Title :
Visual and audio segmentation for video streams
Author :
Muramoto, Takeshi ; Sugiyama, Masahide
Author_Institution :
Graduate Sch. of Comput. Sci. & Eng., Univ. of Aizu, Fukashima, Japan
Abstract :
In order to achieve object detection/location and tracking in video streams, this paper describes the video scene segmentation using visual and audio cues. For visual segmentation, frame distance and two techniques for speed-up are introduced. For audio segmentation, Cepstrum Flux and Block Cepstrum Flux parameters are introduced. Furthermore, experimental results of segmentation in both cases are described
Keywords :
audio signal processing; image segmentation; multimedia databases; object recognition; video databases; Block Cepstrum Flux; Cepstrum Flux; audio segmentation; frame distance; multimedia database management; object detection; tracking; video scene segmentation; video streams; visual segmentation; Cepstrum; Computer science; Focusing; Image segmentation; Information retrieval; Layout; Multimedia databases; Object detection; Streaming media; Target tracking;
Conference_Titel :
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6536-4
DOI :
10.1109/ICME.2000.871063
