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» Boosting Image Retrieval
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MM
1997
ACM
182views Multimedia» more  MM 1997»
15 years 9 months ago
VideoQ: An Automated Content Based Video Search System Using Visual Cues
The rapidity with which digital information, particularly video is being generated, has necessitated the development of tools for efficient search of these digital media. Content...
Shih-Fu Chang, William Chen, Horace J. Meng, Hari ...
134
Voted
CORIA
2009
15 years 6 months ago
Aggregated search: From information nuggets to aggregated documents
The aggregated search assembles in one interface information from different sources. It deals with different types of content (text, video, image, etc) and granularities of retriev...
Arlind Kopliku
CLEF
2007
Springer
15 years 11 months ago
Multiplying Concept Sources for Graph Modeling
This paper presents the LIG contribution to the CLEF 2007 medical retrieval task (i.e. ImageCLEFmed). The main idea in this paper is to incorporate medical knowledge in the langua...
Loïc Maisonnasse, Éric Gaussier, Jean-...
CIVR
2008
Springer
165views Image Analysis» more  CIVR 2008»
15 years 6 months ago
Balancing thread based navigation for targeted video search
Various query methods for video search exist. Because of the semantic gap each method has its limitations. We argue that for effective retrieval query methods need to be combined ...
Ork de Rooij, Cees G. M. Snoek, Marcel Worring
ICPR
2000
IEEE
16 years 6 months ago
A Weighted Distance Approach to Relevance Feedback
Content-based image retrievalsystems use low-levelfeatures like color and texturefor image representation. Given these representationsasfeature vectors, similarity between images ...
Selim Aksoy, Robert M. Haralick, Faouzi Alaya Chei...