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» Unsupervised Classification of Sound for Multimedia Indexing
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MM
2005
ACM
146views Multimedia» more  MM 2005»
14 years 29 days ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic
MM
1999
ACM
150views Multimedia» more  MM 1999»
13 years 11 months ago
Heuristic approach for generic audio data segmentation and annotation
A real-time audio segmentation and indexing scheme is presented in this paper. Audio recordings are segmented and classified into basic audio types such as silence, speech, music,...
Tong Zhang, C. C. Jay Kuo
MIR
2006
ACM
189views Multimedia» more  MIR 2006»
14 years 1 months ago
Dynamic storyboards for video content summarization
We propose an innovative, general purpose, approach to the selection and hierarchical representation of key frames of a video sequence for video summarization. In the first stage ...
Gianluigi Ciocca, Raimondo Schettini
CIVR
2008
Springer
271views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Multiple feature fusion by subspace learning
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Hua...