Technical Program

Paper Detail

Paper:AE-P6.11
Session:Audio for Multimedia and Networks
Time:Friday, May 21, 13:00 - 15:00
Presentation: Poster
Topic: Audio and Electroacoustics: Audio for Multimedia
Title: AUDIO PCA IN A NOVEL MULTIMEDIA SCHEME FOR SCENE CHANGE DETECTION
Authors: Marios Kyperountas; Aristotle University of Thessaloniki 
 Zuzana Cernekova; Aristotle University of Thessaloniki 
 Constantine Kotropoulos; Aristotle University of Thessaloniki 
 Marios Gavrielides; Aristotle University of Thessaloniki 
 Ioannis Pitas; Aristotle University of Thessaloniki 
Abstract: A novel scene change detection algorithm is proposed in this paper that exploits both audio and video information. Audio frames are projected to the eigenspace and their distance from a reference noise eigenframe is calculated. An analysis is presented that explains why this subspace favors scene cut detection. Video information is used to align audio scene change indications with neighboring shot changes in the visual data, and accordingly to reduce the false alarm rate. Moreover, video fade effects are identified and used independently in order to track scene changes. The detection technique was tested on newscast videos provided by the TRECVID 2003 video test set. The experimental results show that the aforementioned methods used to process the audio and video information complement each other well in tackling the scene change detection problem.
 
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