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» Thinking of a System for Image Retrieval
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MTA
2000
165views more  MTA 2000»
13 years 7 months ago
Approximating Content-Based Object-Level Image Retrieval
Object-level image retrieval is an active area of research. Given an image, a human observerdoesnot see randomdots of colors. Rather,he she observesfamiliarobjectsin the image. The...
Wynne Hsu, Tat-Seng Chua, Hung Keng Pung
ICIP
2009
IEEE
13 years 5 months ago
Optimization on active learning strategy for object category retrieval
Active learning is a framework that has attracted a lot of research interest in the content-based image retrieval (CBIR) in recent years. To be effective, an active learning syste...
David Gorisse, Matthieu Cord, Frédér...
CIVR
2008
Springer
152views Image Analysis» more  CIVR 2008»
13 years 9 months ago
FISH: a practical system for fast interactive image search in huge databases
The problem of search and retrieval of images using relevance feedback has attracted tremendous attention in recent years from the research community. A real-world-deployable inte...
Pradhee Tandon, Piyush Nigam, Vikram Pudi, C. V. J...
CIVR
2004
Springer
100views Image Analysis» more  CIVR 2004»
14 years 1 months ago
STRICT: An Image Retrieval Platform for Queries Based on Regional Content
This paper presents a CBIR system that is based on a segmented representation of image content. It compares regional features using fuzzy similarity, which have been shown to be ps...
Jean-François Omhover, Marcin Detyniecki
ICPR
2010
IEEE
13 years 9 months ago
Toward Massive Scalability in Image Matching
A method for image matching from partial blurry images is presented that leverages existing text retrieval algorithms to provide a solution that scales to hundreds of thousands of...
Jorge Moraleda, Jonathan Hull