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基于DCE算法的压缩域视频镜头分割方法
引用本文:黄永锋,熊泽东,王绍宇.基于DCE算法的压缩域视频镜头分割方法[J].东华大学学报(自然科学版),2012,38(3):308-311.
作者姓名:黄永锋  熊泽东  王绍宇
作者单位:东华大学计算机科学与技术学院,上海,201620
基金项目:中央高校基本科研业务费专项资金科研计划资助项目
摘    要:镜头分割是视频检索的结构化基础,为此提出一种高效的视频镜头分割方法.首先,在压缩域中提取视频流中I帧携带的特征信息,并生成帧间特征分布曲线;然后,利用离散曲线演化(DCE)算法对预处理过的曲线进行分析与演进;最后,分割出视频镜头并提取关键帧.试验结果表明:该方法充分考虑了视频编码的时序特点,具有较好的分割效果,鲁棒性强.

关 键 词:压缩域  镜头分割  关键帧  DCE算法

A Method of Compressed Domain Video Shot Segmentation Based on DCE Algorithm
HUANG Yong-feng , XIONG Ze-dong , WANG Shao-yu.A Method of Compressed Domain Video Shot Segmentation Based on DCE Algorithm[J].Journal of Donghua University,2012,38(3):308-311.
Authors:HUANG Yong-feng  XIONG Ze-dong  WANG Shao-yu
Institution:( School of Computer Science and Technology , Donghua University , Shanghai 201620 , China )
Abstract:Shot segmentation is structural base for video retrieval.An efficient video shot segmentation method is proposed.Firstly , the features are extracted from I frame of video stream in the compressed domain , and the curve of feature information is drawn.Then , the discrete curve evolution ( DCE ) algorithm is used to evolved the curve.Finally , video shots are segmented and key frames are extracted by the key points of the curve.The experimental results show that the method is efficient and robust , because it takes fully into account the timing features of video encoding.
Keywords:compressed domain  shot segmentation  key frames  DCE algorithm
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