Abstract:
This paper proposes an efficient graph-based approach for video copy detection. It converts the video sequence matching results to a matching results graph, so the problem of video copy detection becomes a problem of finding the longest path in the matching results graph. Experimental results show that the graph-based video sequence matching algorithm has many advantages, such as high copy locating accuracy, making up for inadequate description of image low-level features, saving detecting time, batch detecting the more than one copy which exist in two video sequences and so on.
Key words:
video copy detection,
clustering,
longest path
摘要: 提出基于图的视频拷贝检测方法,该方法将视频序列匹配结果转换为匹配结果图,进而将视频拷贝检测转换成在匹配结果图中查找最长路径的问题。实验结果显示基于图的序列匹配算法拷贝定位准确度高,可弥补图像底层特征描述力不足的缺陷,节约检测时间,批量定位2段视频序列中可能存在的多段拷贝。
关键词:
视频拷贝检测,
聚类,
最长路径
CLC Number:
LIU Hong; WEN Zhao-hui; WANG Ye;. Study on Content-based Video Copy Detection[J]. Computer Engineering, 2010, 36(7): 227-229.
刘 红;文朝晖;王 晔;. 基于内容的视频拷贝检测研究[J]. 计算机工程, 2010, 36(7): 227-229.