Computer processor hardware receives image data specifying element settings for each image of multiple original images in a sequence. The computer processor hardware analyzes the element settings across the multiple original images. The computer processor hardware then utilizes the element settings of the multiple original images in the sequence to produce first encoded image data specifying a set of common image element settings, the set of common image element settings being a baseline to substantially reproduce each of the original images in the sequence.

Computer processor hardware receives image data specifying element settings for each image of multiple original images in a sequence. The computer processor hardware analyzes the element settings across the multiple original images. The computer processor hardware then utilizes the element settings of the multiple original images in the sequence to produce first encoded image data specifying a set of common image element settings, the set of common image element settings being a baseline to substantially reproduce each of the original images in the sequence.

A block processing pipeline in which macroblocks are input to and processed according to row groups so that adjacent macroblocks on a row are not concurrently at adjacent stages of the pipeline. The input method may allow chroma processing to be postponed until after luma processing. One or more upstream stages of the pipeline may process luma elements of each macroblock to generate luma results such as a best mode for processing the luma elements. Luma results may be provided to one or more downstream stages of the pipeline that process chroma elements of each macroblock. The luma results may be used to determine processing of the chroma elements. For example, if the best mode for luma is an intra-frame mode, then a chroma processing stage may determine a best intra-frame mode for chroma and reconstruct the chroma elements according to the best chroma intra-frame mode.

A block processing pipeline in which macroblocks are input to and processed according to row groups so that adjacent macroblocks on a row are not concurrently at adjacent stages of the pipeline. The input method may allow chroma processing to be postponed until after luma processing. One or more upstream stages of the pipeline may process luma elements of each macroblock to generate luma results such as a best mode for processing the luma elements. Luma results may be provided to one or more downstream stages of the pipeline that process chroma elements of each macroblock. The luma results may be used to determine processing of the chroma elements. For example, if the best mode for luma is an intra-frame mode, then a chroma processing stage may determine a best intra-frame mode for chroma and reconstruct the chroma elements according to the best chroma intra-frame mode.

Systems and methods for enhanced video encoding identify patterns in sequences of raw digital video frames to extract features and identify the type of content represented by the extracted features. The system simulates many outcomes of encoding the sequence of digital video frames by using various different encoding strategies to find the relative best encoding strategy for each sequence of frames. As the encoder processes video, it passes digital video frames to a modeling system which determines whether the video, or video having that same type of content, has been previously observed by the system. The system then selectively applies a saved encoding strategy that had been determined by the system to be particularly suitable for encoding the same sequence of video frames or that same type of content.

Systems and methods for enhanced video encoding identify patterns in sequences of raw digital video frames to extract features and identify the type of content represented by the extracted features. The system simulates many outcomes of encoding the sequence of digital video frames by using various different encoding strategies to find the relative best encoding strategy for each sequence of frames. As the encoder processes video, it passes digital video frames to a modeling system which determines whether the video, or video having that same type of content, has been previously observed by the system. The system then selectively applies a saved encoding strategy that had been determined by the system to be particularly suitable for encoding the same sequence of video frames or that same type of content.

A video signal processing device includes a processor. The processor is configured to obtain a secondary transform kernel for a current block based on an intra prediction mode of the current block to which a secondary transform is applied, to obtain a secondary inverse transformed block by performing a secondary inverse transform on a top-left specific region of the current block using the secondary transform kernel, wherein the secondary inverse transform is an inverse transform of the secondary transform, and the secondary transform is a low frequency non-separable transform, to obtain a residual block of the current block by performing a primary inverse transform on the secondary inverse transformed block, wherein one or more coefficients of the top-left specific region of the current block are derived in a preset scan order and the preset scan order is a 4×4 up-right diagonal scan order regardless of a size of the current block.

Systems and methods for efficient processing and presentation of advertisement based on content re-encoding are provided. An example method includes receiving, by a receiving device, the program content stream and determining, by the receiving device, encoding information of the program content stream. The example method also includes determining timing for presenting a target advertisement, responsive to determining the timing for presenting the target advertisement, initiating re-encoding of content of the target advertisement to generate re-encoded advertisement content based on the encoding information, and enabling playback of the re-encoded advertisement content in accordance with the timing for presenting the target advertisement.

Systems and methods for efficient processing and presentation of advertisement based on content re-encoding are provided. An example method includes receiving, by a receiving device, the program content stream and determining, by the receiving device, encoding information of the program content stream. The example method also includes determining timing for presenting a target advertisement, responsive to determining the timing for presenting the target advertisement, initiating re-encoding of content of the target advertisement to generate re-encoded advertisement content based on the encoding information, and enabling playback of the re-encoded advertisement content in accordance with the timing for presenting the target advertisement.

A data compression system can include a neural compression artifact removal module (NCARM) is arranged to receive compressible data and output data with compression artifacts removed. A lossy compression module can be arranged to at least one of receive and send data to the NCARM and a decompression module arranged to at least one of receive and send data to the NCARM. In some embodiments, the NCARM sends data to the lossy compression module. Alternatively, the NCARM can receive data from the decompression module and/or data from the lossy compression module. Many lossy data compression schemes, including commonly available audio and video compression methods, can benefit from artifact removal.