A video compression apparatus includes: an acquisition unit configured to acquire video data including a plurality of frames outputted from an imaging element that has a first imaging region to image a subject and a second imaging region to image a subject and for which a first frame rate can be set for the first imaging region and a second frame rate higher than the first frame rate can be set for the second imaging region; and a compression unit configured to compress the video data acquired by the acquisition unit based on the first frame rate and the second frame rate.

A video compression apparatus includes: an acquisition unit configured to acquire video data including a plurality of frames outputted from an imaging element that has a first imaging region to image a subject and a second imaging region to image a subject and for which a first frame rate can be set for the first imaging region and a second frame rate higher than the first frame rate can be set for the second imaging region; and a compression unit configured to compress the video data acquired by the acquisition unit based on the first frame rate and the second frame rate.

In a multi-person pose recognition method, a to-be-recognized image is obtained, and a circuitous pyramid network is constructed. The circuitous network pyramid includes parallel phases, and each phase includes downsampling network layers, upsampling network layers, and a first residual connection layer to connect the downsampling and upsampling network layers. The phases are interconnected by a second residual connection layer. The circuitous pyramid network is traversed, by extracting a feature map for each phase, and the feature map of the last phase is determined to be the feature map of the to-be-recognized image. Multi-pose recognition is then performed on the to-be-recognized image according to the feature map to obtain a pose recognition result for the to-be-recognized image.

A data processing method and system provided in this disclosure can perform encoding spectrum modulation on original data, so that an amplitude of an original frame in a selected region is smoothly decreased, thereby reducing an amount of data information and improving data compression efficiency; during decompressing compressed data, decoding spectrum modulation is performed on the compressed data by using parameters corresponding to the encoding spectrum modulation, subtraction is performed between the compressed data and the data that has undergone the decoding spectrum modulation to obtain boundary information, and the boundary information is then superimposed on the compressed data, so that an amplitude of decompressed data is restored or enhanced in the selected region. The decoding spectrum modulation may effectively avoid a ringing effect. The method and system can improve the data compression efficiency, and improve transmission efficiency, while improving definition of the decompressed data.

A data processing method and system provided in this disclosure can perform encoding spectrum modulation on original data, so that an amplitude of an original frame in a selected region is smoothly decreased, thereby reducing an amount of data information and improving data compression efficiency; during decompressing compressed data, decoding spectrum modulation is performed on the compressed data by using parameters corresponding to the encoding spectrum modulation, subtraction is performed between the compressed data and the data that has undergone the decoding spectrum modulation to obtain boundary information, and the boundary information is then superimposed on the compressed data, so that an amplitude of decompressed data is restored or enhanced in the selected region. The decoding spectrum modulation may effectively avoid a ringing effect. The method and system can improve the data compression efficiency, and improve transmission efficiency, while improving definition of the decompressed data.

Provided are a method and device for video coding, video decoding and storage medium. The video coding method includes: classifying video frames into independent frames and dependent frames, which comprise a first type of the dependent frames; generating region wise packing (RWP) coding configuration of each of the independent frames by coding parameters of the respective one of the independent frames, wherein the RWP coding configuration of the independent frames comprises the parameters to be unpacked to restore the video; and for each of the first type of the dependent frames, generating RWP coding configuration of the dependent frame by coding parameters of the dependent frame based on difference and dependency between the parameters of the dependent frame and the parameters of an independent frame used as a reference for the coding of the dependent frame.

Provided are a method and device for video coding, video decoding and storage medium. The video coding method includes: classifying video frames into independent frames and dependent frames, which comprise a first type of the dependent frames; generating region wise packing (RWP) coding configuration of each of the independent frames by coding parameters of the respective one of the independent frames, wherein the RWP coding configuration of the independent frames comprises the parameters to be unpacked to restore the video; and for each of the first type of the dependent frames, generating RWP coding configuration of the dependent frame by coding parameters of the dependent frame based on difference and dependency between the parameters of the dependent frame and the parameters of an independent frame used as a reference for the coding of the dependent frame.

Aspects of the disclosure provide a method, an apparatus, and a non-transitory computer-readable storage medium for video decoding. The apparatus can include processing circuitry. The processing circuitry is configured to reconstruct blocks of an image from a coded video bitstream. The processing circuitry can perform post-processing on one of a plurality of regions of first two neighboring reconstructed blocks of the reconstructed blocks with at least one post-processing neural network (NN). The first two neighboring reconstructed blocks have a first shared boundary and include a boundary region having samples on both sides of the first shared boundary. The plurality of regions of the first two neighboring reconstructed blocks includes the boundary region and non-boundary regions that are outside the boundary region. The one of the plurality of regions is replaced with the post-processed one of the plurality of regions of the first two neighboring reconstructed blocks.

Aspects of the disclosure provide a method, an apparatus, and a non-transitory computer-readable storage medium for video decoding. The apparatus can include processing circuitry. The processing circuitry is configured to reconstruct blocks of an image from a coded video bitstream. The processing circuitry can perform post-processing on one of a plurality of regions of first two neighboring reconstructed blocks of the reconstructed blocks with at least one post-processing neural network (NN). The first two neighboring reconstructed blocks have a first shared boundary and include a boundary region having samples on both sides of the first shared boundary. The plurality of regions of the first two neighboring reconstructed blocks includes the boundary region and non-boundary regions that are outside the boundary region. The one of the plurality of regions is replaced with the post-processed one of the plurality of regions of the first two neighboring reconstructed blocks.

An image encoding/decoding method using a pixel value range constituting an image is disclosed, wherein the image decoding method using a pixel value range constituting an image comprises the steps of: receiving a bitstream; acquiring information of a pixel value range forming a first unit image included in the received bitstream; and decoding the first unit image on the basis of the acquired information of the pixel value range. Therefore, compression efficiency can be improved in an image encoding or decoding process.