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» Analysis of Relevance Feedback in Content Based Image Retrie...
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82
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ICIAP
1995
ACM
15 years 2 months ago
Image Retrieval by Elastic Matching of User Sketches
—Effective image retrieval by content from database requires that visual image properties are used instead of textual labels to properly index and recover pictorial data. Retriev...
Alberto Del Bimbo, Pietro Pala
79
Voted
MHCI
2009
Springer
15 years 5 months ago
Automatic mobile menu customization based on user operation history
Mobile devices are becoming more and more difficult to use due to the sheer number of functions now supported. In this paper, we propose a menu customization system that ranks fun...
Yusuke Fukazawa, Mirai Hara, Masashi Onogi, Hideto...
102
Voted
SIGIR
2004
ACM
15 years 4 months ago
An effective approach to document retrieval via utilizing WordNet and recognizing phrases
Noun phrases in queries are identified and classified into four types: proper names, dictionary phrases, simple phrases and complex phrases. A document has a phrase if all content...
Shuang Liu, Fang Liu, Clement T. Yu, Weiyi Meng
114
Voted
MIR
2010
ACM
207views Multimedia» more  MIR 2010»
14 years 9 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...
CIVR
2007
Springer
160views Image Analysis» more  CIVR 2007»
15 years 5 months ago
Automatic image annotation by an iterative approach: incorporating keyword correlations and region matching
Automatic image annotation automatically labels image content with semantic keywords. For instance, the Relevance Model estimates the joint probability of the keyword and the imag...
Xiangdong Zhou, Mei Wang, Qi Zhang, Junqi Zhang, B...