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» Measuring Effectiveness in Fuzzy Information Retrieval
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ECIR
2011
Springer
12 years 11 months ago
Dynamic Two-Stage Image Retrieval from Large Multimodal Databases
Abstract. Content-based image retrieval (CBIR) with global features is notoriously noisy, especially for image queries with low percentages of relevant images in a collection. More...
Avi Arampatzis, Konstantinos Zagoris, Savvas A. Ch...
CIVR
2008
Springer
127views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Performance evaluation of relevance feedback methods
In this paper we review the evaluation of relevance feedback methods for content-based image retrieval systems. We start out by presenting an overview of current common practice, ...
Mark J. Huiskes, Michael S. Lew
WSDM
2009
ACM
140views Data Mining» more  WSDM 2009»
14 years 2 months ago
Effective latent space graph-based re-ranking model with global consistency
Recently the re-ranking algorithms have been quite popular for web search and data mining. However, one of the issues is that those algorithms treat the content and link informati...
Hongbo Deng, Michael R. Lyu, Irwin King
CIKM
2009
Springer
13 years 11 months ago
Empirical justification of the gain and discount function for nDCG
The nDCG measure has proven to be a popular measure of retrieval effectiveness utilizing graded relevance judgments. However, a number of different instantiations of nDCG exist, d...
Evangelos Kanoulas, Javed A. Aslam
SIGIR
2008
ACM
13 years 7 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang