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» Semantic based image retrieval: a probabilistic approach
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ICDE
2009
IEEE
170views Database» more  ICDE 2009»
16 years 8 months ago
Semantics of Ranking Queries for Probabilistic Data and Expected Ranks
Abstract-- When dealing with massive quantities of data, topk queries are a powerful technique for returning only the k most relevant tuples for inspection, based on a scoring func...
Graham Cormode, Feifei Li, Ke Yi
MM
2006
ACM
217views Multimedia» more  MM 2006»
16 years 9 days ago
IGroup: a web image search engine with semantic clustering of search results
In this demo, we present IGroup, a Web image search engine that organizes the search results into semantic clusters. Different from all existing Web image search results clusterin...
Feng Jing, Changhu Wang, Yuhuan Yao, Kefeng Deng, ...
CIVR
2004
Springer
213views Image Analysis» more  CIVR 2004»
15 years 11 months ago
Evaluation of Texture Features for Content-Based Image Retrieval
Abstract. We have carried out a detailed evaluation of the use of texture features in a query-by-example approach to image retrieval. We used 3 radically different texture feature...
Peter Howarth, Stefan M. Rüger
MM
2005
ACM
158views Multimedia» more  MM 2005»
15 years 12 months ago
Semantic knowledge extraction and annotation for web images
Nowadays, images have become widely available on the World Wide Web (WWW). It’s essential to develop effective ways for managing and retrieving such abundant images. Advantageou...
Zhigang Hua, Xiang-Jun Wang, Qingshan Liu, Hanqing...
MMM
2012
Springer
294views Multimedia» more  MMM 2012»
14 years 1 months ago
A Fuzzy Rank-Based Late Fusion Method for Image Retrieval
Rank-based fusion is indispensable in multiple search setups in lack of item retrieval scores, such as in meta-search with non-cooperative engines. We introduce a novel, simple, an...
Savvas A. Chatzichristofis, Konstantinos Zagoris, ...