Fast Intra prediction algorithm for quality scalable video coding

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• 作者：Dayong Wang ; Yu Sun ; Mingze Bai ; Hongjian Li…
• 关键词：Coding structure ; Correlations ; Residual ; Rate ; distortion ; Early termination
• 刊名：Signal, Image and Video Processing
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：10
• 期：4
• 页码：625-632
• 全文大小：498 KB
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• 作者单位：Dayong Wang (1) (4)
  Yu Sun (2)
  Mingze Bai (1)
  Hongjian Li (3)
  Chun Yuan (4)
  Yuanyuan Huang (5)
  
  1. School of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China
  4. Division of Information Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen, 518055, China
  2. Department of Computer Science, University of Central Arkansas, Conway, AR, 72035, USA
  3. School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China
  5. Department of Network Engineering, Chengdu University of Information Technology, Chengdu, 610225, China
  
• 刊物类别：Engineering
• 刊物主题：Signal,Image and Speech Processing
  Image Processing and Computer Vision
  Computer Imaging, Vision, Pattern Recognition and Graphics
  Multimedia Information Systems
  
• 出版者：Springer London
• ISSN：1863-1711

文摘

The coding efficiency of currently scalable video coding is very high at the cost of high coding complexity. Therefore, it is extremely important to improve the coding speed. By making use of the advantage of the quality scalable video coding (QSVC) structure, we propose a new fast Intra coding algorithm for QSVC. Based on the coding structure of QSVC, temporal, spatial and inter-layer correlations are employed together to predict candidate macro-block (MB) modes and their encoding orders to exclude low possible modes, and then three new early termination methods are proposed. In addition to MB modes, temporal, spatial and inter-layer correlations are also adopted together to estimate weight values and orders of all directional modes. Experimental results demonstrate that the coding speed of the proposed algorithm can be improved by 63.58 % in average with negligible coding loss.