding blocks of a second frame, and to process said difference values to characterise blocks of the first frame as representing an image component that is static between the first and second frames; a block identifier configured to identify blocks of the first frame as protected blocks in dependence on blocks characterised as: (i) representing at least a portion of a graphic object; and (ii) representing an image component that is static between the first and second frames, wherein the identified protected blocks are to be excluded from the motion compensated operation.

An image processing device and an image processing method are provided. The image processing device includes multiple image input units, an expansion module, a controller, and an image processing module. The multiple image input units are configured to receive multiple image signals and convert the multiple image signals into multiple converted image signals. The multiple converted image signals have a first image format. The expansion module is detachably coupled to the multiple image input units and is configured to output selected image signals according to a first selection signal. The controller is configured to provide the first selection signal. The image processing module is configured to receive the selected image signals to integrate into a picture by picture or a picture on picture.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for managing virtual surveillance windows for video surveillance. The methods, systems, and apparatus include actions of obtaining an original video, generating a downscaled video from the original video, detecting a first event at a location from the downscaled video using a first classifier, generating a windowed video from the original video based on the location, detecting a second event from the windowed video, and performing an action in response to detecting the second event.

A communication system includes a camera module and a backend module. The camera module includes an image sensor, a data converter, and a first interface. The image sensor generates a digital signal according to an optical signal. The data converter converts the digital signal into a conversion signal. The first interface transmits the conversion signal. The backend module includes a second interface and a processor. The second interface receives the conversion signal. The processor processes the received conversion signal.

A communication system includes a camera module and a backend module. The camera module includes an image sensor, a data converter, and a first interface. The image sensor generates a digital signal according to an optical signal. The data converter converts the digital signal into a conversion signal. The first interface transmits the conversion signal. The backend module includes a second interface and a processor. The second interface receives the conversion signal. The processor processes the received conversion signal.

The present disclosure relates to a lossless AR video capture and transmission method, apparatus and system. The method includes converting combined analog electronic signals synchronously captured by a plurality of image sensors and a plurality of sound pickups into multi-channels of first digital signals; losslessly converting the multi-channels of first digital signals into multi-channels of second digital signals; obtaining multi-channels of first optical signals by performing respective photoelectric conversions on the multi-channels of second digital signals; receiving the multi-channels of first optical signals, and converting the multi-channels of first optical signals into the multi-channels of second digital signals; and parsing at least one channel of second digital signal among the multi-channels of second digital signals into an AR video.