Article

ImprovingWeb-based Image Search via Content Based Clustering

Authors:

Nadav Ben-Haim,

Boris Babenko,

Serge BelongieAuthors Info & Claims

CVPRW '06: Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop

Page 106

https://doi.org/10.1109/CVPRW.2006.100

Published: 17 June 2006 Publication History

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Abstract

Current image search engines on the web rely purely on the keywords around the images and the filenames, which produces a lot of garbage in the search results. Alternatively, there exist methods for content based image retrieval that require a user to submit a query image, and return images that are similar in content. We propose a novel approach named ReSPEC (Re-ranking Sets of Pictures by Exploiting Consistency), that is a hybrid of the two methods. Our algorithm first retrieves the results of a keyword query from an existing image search engine, clusters the results based on extracted image features, and returns the cluster that is inferred to be the most relevant to the search query. Furthermore, it ranks the remaining results in order of relevance.

Cited By

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Angelov PSadeghi-Tehran P(2018)Look-a-LikeInternational Journal of Intelligent Systems10.1002/int.2183732:1(82-103)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.1002/int.21837
Ko EKim EYu YPapadopoulos GKuflik TChen FDuarte CFu W(2017)Summarizing Social Image Search Results using Human AffectsCompanion Proceedings of the 22nd International Conference on Intelligent User Interfaces10.1145/3030024.3038274(101-104)Online publication date: 7-Mar-2017
https://dl.acm.org/doi/10.1145/3030024.3038274
Akyüz AKaya O(2016)A Proposed Methodology for Evaluating HDR False Color MapsACM Transactions on Applied Perception (TAP)10.1145/291198614:1(1-18)Online publication date: 19-Jul-2016
https://dl.acm.org/doi/10.1145/2911986
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Index Terms

ImprovingWeb-based Image Search via Content Based Clustering
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
  2. Computer graphics
    1. Image manipulation
2. Information systems
  1. Information retrieval
  2. Information systems applications
    1. Data mining
      1. Clustering

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Published In

CVPRW '06: Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop

June 2006

ISBN:0769526462

Publisher

IEEE Computer Society

United States

Publication History

Published: 17 June 2006

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Angelov PSadeghi-Tehran P(2018)Look-a-LikeInternational Journal of Intelligent Systems10.1002/int.2183732:1(82-103)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.1002/int.21837
Ko EKim EYu YPapadopoulos GKuflik TChen FDuarte CFu W(2017)Summarizing Social Image Search Results using Human AffectsCompanion Proceedings of the 22nd International Conference on Intelligent User Interfaces10.1145/3030024.3038274(101-104)Online publication date: 7-Mar-2017
https://dl.acm.org/doi/10.1145/3030024.3038274
Akyüz AKaya O(2016)A Proposed Methodology for Evaluating HDR False Color MapsACM Transactions on Applied Perception (TAP)10.1145/291198614:1(1-18)Online publication date: 19-Jul-2016
https://dl.acm.org/doi/10.1145/2911986
Cui PLiu SZhu WLuan HChua TYang S(2014)Social-Sensed Image SearchACM Transactions on Information Systems10.1145/259097432:2(1-23)Online publication date: 1-Apr-2014
https://dl.acm.org/doi/10.1145/2590974
Voravuthikunchai WCrémilleux BJurie FKankanhalli MRueger SManmatha RJose Jvan Rijsbergen K(2014)Image re-ranking based on statistics of frequent patternsProceedings of International Conference on Multimedia Retrieval10.1145/2578726.2578743(129-136)Online publication date: 1-Apr-2014
https://dl.acm.org/doi/10.1145/2578726.2578743
Mei TRui YLi STian Q(2014)Multimedia search rerankingACM Computing Surveys10.1145/253679846:3(1-38)Online publication date: 1-Jan-2014
https://dl.acm.org/doi/10.1145/2536798
Akyüz AHadimli KAydinlilar MBloch CChen BSharf A(2013)Style-based tone mapping for HDR imagesSIGGRAPH Asia 2013 Technical Briefs10.1145/2542355.2542384(1-4)Online publication date: 19-Nov-2013
https://dl.acm.org/doi/10.1145/2542355.2542384
Peng JShen YFan J(2013)Cross-modal social image clustering and tag cleansingJournal of Visual Communication and Image Representation10.1016/j.jvcir.2013.06.00424:7(895-910)Online publication date: 1-Oct-2013
https://dl.acm.org/doi/10.1016/j.jvcir.2013.06.004
Jain VVarma MSadagopan SRamamritham KKumar ARavindra MBertino EKumar R(2011)Learning to re-rankProceedings of the 20th international conference on World wide web10.1145/1963405.1963447(277-286)Online publication date: 28-Mar-2011
https://dl.acm.org/doi/10.1145/1963405.1963447
Zhang LLi PMa JLi SGao XSebe N(2010)A hybrid unsupervised image re-ranking approach with latent topic contentsProceedings of the ACM International Conference on Image and Video Retrieval10.1145/1816041.1816088(319-326)Online publication date: 5-Jul-2010
https://dl.acm.org/doi/10.1145/1816041.1816088
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Content-Based re-ranking of text-based image search results

Prototype-Based Image Search Reranking

Image Query Based Search Engine Using Image Content Retrieval

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