期刊文献+

基于帧差与非相邻帧差的自适应镜头检测方法 被引量:8

Self-adaptive method of shot detection based on neighbor frame difference and non-neighbor frame difference
在线阅读 下载PDF
导出
摘要 针对突变和渐变的特点,实现了一种基于帧差和非相邻帧差的自适应镜头检测方法。方法通过计算相邻帧差有效地检测突变镜头,通过计算非相邻帧差实现对渐变镜头的有效检测,二者结合可检测出几乎所有的突变和渐变镜头,获得了良好的综合检测效果。该方法不用设全局阈值,适应性强且计算量小,实验结果表明了方法的通用性和有效性。 According to the characters of abrupt change and gradual change,a self-adaptive method of shot detection based on neighbor frame difference and non-neighbor frame difference is realized in this paper.By computing neighbor frame difference,this method can effectively detect abruput change.By computing non-neighbor frame difference,gradual changes can be effectively detected.Integrating the two methods,it can almost detect all shot boundaries no matter what the shot change type is.This method does not need to set global threshold and has high adaptability with low computation cost.Experimental results show it is adaptive and efficient.
出处 《计算机工程与应用》 CSCD 北大核心 2007年第24期212-215,共4页 Computer Engineering and Applications
基金 山东师范大学学位论文创新项目(No.y2005G21)
关键词 相邻帧差非相邻帧差自适应镜头检测 neighbor frame difference non-neighbor frame difference self-adaptive shot detection
  • 相关文献

参考文献7

二级参考文献18

  • 1徐兴 杨祥 等.视频检索系统中的视频片断自动检测方法[A]..见:第十届全国多媒体技术学术会议论文集[C].北京,2001-10.99~106.
  • 2Nngasaka A,Tanaka Y.Automatic Video Indexing and Full_Motion Search for Object Appearance[C].In:Second Working Conf on visual Database System, 1991-09:113-127.
  • 3徐兴 杨祥.视频检索系统中的视频片断自动检测方法[C]..第十届全国多媒体技术学术会议论文集[C].北京,2001-10.99-106.
  • 4Zhang H J,Smoliar S W.Developing Power Tools for Video Indexing and Retfieval[C].In:SPIE Conf on Storage and Retrieval for Image and Video Databases,San Jose , CA ,1994 :140-149.
  • 5Zabin R,Miller J ,Mai K.A Feature-based Algorithm for Detecting and Classifying Scene Breaks[C].In:ACM Multimedia 95,1995-11: 189-200.
  • 6Zhong Yu,Karu K,Jain A K.Locating text in complex color images [J].IEEE Document Analysis and Recognition, 1995 ; 1 : 146-149.
  • 7Gargi U,Kasturi R,Strayer S H.Performance Characterization of Video-Shot-Change Detection Methods[J].IEEE Transaction on Circuits and Systems for video Technology,2000; 10 ( 1 ).
  • 8Zabin R,Miller J ,Mai K.A Feature-based Algorithm for Detecting and Classification Production Effects[J].Multimedia Systems, 1999;7: 119-128.
  • 9Lupatini G,Saraceno C,Leonardi R.Scene Break Deteciton:A Comparison of Research Issues in Data Engineering[C].In:Workshop on Continuous Media Databases and Applications, 1998:34-41.
  • 10Theodore Vlachos. Cut detection in video sequences using phase correlation [J]. IEEE Signal Processing Letters, 2000, 7 (7):173-175.

共引文献29

同被引文献57

引证文献8

二级引证文献15

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部