Large Scale Near-Duplicate Celebrity Web Images Retrieval Using Visual and Textual Features
Joint Authors
Qiao, Fengcai
Wang, Cheng
Zhang, Xin
Wang, Hui
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-14
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Near-duplicate image retrieval is a classical research problem in computer vision toward many applications such as image annotation and content-based image retrieval.
On the web, near-duplication is more prevalent in queries for celebrities and historical figures which are of particular interest to the end users.
Existing methods such as bag-of-visual-words (BoVW) solve this problem mainly by exploiting purely visual features.
To overcome this limitation, this paper proposes a novel text-based data-driven reranking framework, which utilizes textual features and is combined with state-of-art BoVW schemes.
Under this framework, the input of the retrieval procedure is still only a query image.
To verify the proposed approach, a dataset of 2 million images of 1089 different celebrities together with their accompanying texts is constructed.
In addition, we comprehensively analyze the different categories of near duplication observed in our constructed dataset.
Experimental results on this dataset show that the proposed framework can achieve higher mean average precision (mAP) with an improvement of 21% on average in comparison with the approaches based only on visual features, while does not notably prolong the retrieval time.
American Psychological Association (APA)
Qiao, Fengcai& Wang, Cheng& Zhang, Xin& Wang, Hui. 2013. Large Scale Near-Duplicate Celebrity Web Images Retrieval Using Visual and Textual Features. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1033314
Modern Language Association (MLA)
Qiao, Fengcai…[et al.]. Large Scale Near-Duplicate Celebrity Web Images Retrieval Using Visual and Textual Features. The Scientific World Journal No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1033314
American Medical Association (AMA)
Qiao, Fengcai& Wang, Cheng& Zhang, Xin& Wang, Hui. Large Scale Near-Duplicate Celebrity Web Images Retrieval Using Visual and Textual Features. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1033314
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033314