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» Boosting Image Retrieval
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SIGIR
2004
ACM
15 years 6 months ago
Evaluating content-based filters for image and video retrieval
This paper investigates the level of metadata accuracy required for image filters to be valuable to users. Access to large digital image and video collections is hampered by ambig...
Michael G. Christel, Neema Moraveji, Chang Huang
117
Voted
CAIP
2007
Springer
194views Image Analysis» more  CAIP 2007»
15 years 4 months ago
A New Wavelet-Based Texture Descriptor for Image Retrieval
This paper presents a novel texture descriptor based on the wavelet transform. First, we will consider vertical and horizontal coefficients at the same position as the components o...
Esther de Ves, Ana M. C. Ruedin, Daniel G. Acevedo...
128
Voted
CLEF
2006
Springer
15 years 4 months ago
Inter-media Concept-Based Medical Image Indexing and Retrieval with UMLS at IPAL
Abstract. We promote the use of explicit medical knowledge to solve retrieval of information both visual and textual. For text, this knowledge is a set of concepts from a Meta-thes...
Caroline Lacoste, Jean-Pierre Chevallet, Joo-Hwee ...
96
Voted
CVPR
2008
IEEE
16 years 2 months ago
Semi-supervised distance metric learning for Collaborative Image Retrieval
Typical content-based image retrieval (CBIR) solutions with regular Euclidean metric usually cannot achieve satisfactory performance due to the semantic gap challenge. Hence, rele...
Steven C. H. Hoi, Wei Liu, Shih-Fu Chang
MIR
2005
ACM
137views Multimedia» more  MIR 2005»
15 years 6 months ago
A content-based image retrieval system for fish taxonomy
It is estimated that less than ten percent of the world’s species have been discovered and described. The main reason for the slow pace of new species description is that the sc...
Yixin Chen, Henry L. Bart Jr., Fei Teng