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CVPR
2005
IEEE
15 years 23 days ago
Semi-Supervised Cross Feature Learning for Semantic Concept Detection in Videos
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. But a major obstacle to this is the insufficienc...
Rong Yan, Milind R. Naphade
ICMCS
2005
IEEE
105views Multimedia» more  ICMCS 2005»
14 years 4 months ago
Speech-Based Visual Concept Learning Using Wordnet
Modeling visual concepts using supervised or unsupervised machine learning approaches are becoming increasing important for video semantic indexing, retrieval, and filtering appli...
Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun
CIVR
2006
Springer
128views Image Analysis» more  CIVR 2006»
14 years 2 months ago
Using Topic Concepts for Semantic Video Shots Classification
Automatic semantic classification of video databases is very useful for users searching and browsing but it is a very challenging research problem as well. Combination of visual an...
Stéphane Ayache, Georges Quénot, J&e...
MM
2006
ACM
175views Multimedia» more  MM 2006»
14 years 4 months ago
The challenge problem for automated detection of 101 semantic concepts in multimedia
We introduce the challenge problem for generic video indexing to gain insight in intermediate steps that affect performance of multimedia analysis methods, while at the same time...
Cees Snoek, Marcel Worring, Jan van Gemert, Jan-Ma...
ICASSP
2010
IEEE
13 years 11 months ago
Detecting local semantic concepts in environmental sounds using Markov model based clustering
Detecting the time of occurrence of an acoustic event (for instance, a cheer) embedded in a longer soundtrack is useful and important for applications such as search and retrieval...
Keansub Lee, Daniel P. W. Ellis, Alexander C. Loui