基于时空域特征的视频拷贝检测方法  

Video Copy Detection Based on Spatio-Temporal Feature

作　　者：张志杰[1] 邹建华[1] 

机构地区：[1]西安交通大学系统工程研究所机械制造系统工程国家重点实验室,西安710049

出　　处：《模式识别与人工智能》2012年第2期230-236,共7页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金资助项目(No.50177025)

摘　　要：提出一种仿射不变、紧致的视频时空域特征,并基于该特征进行视频拷贝检测.该方法着眼于宏观的特征同样可较好地表征视频,并且宏观特征更符合人类视觉的感知特点.首先将视频的若干连续帧堆叠成一个三维视频块;然后使用地形中分水岭的概念在视频块中检测出若干最大稳定极值块(MSEB);接着用一系列三维不变矩作为视频时空域特征来表征这些MSEB;最后,基于这些视频时空域特征来进行视频拷贝检测.实验表明,该方法与其它方法相比,检测精度和特征匹配速度均有大幅提升.A video copy detection method based on affine invariant and compact spatio-temporal feature is proposed. The proposed method is based on the maximally stable extremal blocks （MSEB） , and the use of the MSEB is more in conformity with characteristics of the human visual feeling perception than that of local features. Firstly, several continuous frames of a video are piled into a 3-D video cube. Then, the MSEB in each cube are detected based on the watershed thoughts. After the detection of MSEB, each MESB is described by a serial of 3-D moment invariants. Finally, copies of videos are accurately identified by the MSEB. The experimental results show that the proposed method is effective in matching.

关 键 词：视频拷贝检测 时空域特征 最大稳定极值块(MSEB) 三维不变矩 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]