Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (23): 174-176.

• 图形、图像、模式识别 • Previous Articles     Next Articles

Shot boundary detection based on information of macroblocks movement

MA Chunmei1,HUANG Baogui1,LU Zhentai2   

  1. 1.Computer Science College,Qufu Normal University,Rizhao,Shandong 276826,China
    2.School of Biomedical Engineering,Southern Medical University,Guangzhou 510515,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-08-11 Published:2011-08-11

基于宏块运动信息的镜头边界检测

马春梅1,黄宝贵1,卢振泰2   

  1. 1.曲阜师范大学 计算机科学学院,山东 日照 276826
    2.南方医科大学 生物医学工程学院,广州 510515

Abstract: Shot boundary detection is the fundamental and the first step towards video processing and retrieval.All I-frames in compressed video are partly decompressed and features of their DC images are extracted.Shot boundary is generally detected by difference of I frames DC images’ character and then precisely located by macroblocks movement information of B or P frames in compressed video.Experimental results indicate that the algorithm presented in this paper is effective and precise and it can compensate the disadvantage of shot boundary detection in compressed domain.

Key words: shot boundary detection, cuts, gradual transition, Continuous Difference of DC-pictures(CDDC), peak area

摘要: 镜头边界检测是视频处理与检索中最重要的第一步。对视频流直接在压缩域中部分解压I帧,提取其DC图像的特征,利用连续I帧的DC图像的特征差异粗略定位镜头的边界,再根据压缩域中P、B帧的各种类型的宏块数量变化精确定位镜头边界。实验结果表明,本算法能高效而精确地对突变镜头和渐变镜头进行检测,弥补了压缩域中镜头定位精确性不高的缺点。

关键词: 镜头边界检测, 突变, 渐变, 连续DC图像差值, 峰区