首页 | 本学科首页   官方微博 | 高级检索  
     


Fast macroblock encoding algorithm based on rate-distortion activity for multiview video coding
Affiliation:1. College of Information Engineering, Zhejiang University of Technology, No. 288 Liuhe Road, Hangzhou 310023, China;2. School of Informatics and Electronics & Electronics, Zhejiang Sci-Tech University, No. 5 the 2nd Street, Xiasha District, Hangzhou 310018, China;1. School of Information Science and Engineering, Huaqiao University, Xiamen, China;2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore;1. School of Information Science and Engineering, Huaqiao University, Xiamen, China;2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore;1. Shenzhen Key Lab of Broadband Network & Multimedia, Graduate School at Shenzhen, Tsinghua University, China;2. China Academy of Electronics and Information Technology, Beijing, China;3. Graduate School of Information, Production and Systems, Waseda University, Fukuoka, Japan
Abstract:Multiview video coding (MVC) is the appendix H of H.264/AVC, and it requires a great amount of time to compress multiple viewpoints? video with complex prediction structures. To reduce the whole computational complexity of MVC, this paper proposes a fast macroblock (MB) encoding algorithm based on rate-distortion (RD) activity, and it includes the fast mode decision and the fast motion/disparity estimation. First, the RD activity type of the current MB is calculated by utilizing the Skip/Direct RD cost and the average RD costs of classified MB modes. Then, through utilizing the RD activity type and RD costs of the estimated modes, the selection of candidate modes, the early decision of Skip/Direct mode, and the reduction of Inter8×8 mode estimation are all presented in the fast mode decision. By using the RD activity type and the correlations of vectors, the selection of search center and the prediction of search range are introduced in the fast motion/disparity estimation. In addition, the proposed algorithm can be applied to temporal and inter-view views as well as anchor and non-anchor frames. An experiment with a wide range of video scenes, camera setups and quantization parameters was implemented, and the results confirmed that the proposed algorithm can reduce the encoding time significantly while maintaining a similar RD performance as the original MVC encoder. Compared to the state-of-the-art algorithms, the proposed algorithm also demonstrated better performances in the various test cases.
Keywords:Multiview video coding  Mode decision  Motion estimation  Disparity estimation
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号