Paper ID | COM-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 | ||
Session | COM-1: Image and Video Coding | ||
Location | Area 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%. |