A method for encoding including executing game logic built on a game engine of a video game at a cloud gaming server to generate video frames. The method including executing scene change logic to predict a scene change in the video frames based on game state collected during execution of the game logic. The method including identifying a range of video frames that is predicted to include the scene change. The method including generating a scene change hint using the scene change logic, wherein the scene change hint identifies the range of video frames, wherein the range of video frames includes a first video frame. The method including delivering the first video frame to an encoder. The method including sending the scene change hint from the scene change logic to the encoder. The method including encoding the first video frame as an I-frame based on the scene change hint.

The present invention is concerned with methods, encoders, decoders and data streams for coding pictures, and in particular a consecutive sequence of pictures, Some embodiments may exploit the so-called Gradual Decoder Refresh—GDR—coding scheme for coding the pictures. Some embodiments may suggest Scalable Coding and Gradual Decoder Refresh improvements.

An image decoding method performed by a decoding apparatus, according to the present document, comprises the steps of: acquiring image information comprising a flag indicating whether or not one chroma quantization parameter table is to be applied with respect to chroma components, and prediction information and residual information regarding the chroma components; on the basis of the flag, deriving a chroma quantization parameter for the chroma components; deriving residual samples for the chroma components on the basis of the residual information and the chroma quantization parameter; and generating a reconstructed picture on the basis of prediction samples, which have been derived on the basis of the prediction information, and the residual samples.

An image decoding method performed by a decoding apparatus, according to the present document, comprises the steps of: acquiring image information comprising a flag indicating whether or not one chroma quantization parameter table is to be applied with respect to chroma components, and prediction information and residual information regarding the chroma components; on the basis of the flag, deriving a chroma quantization parameter for the chroma components; deriving residual samples for the chroma components on the basis of the residual information and the chroma quantization parameter; and generating a reconstructed picture on the basis of prediction samples, which have been derived on the basis of the prediction information, and the residual samples.

A method for decoding encoded blocks of pixels from an encoded video bit stream is provided that includes decoding a block vector corresponding to an encoded block of pixels from the encoded bit stream, verifying that the block vector indicates a block of reconstructed pixels in a search area including reconstructed pixels of a largest coding unit (LCU) including the encoded block of pixels and N left neighboring reconstructed LCUs of the LCU, and decoding the encoded block of pixels, wherein the block of reconstructed pixels is used as a predictor for the encoded block of pixels.

A method for decoding encoded blocks of pixels from an encoded video bit stream is provided that includes decoding a block vector corresponding to an encoded block of pixels from the encoded bit stream, verifying that the block vector indicates a block of reconstructed pixels in a search area including reconstructed pixels of a largest coding unit (LCU) including the encoded block of pixels and N left neighboring reconstructed LCUs of the LCU, and decoding the encoded block of pixels, wherein the block of reconstructed pixels is used as a predictor for the encoded block of pixels.

There is provided an image processing apparatus and method that can curb deterioration in coding efficiency. An inverse orthogonal transform of chrominance is performed using information regarding the inverse orthogonal transform of chrominance derived on the basis of information regarding an inverse orthogonal transform of luminance. For example, information regarding the orthogonal transform includes an adaptive primary transform flag indicating whether an adaptive primary transform of adaptively selecting one from a plurality of different orthogonal transforms and using the selected transform as a primary transform is to be applied to a transform block to be processed. The present disclosure can be applied to, for example, an image processing apparatus, an image encoding apparatus, an image decoding apparatus, or the like.

There is provided an image processing apparatus and method that can curb deterioration in coding efficiency. An inverse orthogonal transform of chrominance is performed using information regarding the inverse orthogonal transform of chrominance derived on the basis of information regarding an inverse orthogonal transform of luminance. For example, information regarding the orthogonal transform includes an adaptive primary transform flag indicating whether an adaptive primary transform of adaptively selecting one from a plurality of different orthogonal transforms and using the selected transform as a primary transform is to be applied to a transform block to be processed. The present disclosure can be applied to, for example, an image processing apparatus, an image encoding apparatus, an image decoding apparatus, or the like.

A mechanism for processing video data is disclosed. A determination is made to apply an end-to-end neural network-based video codec to a current video unit of a video. The end-to-end neural network-based video codec comprises a spatial-temporal adaptive compression (STAC) component including a frame extrapolative compression (FEC) branch and an image compression branch. A conversion is performed between the current video unit and a bitstream of the video via the end-to-end neural network-based video codec.

A mechanism for processing video data is disclosed. A determination is made to apply an end-to-end neural network-based video codec to a current video unit of a video. The end-to-end neural network-based video codec comprises a spatial-temporal adaptive compression (STAC) component including a frame extrapolative compression (FEC) branch and an image compression branch. A conversion is performed between the current video unit and a bitstream of the video via the end-to-end neural network-based video codec.