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Technical Program

Paper Detail

Paper:	MMSP-P3.3
Session:	Multimedia Database, Content Retrieval, Joint Processing and Standards
Time:	Wednesday, May 17, 16:30 - 18:30
Presentation:	Poster
Topic:	Multimedia Signal Processing: Joint audio, image, video, graphic signal processing
Title:	SOCCER VIDEO RETRIVAL USING ADAPTIVE TIME-FREQUENCY METHODS
Authors:	Jonathan Marchal, Cornel Ioana, Emanuel Radoi, Andre Quinquis, ENSIETA, France; Sridhar Krishnan, Ryerson University, Canada
Abstract:	The retrieval of soccer highlights is a suitable technique for video indexing, required by the multimedia database management or for the development of television on demand. For these purposes, it should be interesting to have an automatic annotation of events happened in soccer games. One solution consists in analyzing the audio soundtrack associated to the soccer video and to detect the interesting frames.      In this paper we use the adaptive time-frequency decomposition of the soundtrack as a feature extraction procedure. This decomposition is based on the Matching Pursuit concept and a dictionary composed of Gabor functions. The parameters provided by these transformation constitute the input of the classification stage. The results provided for real soccer video will prove the efficiency of the adaptive time-frequency representation as a feature extraction stage.