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  1. International Journal of Multimedia Information Retrieval
  2. International Journal of Multimedia Information Retrieval : Volume 3
  3. International Journal of Multimedia Information Retrieval : Volume 3, Issue 1, March 2014
  4. Adaptive diversification for tag-based social image retrieval
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International Journal of Multimedia Information Retrieval : Volume 6
International Journal of Multimedia Information Retrieval : Volume 5
International Journal of Multimedia Information Retrieval : Volume 4
International Journal of Multimedia Information Retrieval : Volume 3
International Journal of Multimedia Information Retrieval : Volume 3, Issue 4, November 2014
International Journal of Multimedia Information Retrieval : Volume 3, Issue 3, September 2014
International Journal of Multimedia Information Retrieval : Volume 3, Issue 2, June 2014
International Journal of Multimedia Information Retrieval : Volume 3, Issue 1, March 2014
Self-similarity-based partial near-duplicate video retrieval and alignment
Multivariate time series modeling of geometric features of spatio-temporal volumes for content based video retrieval
Adaptive diversification for tag-based social image retrieval
An incremental evolutionary learning method for optimizing content-based image indexing algorithms
Statistical framework for content-based medical image retrieval based on wavelet orthogonal polynomial model with multiresolution structure
International Journal of Multimedia Information Retrieval : Volume 2
International Journal of Multimedia Information Retrieval : Volume 1

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Adaptive diversification for tag-based social image retrieval

Content Provider Springer Nature Link
Author Ben Amar, Chokri Ben Ammar, Anis Ksibi, Amel
Copyright Year 2013
Abstract With the great popularity of social photos sharing websites, a tremendous volume of digital images is hosted together with their associated tags. Thus, extensive research efforts have been dedicated to tag-based social image search which enables users to formulate their queries using tags. However, tag queries are often ambiguous and typically short. Diversifying search results is a common solution in the absence of further knowledge about the user’s intention. Such approach aims to retrieve relevant images covering as much of the diverse meanings the query may have. However, not all queries are uniformly ambiguous and hence different diversification strategies might be suggested. In such a context, two new processes are jointly investigated at query pre-processing and post-processing levels. On the one hand, we propose a multi-view concept-based query expansion process, using a predefined list of semantic concepts, which aims to weight concepts from different views or contexts, aggregate the obtained weights and select the most representative ones using a dynamic threshold. On the other hand, we propose a new ranking process called “adaptive diverse relevance ranking” which automatically predicts an effective trade-off between relevance scores and diversity scores according to the query ambiguity level. Thorough experiments using 12 ambiguous queries over the NUS-WIDE dataset show the effectiveness of our approach versus classical uniform diversification approaches.
Starting Page 29
Ending Page 39
Page Count 11
File Format PDF
ISSN 21926611
Journal International Journal of Multimedia Information Retrieval
Volume Number 3
Issue Number 1
e-ISSN 2192662X
Language English
Publisher Springer London
Publisher Date 2013-10-02
Publisher Place London
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Adaptive diversity Social image retrieval Information Storage and Retrieval Data Mining and Knowledge Discovery Image Processing and Computer Vision Computer Science Diversification trade-off Information Systems Applications (incl. Internet) Multimedia Information Systems Optimization Ambiguity
Content Type Text
Resource Type Article
Subject Library and Information Sciences Information Systems Media Technology
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