Title :
Keyword spotting for video soundtrack indexing
Author :
Gelin, Philippe ; Wellekens, Chris J.
Author_Institution :
Inst. Eurecom, Sophia Antipolis, France
Abstract :
The amount of available video information is dramatically increasing due to the development of multimedia applications. As a consequence, content based retrieval tools are urgently needed for fast and easy access to multimedia database but also to movies and recorded video news. In particular, queries may rely on off-line indexing. Keyword spotting on video soundtracks could be of great help in this indexation process and in the future associated with pattern or event recognition out of the strictly visual information. Specific constraints for this application are identified and a solution based on phonemic lattices is proposed. The word spotter achieves indexing on open vocabularies uttered by any speaker. It is fast enough for practical applications and does not require much additional stored information
Keywords :
indexing; information retrieval systems; multimedia communication; multimedia computing; query processing; speech recognition; vocabulary; content based retrieval tools; event recognition; keyword spotting; movies; multimedia application; multimedia database; off-line indexing; open vocabularies; pattern recognition; phonemic lattices; recorded video news; video information; video soundtrack indexing; word spotter; Content based retrieval; Hidden Markov models; Indexing; Information retrieval; Lattices; Multimedia communication; Multimedia databases; Speech; Visual databases; Vocabulary;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.540417