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Multiclass VisualRank: image ranking method in clustered subsets based on visual features

Published: 19 July 2009 Publication History

Abstract

This paper proposes Multiclass VisualRank, a method that expands the idea of VisualRank into more than one category of images. Multiclass VisualRank divides images retrieved from search engines into several categories based on distinctive patterns of visual features, and gives ranking within the category. Experimental results show that our method can extract several different image categories relevant to given keyword and gives good ranking scores to retrieved images.

References

[1]
S.Brin and L.Page. The anatomy of a large-scalehypertextual Web search engine. Computer Networks and ISDN Systems, 30(1--7):107--117, Apr. 1998.
[2]
Y.Jing and S.Baluja. VisualRank: Applying PageRank to large-scale image search. PAMI, 30(11):1877--1890, Nov. 2008.
[3]
D.G.Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91--110, 2004.
[4]
J.Shi and J.Malik. Normalized cuts and image segmentation. PAMI, 22(8):888--905, Aug. 2000.

Cited By

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  • (2016)MultiVCRank With Applications to Image RetrievalIEEE Transactions on Image Processing10.1109/TIP.2016.252229825:3(1396-1409)Online publication date: 1-Mar-2016
  • (2010)Shape rankProceedings of the international conference on Multimedia information retrieval10.1145/1743384.1743449(393-396)Online publication date: 29-Mar-2010

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  1. Multiclass VisualRank: image ranking method in clustered subsets based on visual features

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        cover image ACM Conferences
        SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
        July 2009
        896 pages
        ISBN:9781605584836
        DOI:10.1145/1571941

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 19 July 2009

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        Author Tags

        1. clustering
        2. ranking
        3. visual feature

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        Overall Acceptance Rate 792 of 3,983 submissions, 20%

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        View all
        • (2016)MultiVCRank With Applications to Image RetrievalIEEE Transactions on Image Processing10.1109/TIP.2016.252229825:3(1396-1409)Online publication date: 1-Mar-2016
        • (2010)Shape rankProceedings of the international conference on Multimedia information retrieval10.1145/1743384.1743449(393-396)Online publication date: 29-Mar-2010

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