Audio visual cues for video indexing and retrieval

被引：0
|
作者：
Muneesawang, Paisarn [1 ]
Amin, Tahir [2 ]
Guan, Ling [2 ]
机构：
[1] Dept. of Electrical and Computer Engineering, Naresuan University, Thailand
[2] Dept. of Electrical and Computer Engineering, Ryerson University, Toronto, Ont., Canada
来源：
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2004年 / 3331卷
关键词：
Image retrieval - Video recording;
D O I：
10.1007/978-3-540-30541-5_79
中图分类号：
学科分类号：
摘要：
This paper studies content-based video retrieval using the combination of audio and visual features. The visual feature is extracted by an adaptive video indexing technique that places a strong emphasis on accurate characterization of spatio-temporal information within video clips. Audio feature is extracted by a statistical time-frequency analysis method that applies Laplacian mixture models to wavelet coefficients. The proposed joint audio-visual retrieval framework is highly flexible and scalable, and can be effectively applied to various types of video databases. © Springer-Verlag Berlin Heidelberg 2004.
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页码：642 / 649
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