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Paper Detail

Paper IDCOM-1.4
Paper Title DECODER DERIVED CROSS-COMPONENT LINEAR MODEL INTRA-PREDICTION FOR VIDEO CODING
Authors Zhipin Deng, Kai Zhang, Li Zhang, Bytedance Inc., China
SessionCOM-1: Image and Video Coding
LocationArea H
Session Time:Tuesday, 21 September, 08:00 - 09:30
Presentation Time:Tuesday, 21 September, 08:00 - 09:30
Presentation Poster
Topic Image and Video Communications: Lossy coding of images & video
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract This paper presents a decoder derived cross-component linear model (DD-CCLM) intra-prediction method, in which one or more linear models can be used to exploit the redundancy between luma and chroma sample values, and the number of linear models used for a specific coding unit is adaptively determined at both encoder and decoder sides in a consistent way, without signalling a syntax element. The neighbouring samples are classified into two or three groups based on a K-means algorithm. Moreover, DD-CCLM can be combined with normal intra-prediction modes such as DM mode. The proposed method can be well incorporated with the state-of-the-art CCLM intra-prediction in the Versatile Video Coding standard. Experimental results show that the proposed method provides an overall average bitrate saving of 0.52% for All Intra configurations under the JVET common test conditions, with negligible runtime change. On sequences with rich chroma information, the coding gain is up to 2.07%.