Abstract：The need for copyright protection and the desire to protect intellectual property has made content based video copy detection a widely studied issue. A video copy detection method based on local and global features is given here that overcomes the limitations of using the global and local features. The system combines blocked Harris corner and ordinal measures and is robust to illumination changes, video coding changes, partial occlusions and other effects. The system also uses inverted indexes, so this method is very efficient. Tests show that this algorithm effectively improves the accuracy of the video copy detection.
王晶, 王昊. 融合局部特征和全局特征的视频拷贝检测[J]. 清华大学学报（自然科学版）, 2016, 56(3): 269-272.
WANG Jing, WANG Hao. Video copy detection based on local and global features. Journal of Tsinghua University(Science and Technology), 2016, 56(3): 269-272.
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2016, Vol. 56 
