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» Evaluating Image Retrieval
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IVC
2007
97views more  IVC 2007»
15 years 4 months ago
Stochastic exploration and active learning for image retrieval
This paper deals with content-based image retrieval. When the user is looking for large categories, statistical classification techniques are efficient as soon as the training se...
Matthieu Cord, Philippe Henri Gosselin, Sylvie Phi...
PCM
2010
Springer
156views Multimedia» more  PCM 2010»
15 years 3 months ago
A New Text Detection Algorithm for Content-Oriented Line Drawing Image Retrieval
Abstract. Content retrieval of scanned line drawing images is a difficult problem, especially from real-life large scale databases. Existing algorithms don’t work well due to th...
Zhenyu Zhang, Tong Lu, Feng Su, Ruoyu Yang
183
Voted
CVPR
2008
IEEE
16 years 7 months ago
Rank-based distance metric learning: An application to image retrieval
We present a novel approach to learn distance metric for information retrieval. Learning distance metric from a number of queries with side information, i.e., relevance judgements...
Jung-Eun Lee, Rong Jin, Anil K. Jain
ICMCS
2007
IEEE
138views Multimedia» more  ICMCS 2007»
15 years 11 months ago
A Compact and Efficient Color Descriptor for Image Retrieval
— An important problem in color based image retrieval is the lack of efficient way to represent both the color and the spatial structure information with single descriptor. To so...
Ka-Man Wong, Lai-Man Po, Kwok-Wai Cheung
CIVR
2007
Springer
166views Image Analysis» more  CIVR 2007»
15 years 11 months ago
A content-based image retrieval scheme allowing for robust automatic personalization
The retrieval performance of content-based image retrieval (CBIR) systems is often disappointingly low, mainly due to the subjectivity of human perception. Relevance feedback (RF)...
Sotirios Chatzis, Anastasios D. Doulamis, Theodora...