会议论文集名称：
International Symposium on Intelligent Signal Processing and Communication Systems ISPACS
摘要：
In order to reduce the bit rate and to improve the compression performance in video coding in H.264, this paper presents more scanning patterns for entropy coding Firstly, we investigate the two designs of entropy coding, termed CAVLC and CABAC And then according to the DCT transform, we deduce that it is possible to adopt more scanning patterns in entropy coding in H.264 to reduce the coding gain at the cost of bit rate. So this paper deduces some different features of an original or residual block, and proposes eight scanning patterns for entropy coding and the corresponding pattern decision method In the pattern decision method, we make a full search according to the bit rate cost to select the best pattern out of all scanning patterns. Experimental results based on the H.264 JVT reference software of JM10.1 show that employing the proposed scanning patterns bit rate reduction by up to 4 similar to 7% will be obtained with neglectable computation complexity increased and a better performance is also obtained.
摘要：
Motion estimation and motion compensation are included as major technologies into the existing video coding standards, which generate the motion vectors that determine how each motion compensated prediction frame is created from the reference frame. As traditional motion vectors are 2-dimensional and translational, they could not represent the actual moving directions of objects or blocks in frames. This paper proposes the special idea of GTMV (global translational motion vector), and then presents us the nearly Full Search Motion Estimation and Motion Compensation algorithms based on GTMV. Experimental results based on the H.264/AVC reference software of JM10.1 show that the proposed algorithms could get a better video compression performance and could improve the coding efficiency despite increasing some coding complexity.
摘要：
In this paper we propose video coding grid environment (VCGE), which is a project to provide a high performance video-coding platform in a grid-computing environment. As far, computational grids have become a vital emerging platform for high performance computing and video coding applications with high computing complexity have been used widely in many scientific research areas. We adopt the H.264 video compression technologies that are due to get high coding efficiency and high encoding performance in the new JVT while have very high computing complexity. VCGE is a combination of grid and H.264 video compression techniques on which complex video coding and other related applications can be carried out. In this paper, we discuss the infrastructure to provide the integration platform with both techniques, and give the components of the environment, which provides flexible and useful mechanism to achieve high video coding performance for video coding applications. The proposed design is very efficient for more complex video coding applications and presents us a novel video coding technology, which is leading a direction of grid application development
