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CVPR
2008
IEEE
16 years 8 months ago
Multiple-instance ranking: Learning to rank images for image retrieval
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
Yang Hu, Mingjing Li, Nenghai Yu
MM
2009
ACM
230views Multimedia» more  MM 2009»
16 years 1 months ago
Query expansion for hash-based image object retrieval
An efficient indexing method is essential for content-based image retrieval with the exponential growth in large-scale videos and photos. Recently, hash-based methods (e.g., local...
Yin-Hsi Kuo, Kuan-Ting Chen, Chien-Hsing Chiang, W...
MMSP
2008
IEEE
349views Multimedia» more  MMSP 2008»
16 years 1 months ago
Content based image retrieval using curvelet transform
Abstract—Feature extraction is a key issue in contentbased image retrieval (CBIR). In the past, a number of texture features have been proposed in literature, including statistic...
Ishrat Jahan Sumana, Md. Monirul Islam, Dengsheng ...
AIMSA
2008
Springer
16 years 29 days ago
Thematic Segment Retrieval Revisited
Documents, especially long ones, may contain very diverse passages related to different topics. Passages Retrieval approaches have shown that, in most cases, there is a great pote...
Sylvain Lamprier, Tassadit Amghar, Bernard Levrat,...
ICDE
2007
IEEE
141views Database» more  ICDE 2007»
16 years 28 days ago
Self Managing Top-k (Summary, Keyword) Indexes in XML Retrieval
Retrieval queries that combine structural constraints with keyword search represent a significant challenge to XML data management systems. Queries are expected to be answered as...
Mariano P. Consens, Xin Gu, Yaron Kanza, Flavio Ri...