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» Improving image retrieval effectiveness via multiple queries
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MMDB
2003
ACM
94views Multimedia» more  MMDB 2003»
13 years 10 months ago
Improving image retrieval effectiveness via multiple queries
Conventional approaches to image retrieval are based on the assumption that relevant images are physically near the query image in some feature space. This is the basis of the clu...
Xiangyu Jin, James C. French
ICMCS
2009
IEEE
103views Multimedia» more  ICMCS 2009»
13 years 2 months ago
Web image retrieval via learning semantics of query image
The performance of traditional image retrieval approaches remains unsatisfactory, as they are restricted by the wellknown semantic gap and the diversity of textual semantics. To t...
Chuanghua Gui, Jing Liu, Changsheng Xu, Hanqing Lu
MM
2004
ACM
170views Multimedia» more  MM 2004»
13 years 10 months ago
Effective automatic image annotation via a coherent language model and active learning
Image annotations allow users to access a large image database with textual queries. There have been several studies on automatic image annotation utilizing machine learning techn...
Rong Jin, Joyce Y. Chai, Luo Si
SAC
2003
ACM
13 years 10 months ago
Improving Image Retrieval Effectiveness in Query-by-Example Environment
Query-by-example is the most popular query model for today’s image retrieval systems. A typical query image contains not only relevant objects (e.g., Eiffel Tower), but also ir...
Khanh Vu, Kien A. Hua, Ning Jiang
WSDM
2012
ACM
236views Data Mining» more  WSDM 2012»
12 years 12 days ago
Effective query formulation with multiple information sources
Most standard information retrieval models use a single source of information (e.g., the retrieval corpus) for query formulation tasks such as term and phrase weighting and query ...
Michael Bendersky, Donald Metzler, W. Bruce Croft