A Representative-Sequence Based Near-Duplicate Video Detection Method
详细信息    查看全文
文摘
This paper presents a method of near-duplicate video detection based on representative-sequence. Firstly, the video is divided into different scenes according to the variance of the Chi-squared color histogram and Grayscale OM (Ordering Measure), and then the frames of a single scene are preprocessed by decreasing the frame rate to a particular rate and detecting the occurrence of black-sides. For each scene, every certain number of frames are merged into one TIRI frame, and then weighted grayscale mutual information is calculated to select the representative frames from the TIRI frames. Next, several features are extracted from the representative frames for matching, including color, edge and grayscale features. Finally, whether or not the video is a near-duplicate is determined by the match degree of the characteristics. Experimental results show that the algorithm presented by this paper possesses good robustness and detection capabilities.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700