Title :
VideoQ: a fully automated video retrieval system using motion sketches
Author :
Chang, Shih-Fu ; Chen, William ; Sundaram, Hari
Author_Institution :
Dept. of Electr. Eng., Columbia Univ., New York, NY, USA
Abstract :
The rapidity with which digital information, particularly video, is being generated, has necessitated the development of tools for efficient search of these media. Content based visual queries have been primarily focused on still image retrieval. In this paper we propose a novel interactive system on the Web, based on the visual paradigm, with spatio-temporal attributes playing a key role in video retrieval. The resulting system VideoQ, is the first on-line video search engine supporting automatic object based indexing and spatio-temporal queries
Keywords :
image retrieval; search engines; video databases; VideoQ; automatic object based indexing; motion sketches; spatio-temporal attributes; spatio-temporal queries; video retrieval; video retrieval system; video search engine; Animation; Layout; Libraries; Network servers; Object segmentation; Shape; Spatial databases; Tracking; Video compression; Visual databases;
Conference_Titel :
Applications of Computer Vision, 1998. WACV '98. Proceedings., Fourth IEEE Workshop on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-8186-8606-5
DOI :
10.1109/ACV.1998.732901