Title :
Visual words based spatiotemporal sequence matching in video copy detection
Author :
Huamin Ren ; Shouxun Lin ; Dongming Zhang ; Sheng Tang ; Ke Gao
Author_Institution :
Lab. of Adv. Comput. Res., Chinese Acad. of Sci., Beijing, China
fDate :
June 28 2009-July 3 2009
Abstract :
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.
Keywords :
content-based retrieval; image matching; image sequences; object detection; video databases; video retrieval; SIFT descriptor; content-based copy retrieval scheme; semantic retrieval; spatiotemporal sequence matching; traditional bag-of-word-based approach; video copy detection; video copy identification; visual words; Colored noise; Content based retrieval; Feature extraction; Image retrieval; Information retrieval; Laboratories; Spatial databases; Spatiotemporal phenomena; Visual databases; Vocabulary;
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
DOI :
10.1109/ICME.2009.5202761