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» Image Retrieval: The MIRACLE Approach
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CIVR
2003
Springer
107views Image Analysis» more  CIVR 2003»
15 years 6 months ago
Fast Video Retrieval under Sparse Training Data
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
Yan Liu, John R. Kender
CIVR
2006
Springer
201views Image Analysis» more  CIVR 2006»
15 years 5 months ago
Efficient Margin-Based Rank Learning Algorithms for Information Retrieval
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...
Rong Yan, Alexander G. Hauptmann
CIVR
2005
Springer
156views Image Analysis» more  CIVR 2005»
15 years 7 months ago
Content-Based Object Movie Retrieval by Use of Relevance Feedback
Abstract. Object movie refers to a set of images captured from different perspectives around a 3D object. Object movie is a good representation of a physical object because it can ...
Li-Wei Chan, Cheng-Chieh Chiang, Yi-Ping Hung
CIKM
2003
Springer
15 years 6 months ago
Visual structures for image browsing
Content-Based Image Retrieval (CBIR) presents several challenges and has been subject to extensive research from many domains, such as image processing or database systems. Databa...
Ricardo da Silva Torres, Celmar G. Silva, Claudia ...
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ICMCS
2005
IEEE
78views Multimedia» more  ICMCS 2005»
15 years 7 months ago
Meeting video retrieval using dynamic HMM model similarity
Overcoming the semantic-feature gap and adapting to context are two main challenges in content-based retrieval. The problem is even more complicated for unstructured videos such a...
Dar-Shyang Lee, Jonathan J. Hull, Berna Erol