Title :
Are Concept Detector Lexicons Effective for Video Search?
Author :
Snoek, Cees G M ; Worring, Marcel
Author_Institution :
Univ. of Amsterdam, Amsterdam
Abstract :
Until now, systematic studies on the effectiveness of concept detectors for video search have been carried out using less than 20 detectors, or in combination with other retrieval techniques. We investigate whether video search using just large concept detector lexicons is a viable alternative for present day approaches. We demonstrate that increasing the number of concept detectors in a lexicon yields improved video retrieval performance indeed. In addition, we show that combining concept detectors at query time has the potential to boost performance further. We obtain the experimental evidence on the automatic video search task of TRECVID 2005 using 363 machine learned concept detectors.
Keywords :
video retrieval; TRECVID 2005; automatic video search task; concept detector lexicons; retrieval techniques; video retrieval performance; Benchmark testing; Detectors; Helicopters; Indexing; Information retrieval; Intelligent systems; Prototypes; Search engines; Speech; Streaming media;
Conference_Titel :
Multimedia and Expo, 2007 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-1016-9
Electronic_ISBN :
1-4244-1017-7
DOI :
10.1109/ICME.2007.4285063