Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: HEVC is an emerging new standard for digital video compression, which is regarded as a successor to H.264/AVC standard. It still belongs to block-based hybrid video coding framework. The block patterns range from 4×4 to 64×64 blocks, and DCT is extended from 4×4 to 32×32. 2D-DCT for image is performed along the vertical and horizontal directions, so it is good at the energy compaction of residual block with vertical or horizontal edges. Hover, the edges are usually neither horizontal nor vertical for most cases, such as neither vertical nor horizontal intra prediction, so directional transform was explored in the past several years. , a directional transform adaptive to image content is proposed. Firstly, the prediction residual blocks are collected from coding a number of video sequences with plenty of image content. Secondly, for each kind of image content, the residual blocks are clustered to form the given number of clusters. Thirdly, each cluster contributes a transform basis after Singular Value Decomposition (SVD). The experimental results in terms of PSNR gains demonstrate the efficiency of the proposed algorithm with the comparison with the standard HM software.
['Long Xu', 'Lin Ma', 'Yun Zhang', 'Yihua Yan']
I am writing a research paper on a idea Content adaptive directional transform for high efficiency video coding
[{"from": "human", "value": "I am writing a research paper on a idea Content adaptive directional transform for high efficiency video coding"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: HEVC is an emerging new standard for digital video compression, which is regarded as a successor to H.264/AVC standard. It still belongs to block-based hybrid video coding framework. The block patterns range from 4\u00d74 to 64\u00d764 blocks, and DCT is extended from 4\u00d74 to 32\u00d732. 2D-DCT for image is performed along the vertical and horizontal directions, so it is good at the energy compaction of residual block with vertical or horizontal edges. Hover, the edges are usually neither horizontal nor vertical for most cases, such as neither vertical nor horizontal intra prediction, so directional transform was explored in the past several years. , a directional transform adaptive to image content is proposed. Firstly, the prediction residual blocks are collected from coding a number of video sequences with plenty of image content. Secondly, for each kind of image content, the residual blocks are clustered to form the given number of clusters. Thirdly, each cluster contributes a transform basis after Singular Value Decomposition (SVD). The experimental results in terms of PSNR gains demonstrate the efficiency of the proposed algorithm with the comparison with the standard HM software."}]