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» Statistical visual feature indexes in video retrieval
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ICMCS
2005
IEEE
105views Multimedia» more  ICMCS 2005»
14 years 1 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
SIGIR
2005
ACM
14 years 1 months ago
Predicting query difficulty on the web by learning visual clues
We describe a method for predicting query difficulty in a precision-oriented web search task. Our approach uses visual features from retrieved surrogate document representations (...
Eric C. Jensen, Steven M. Beitzel, David A. Grossm...
SAC
2011
ACM
12 years 10 months ago
Biomedical concept extraction based on combining the content-based and word order similarities
It is well known that the main objective of conceptual retrieval models is to go beyond simple term matching by relaxing term independence assumption through concept recognition. ...
Duy Dinh, Lynda Tamine
ICCV
2001
IEEE
14 years 9 months ago
Learning the Semantics of Words and Pictures
We present a statistical model for organizing image collections which integrates semantic information provided by associated text and visual information provided by image features...
Kobus Barnard, David A. Forsyth
ICMCS
2008
IEEE
152views Multimedia» more  ICMCS 2008»
14 years 2 months ago
A geometric method to compute directionality features for texture images
In content based image analysis and retrieval, texture feature is an essential component due to its strong discriminative power. Directionality is one of the most significant text...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu