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» Query Difficulty Prediction for Contextual Image Retrieval
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MM
2009
ACM
187views Multimedia» more  MM 2009»
14 years 6 days ago
Convex experimental design using manifold structure for image retrieval
Content Based Image Retrieval (CBIR) has become one of the most active research areas in computer science. Relevance feedback is often used in CBIR systems to bridge the semantic ...
Lijun Zhang, Chun Chen, Wei Chen, Jiajun Bu, Deng ...
JASIS
2002
72views more  JASIS 2002»
13 years 7 months ago
Combining and selecting characteristics of information use
In this paper we report on a series of experiments designed to investigate the combination of term and document weighting functions in Information Retrieval. We describe a series ...
Ian Ruthven, Mounia Lalmas, C. J. van Rijsbergen
WWW
2008
ACM
14 years 8 months ago
Improving relevance judgment of web search results with image excerpts
Current web search engines return result pages containing mostly text summary even though the matched web pages may contain informative pictures. A text excerpt (i.e. snippet) is ...
Zhiwei Li, Shuming Shi, Lei Zhang
WWW
2011
ACM
13 years 2 months ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma
CVPR
2009
IEEE
15 years 2 months ago
Nonparametric Scene Parsing: Label Transfer via Dense Scene Alignment
In this paper we propose a novel nonparametric approach for object recognition and scene parsing using dense scene alignment. Given an input image, we retrieve its best matches ...
Antonio B. Torralba, Ce Liu, Jenny Yuen