Abstract: A method of coding video data comprising determining a quantization group (QG) based on one or more of a size of a CU splitting node and a value of a region-based parameter, determining a single quantization parameter for all blocks of video data within the determined quantization group, and performing a quantization process on transform coefficients of all blocks of video data within the determined quantization group using the determined single quantization parameter.

Abstract: Disclosed is a method for processing a video signal using graph-based transform and a device for the method. A method for processing a video signal using graph-based transform, including specifying a set of available graph configurations in order to process the video signal, extracting signal structure information from samples within a processing block of the image, configuring a graph for the samples within the processing block using the signal structure information, determining transform for the processing block using the graph, and transforming the samples within the processing block using the transform. The signal structure information may be defined as information about a graph configuration which belongs to the set of specified graph configurations and which is applied to each of the samples within the processing block.

Abstract: A device for coding video data is configured to determine a predicted sign value for a transform coefficient of a current block of a current picture of the video data. The device may further determine, based on a quantized value for the transform coefficient being greater or less than a threshold, a Context Adaptive Binary Arithmetic Coding (CABAC) context. Additionally, the device may use the determined CABAC context to CABAC code a syntax element indicating whether the predicted sign value for the transform coefficient is correct.

Abstract: The present invention provides a method for encoding a video signal on the basis of a graph-based lifting transform (GBLT), comprising the steps of: detecting an edge from an intra residual signal; generating a graph on the basis of the detected edge, wherein the graph includes a node and a weight link; acquiring a GBLT coefficient by performing the GBLT for the graph; quantizing the GBLT coefficient; and entropy-encoding the quantized GBLT coefficient, wherein the GBLT includes a partitioning step, a prediction step, and an update step.

Abstract: Disclosed is a method for processing a video signal using graph-based transform and a device for the method. A method for processing a video signal using graph-based transform, including specifying a set of available graph configurations in order to process the video signal, extracting signal structure information from samples within a processing block of the image, configuring a graph for the samples within the processing block using the signal structure information, determining transform for the processing block using the graph, and transforming the samples within the processing block using the transform. The signal structure information may be defined as information about a graph configuration which belongs to the set of specified graph configurations and which is applied to each of the samples within the processing block.

Abstract: The present invention provides a method for performing a graph-based prediction using a graph signal including obtaining a context signal; generating a graph signal based on a graph parameter set; obtaining a graph-based transform matrix based on the graph signal, wherein the graph-based transform matrix includes an eigenvector; obtaining a prediction vector using an optimal transform vector calculated through an optimization function; and generating a prediction signal using the prediction vector, where the optimization function has the context signal, an eigenvalue of a graph Laplacian matrix and the eigenvector as a variable.

Abstract: The present invention provides a method for decoding a video signal using a graph-based transform including receiving a generalized graph signal including a graph parameter set; obtaining a graph-based transform kernel of a transform unit based on the graph parameter set and a predetermined penalty function; and decoding the transform unit using the graph-based transform kernel.

Abstract: Disclosed herein is a method of performing an adaptive video coding, comprising: determining transform subsets including a group index and linear transforms with dimensions M×M and N×N, wherein the linear transforms correspond to at least one of a null transform and predefined transforms; selecting an optimal transform subset for a transform unit from the determined transform subsets, wherein each of rows and columns of the transform unit corresponds to different linear transform; and encoding the optimal transform subset.

Abstract: A method for assigning a plurality of users of a broadcasting system, wherein each of the plurality of users subscribes to at least one of a plurality of receiver groups provided by the broadcasting system. The method includes dividing the plurality of users into a plurality of temporary groups each including ones of the plurality of users that subscribe to a same one of the plurality of receiver groups; and assigning the ones of the plurality of users to at least one user group.