CAJ | 학술논문

近年来,基于内容的拷贝检测技术伴随着Internet和无线网络的快速发展日渐引起人们的重视.针对IPTV系统应用的特殊性,提出了一种快速高效的视频拷贝检测系统.该系统利用简洁有效的帧相似度处理方法,对视频进行镜头提取并进行聚类得到镜头簇,最后利用K-means树构建所有视频的镜头簇索引,从而实现快速的拷贝检测.实验结果表明,该系统不仅检测速度快,而且针对IPTV应用具有良好的检测准确性和覆盖率.
근년래,기우내용적고패검측기술반수착Internet화무선망락적쾌속발전일점인기인문적중시.침대IPTV계통응용적특수성,제출료일충쾌속고효적시빈고패검측계통.해계통이용간길유효적정상사도처리방법,대시빈진행경두제취병진행취류득도경두족,최후이용K-means수구건소유시빈적경두족색인,종이실현쾌속적고패검측.실험결과표명,해계통불부검측속도쾌,이차침대IPTV응용구유량호적검측준학성화복개솔.
In recent years, the method of content based copy detection (CBCD) is increasingly attracting our attention as internet and wireless network develops quickly. Our paper presents a new fast and efficient system for video copy detection aiming at the particularity of IPTV. The system takes a laconic method to compare the similarity of video frames, clusters the shots into shot-clusters after selecting them from videos and makes up a tree of shot-clusters named K-means tree. The experiment results show that our system has a satisfying searching speed, as well as good rate of covering and precision.