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» Diversifying the image retrieval results
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MTA
2000
165views more  MTA 2000»
13 years 8 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 6 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...
ECIR
2004
Springer
13 years 10 months ago
Measuring a Cross Language Image Retrieval System
Cross language information retrieval is a field of study that has received significant research attention, resulting in systems that despite the errors of automatic translation (f...
Mark Sanderson, Paul Clough, Catherine Paterson, W...
CIVR
2009
Springer
145views Image Analysis» more  CIVR 2009»
14 years 3 months ago
Jointly optimising relevance and diversity in image retrieval
In this paper we present a method to jointly optimise the relevance and the diversity of the results in image retrieval. Without considering diversity, image retrieval systems oft...
Thomas Deselaers, Tobias Gass, Philippe Dreuw, Her...
MIR
2003
ACM
113views Multimedia» more  MIR 2003»
14 years 2 months ago
Semantic-meaningful content-based image retrieval in wavelet domain
In this paper, we propose a semantic-meaningful approach for region-based image retrieval in image database. Our retrieval system is based on wavelet transform for its decompositi...
Yongqing Sun, Shinji Ozawa