吉林大学学报（理学版）2016，Vol.54Issue(3)：587-591,5.DOI:10.13413/j.cnki.jdxblxb.2016.03.32
基于 JMVC 的立体视频场景突变检测算法
Abrupt Change Detection Algorithm for Stereoscopic Video Scene Based on JMVC
摘要
Abstract
By using the method of combined judgment of motion vector of the single view and the disparity vector of the stereoscopic video, we proposed abrupt change detection algorithm for stereoscopic video scene.Firstly,the algorithm extracted directly the motion vectors and the disparity vectors from multi-view video coding encoder.Then the average amplitude values of the disparity vectors and the motion vectors of each frame were calculated respectively.Finally,the average amplitude values of the disparity vectors and the motion vectors of each frame were compared with their corresponding threshold values,which could detect the abrupt change of the stereoscopic video scene.The proposed algorithm directly determines the abrupt change of stereoscopic video scene in the compressed domain,therefore,it can not only guarantee detection accuracy,but also reduce computational complexity.The simulation results show that the algorithm is effective.关键词
立体视频/场景变化检测/视差矢量/运动矢量/联合多视点视频编码(JMVC)Key words
stereoscopic video/scene change detection/disparity vector/motion vector/joint multi-view video coding (JMVC)分类
信息技术与安全科学引用本文复制引用
李枫,赵岩,王世刚,陈贺新..基于 JMVC 的立体视频场景突变检测算法[J].吉林大学学报（理学版）,2016,54(3):587-591,5.基金项目
国家自然科学基金(批准号:61271315 （）
61171078) （）
