Title :
Audio contributions to semantic video search
Author :
Trancoso ; Pellegrini, T. ; Elo, J. Port ; Meinedo, H. ; Bugalho, M. ; Abad, A. ; Neto, J.
Author_Institution :
INESC-ID Lisboa, Portugal
fDate :
June 28 2009-July 3 2009
Abstract :
This paper summarizes the contributions to semantic video search that can be derived from the audio signal. Because of space restrictions, the emphasis will be on non-linguistic cues. The paper thus covers what is generally known as audio segmentation, as well as audio event detection. Using machine learning approaches, we have built detectors for over 50 semantic audio concepts.
Keywords :
audio signal processing; learning (artificial intelligence); search engines; video signal processing; audio contributions; audio event detection; audio segmentation; audio signal; machine learning approaches; nonlinguistic cues; semantic video search; space restrictions; Acoustic signal detection; Detectors; Event detection; Feature extraction; Hidden Markov models; Linear discriminant analysis; Loudspeakers; Machine learning; Principal component analysis; Speech recognition; Audio Event Detection; Audio Segmentation;
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.2009.5202575
