Fast Mode Selection Based on Texture Segmentation and View Prediction in JMVC

摘要：

　　In order to reduce the encoding complexity and improve the random access performance of Joint Multi-view video coding (JMVC),this paper proposed a fast mode selection algorithm based on texture segmentation and a new prediction structure.In the fast mode decision algorithm,macroblocks are classified according to their texture complexity,and each frame is divided into flat background region,complex background region and foreground region by an adaptive threshold.Different segmentation methods are used in different regions to reduce the candidates for mode decision.Predictive modes are filtered further according to the texture direction of macroblocks,which can eliminate some unnecessary modes and improve the speed of mode searching.In the proposed prediction structure,the selection of I-view is adjusted and some inter-view prediction is removed.Compared with JMVC,experimental results show that the proposed algorithms can improve random access performance and reduce up to 65% of the computational time,while maintain high RD performance.

关键词： JMVC fast mode selection prediction structure texture segmentation.

作者: Huabing Wang Yingyun Yang

作者单位: Information Engineering School Communication University of China Beijing, China

会议类型: 国际会议

会议名称: 2012 IEEE 14th International Conference on Communication Technology(2012年第十四届通信技术国际会议(ICCT 2012))

会议地点: 成都

会议语种:英文

页码: 272-276

在线出版日期: 2012-11-09（万方平台首次上网日期，不代表论文的发表时间）