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130
Voted
ICMCS
2008
IEEE
15 years 10 months ago
2008
IEEE
This paper presents an effective fuzzy long-term semantic learning method for relevance feedback-based image retrieval. The proposed system uses a statistical correlationbased met...
123
Voted
ICMCS
2008
IEEE
15 years 10 months ago
2008
IEEE
Dissimilarity measurement plays a crucial role in contentbased image retrieval. In this paper, sixteen core dissimilarity measures are introduced and evaluated. We carry out a sys...
147
Voted
ISM
2008
IEEE
15 years 10 months ago
2008
IEEE
This paper proposes a new texture descriptor to guide the search and retrieval in image databases. It extracts rich information from global and local primitives of textured images...
124
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PCM
2007
Springer
15 years 9 months ago
2007
Springer
Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...
143
Voted
PCM
2004
Springer
15 years 9 months ago
2004
Springer
Due to the ‘semantic gap’ between low-level visual features and the rich semantics in user’s mind, performance of traditional contentbased image retrieval systems is far from...