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CVPR
2008
IEEE
16 years 4 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»
15 years 8 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»
15 years 8 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
15 years 8 months 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»
15 years 8 months 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...