Proposed are a method and apparatus for evaluating the quality of an image, the method including obtaining blocks each having a predetermined size by splitting a target image for evaluating a quality and a reference image that is to be compared with the target image, determining sensitivity information and quality assessment information of each of the blocks by inputting the blocks to a video quality assessment network, and determining a final image quality assessment score of the target image by combining the pieces of quality assessment information of the blocks with each other, based on the pieces of sensitivity information of the blocks.

Proposed are a method and apparatus for evaluating the quality of an image, the method including obtaining blocks each having a predetermined size by splitting a target image for evaluating a quality and a reference image that is to be compared with the target image, determining sensitivity information and quality assessment information of each of the blocks by inputting the blocks to a video quality assessment network, and determining a final image quality assessment score of the target image by combining the pieces of quality assessment information of the blocks with each other, based on the pieces of sensitivity information of the blocks.

A method may include obtaining a machine learning model configured to label media files of a given type. The method may include obtaining a saliency map including multiple elements corresponding to aspects of the given type of media files, each element corresponding to encoding parameters. A given encoding parameter of an associated element may be based on an identified salience of the associated element in the machine learning model determining a label. The method may include obtaining a first media sample of the given type. The method may include deriving a second media sample from the first media sample based on applying the given encoding parameter to the associated element of the first media sample according to the saliency map. The method may include labeling, by the machine learning model, the second media sample.

It is configured to include a video signal compression unit that compresses a video signal for displaying, on an image inspection monitor, an image inspection screen including a first area for displaying a medical image and a second area for displaying information other than the medical image, and a transmitting unit that transmits, via a communication network, the video signal having been compressed, and the video signal compression unit compresses, in each frame of the video signal, the second area of the image inspection screen at a compression rate higher than a compression rate of the first area.

It is configured to include a video signal compression unit that compresses a video signal for displaying, on an image inspection monitor, an image inspection screen including a first area for displaying a medical image and a second area for displaying information other than the medical image, and a transmitting unit that transmits, via a communication network, the video signal having been compressed, and the video signal compression unit compresses, in each frame of the video signal, the second area of the image inspection screen at a compression rate higher than a compression rate of the first area.

A media encoder for encoding a stream of media data blocks is provided having an encoder pipeline comprising a sequence of processing modules for processing a stream of media data blocks, and a pipeline configurator configured effect a switch in the encoder pipeline from one or more first encode parameters to one or more second encode parameters. The first processing module of the pipeline can be configured to associate a trigger value with at least a first media data block processed at the first processing module in accordance with second encode parameters, the trigger value passing to subsequent modules so as to cause those modules to adopt the second encode parameters.

A media encoder for encoding a stream of media data blocks is provided having an encoder pipeline comprising a sequence of processing modules for processing a stream of media data blocks, and a pipeline configurator configured effect a switch in the encoder pipeline from one or more first encode parameters to one or more second encode parameters. The first processing module of the pipeline can be configured to associate a trigger value with at least a first media data block processed at the first processing module in accordance with second encode parameters, the trigger value passing to subsequent modules so as to cause those modules to adopt the second encode parameters.

Image coding using alpha channel prediction may include generating a reconstructed image using alpha channel prediction and outputting the reconstructed image. Generating the reconstructed image using alpha channel prediction may include decoding reconstructed color channel values for a current pixel expressed with reference to first color space, obtaining color space converted color channel values for the current pixel by converting the reconstructed color channel values to a second color space, obtaining an alpha channel lower bound for an alpha channel value for the current pixel using the color space converted color channel values, generating a candidate predicted alpha value for the current pixel, obtaining an adjusted predicted alpha value for the current pixel using the candidate predicted alpha value and the alpha channel lower bound, generating a reconstructed pixel for the current pixel using the adjusted predicted alpha value, and including the reconstructed pixel in the reconstructed image.

This disclosure relates to video coding and more particularly to techniques for signaling picture information in a slice header for coded video. According to an aspect of an invention, a first flag syntax element specifying whether a picture header is present in a slice header is parsed; a second flag syntax element, specifying a luma mapping is used for a current slice or a luma mapping with a chroma scalling is not used for a current slice, and a third flag syntax element, specifying whether a scaling information for the current slice is derived, are parsed based on the first flag syntax element.

Aspects of the disclosure provide a method and an apparatus including processing circuitry for video decoding. The processing circuitry decodes coding information for a current block. The coding information indicates that the current block is coded in a string copy mode and the coding information includes a first syntax element indicating a string length of a current string in the current block. A coded value of the first syntax element indicates a number N3 of sample groups. Each sample group has L samples, N3 and L being positive numbers. The string length and a number M1 of samples in the current block are divisible by L. The processing circuitry determines a string vector (SV) and the string length of the current string in the current block based on the coding information. The processing circuitry reconstructs the current string based on the SV and the string length of the current string.