Visual words based spatiotemporal sequence matching in video copy detection

作者：Huamin Ren, Shouxun Lin, Dongming Zhang, Sheng Tang, Ke Gao · 年份：2009 · DOI：10.1109/icme.2009.5202761 · 被引用次数：8 · 研究领域：Advanced Image and Video Retrieval Techniques、Video Analysis and Summarization、Image Retrieval and Classification Techniques

This paper proposes a novel content-based copy retrieval scheme for video copy identification. Its goal is to detect matches between a doubtful video and the ones stored in the database of the legal holders of the videos. Due to various transformations the copy may has, we use visual words vector as a representation of a frame which is based on SIFT descriptor. Unlike traditional bag-of-words (BoW) based approach applied in semantic retrieval, in which the temporal variation during the video is always neglected, our matching algorithm takes into account spatial and temporal distances between a query clip and the one in database. Experiments show robustness and effectiveness of our approach according to various single and compound transformations.