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» Boosting Image Retrieval
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SIGMOD
1999
ACM
143views Database» more  SIGMOD 1999»
14 years 1 months ago
WALRUS: A Similarity Retrieval Algorithm for Image Databases
Traditional approaches for content-based image querying typically compute a single signature for each image based on color histograms, texture, wavelet transforms etc., and return...
Apostol Natsev, Rajeev Rastogi, Kyuseok Shim
CEE
2010
67views more  CEE 2010»
13 years 9 months ago
Series feature aggregation for content-based image retrieval
Feature aggregation is a critical technique in content-based image retrieval systems that employ multiple visual features to characterize image content. One problem in feature aggr...
Jun Zhang, Lei Ye
ICIP
2008
IEEE
14 years 10 months ago
Using a game to evaluate image retrieval, organization, and annotation
Methods of retrieving images that incorporate humangenerated metadata, such as keyword annotation and collaborative filtering, are less vulnerable to the semantic gap than content...
Liam M. Mayron, Oge Marques
ICIP
2004
IEEE
14 years 10 months ago
Retin al: an active learning strategy for image category retrieval
Active learning methods have been considered with an increasing interest in the content-based image retrieval (CBIR) community. In this article, we propose an efficient method bas...
Philippe Henri Gosselin, Matthieu Cord
SIBGRAPI
2008
IEEE
14 years 3 months ago
Color Descriptors for Web Image Retrieval: A Comparative Study
This paper presents a comparative study of color descriptors for content-based image retrieval on the Web. Several image descriptors were compared theoretically and the most relev...
Otávio Augusto Bizetto Penatti, Ricardo da ...