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High-dimensional visual vocabularies for image retrieval

Published: 23 July 2007 Publication History

Abstract

In this paper we formulate image retrieval by text query as a vector space classification problem. This is achieved by creating a high-dimensional visual vocabulary that represents the image documents in great detail. We show how the representation of these image documents enables the application of well known text retrieval techniques such as Rocchio tf-idf and naíve Bayes to the semantic image retrieval problem. We tested these methods on a Corel images subset and achieve state-of-the-art retrieval performance using the proposed methods.

References

[1]
P. Duygulu, K. Barnard, N. de Freitas, D. Forsyth, "Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary," ECCV, Copenhagen, Denmark, 2002.
[2]
T. Joachims, "A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization," ICML, Nashville, US, 1997.
[3]
V. Lavrenko, R. Manmatha, J. Jeon, "A model for learning the semantics of pictures," NIPS, Vancouver, Canada, 2003.
[4]
J. Magalhães, S. Rüger, "Logistic regression of generic codebooks for semantic image retrieval," CIVR Phoenix, AZ, USA, 2006.
[5]
A. McCallum, K. Nigam, "A comparison of event models for naive Bayes text classification," AAAI Workshop on Learning for Text Categorization, 1998.
[6]
J. Rocchio, "Relevance feedback in information retrieval," in The SMART Retrieval System: Experiments in Automatic Text Retrieval, G. Salton, Ed.: Prentice-Hall, 1971, pp. 313--323.

Cited By

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  • (2018)QUESGEN: A Framework for Automatic Question Generation Using Semantic Web and Lexical DatabasesFrontiers of Cyberlearning10.1007/978-981-13-0650-1_4(69-89)Online publication date: 4-Nov-2018
  • (2017)Balancing search space partitions by sparse coding for distributed redundant media indexing and retrievalInternational Journal of Multimedia Information Retrieval10.1007/s13735-017-0140-07:1(57-70)Online publication date: 18-Nov-2017
  • (2009)3D object retrieval based on visual keywords using Relative Angle Context Distribution2009 10th Workshop on Image Analysis for Multimedia Interactive Services10.1109/WIAMIS.2009.5031479(246-249)Online publication date: May-2009
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Published In

cover image ACM Conferences
SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
July 2007
946 pages
ISBN:9781595935977
DOI:10.1145/1277741
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 July 2007

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Author Tags

  1. semantic image indexing
  2. vector space model

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SIGIR07
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SIGIR07: The 30th Annual International SIGIR Conference
July 23 - 27, 2007
Amsterdam, The Netherlands

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

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Cited By

View all
  • (2018)QUESGEN: A Framework for Automatic Question Generation Using Semantic Web and Lexical DatabasesFrontiers of Cyberlearning10.1007/978-981-13-0650-1_4(69-89)Online publication date: 4-Nov-2018
  • (2017)Balancing search space partitions by sparse coding for distributed redundant media indexing and retrievalInternational Journal of Multimedia Information Retrieval10.1007/s13735-017-0140-07:1(57-70)Online publication date: 18-Nov-2017
  • (2009)3D object retrieval based on visual keywords using Relative Angle Context Distribution2009 10th Workshop on Image Analysis for Multimedia Interactive Services10.1109/WIAMIS.2009.5031479(246-249)Online publication date: May-2009
  • (2008)Exploring multimedia in a keyword spaceProceedings of the 16th ACM international conference on Multimedia10.1145/1459359.1459374(101-110)Online publication date: 26-Oct-2008
  • (2008)Can Social Tagging Improve Web Image Search?Proceedings of the 9th international conference on Web Information Systems Engineering10.1007/978-3-540-85481-4_19(235-249)Online publication date: 1-Sep-2008
  • (2007)Information-theoretic semantic multimedia indexingProceedings of the 6th ACM international conference on Image and video retrieval10.1145/1282280.1282368(619-626)Online publication date: 9-Jul-2007

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