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Co-active intelligence for image retrieval

Published: 06 November 2005 Publication History

Abstract

Lexical ambiguity in query-based image retrieval is an immemorial problem which has seemingly resisted all countermeasures. In this paper we introduce a methodology that expresses the users of a system and their navigational behaviour as the paramount resource for resolving query term ambiguity. Mass user consensus is modelled within a multi-dimensional feature space and evaluated through cluster analysis. This technique resolves query term ambiguity in a wholly democratic and dynamic fashion, in contrast to the brittle centralised models of contemporary word sense classification systems. The simple approach contained herein leads to several interesting emergent properties.

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cover image ACM Conferences
MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia
November 2005
1110 pages
ISBN:1595930442
DOI:10.1145/1101149
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: 06 November 2005

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Author Tags

  1. IR
  2. clustering
  3. image retrieval
  4. word sense

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MM05

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MULTIMEDIA '05 Paper Acceptance Rate 49 of 312 submissions, 16%;
Overall Acceptance Rate 1,291 of 5,076 submissions, 25%

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Cited By

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  • (2017)Automatic Medical Image Multilingual Indexation Through a Medical Social NetworkPrediction and Inference from Social Networks and Social Media10.1007/978-3-319-51049-1_2(19-49)Online publication date: 18-Mar-2017
  • (2016)Automatic medical image multilingual annotation via a medical social networkNetwork Modeling Analysis in Health Informatics and Bioinformatics10.1007/s13721-016-0126-55:1Online publication date: 4-Jun-2016
  • (2015)Automatic medical image annotation on social network of physician collaborationNetwork Modeling Analysis in Health Informatics and Bioinformatics10.1007/s13721-015-0082-54:1Online publication date: 19-Jun-2015
  • (2013)Finding synonyms and other semantically-similar terms from coselection dataProceedings of the First Australasian Web Conference - Volume 14410.5555/2527208.2527213(35-42)Online publication date: 29-Jan-2013
  • (2012)A comparative survey of Personalised Information Retrieval and Adaptive Hypermedia techniquesInformation Processing and Management: an International Journal10.1016/j.ipm.2011.12.00448:4(698-724)Online publication date: 1-Jul-2012
  • (2012)Evaluating implicit judgments from image search clickthrough dataJournal of the American Society for Information Science and Technology10.1002/asi.2274263:12(2451-2462)Online publication date: 1-Dec-2012
  • (2011)Implicit association via crowd-sourced coselectionProceedings of the 22nd ACM conference on Hypertext and hypermedia10.1145/1995966.1995972(7-16)Online publication date: 6-Jun-2011
  • (2011)Automatic image semantic interpretation using social action and tagging dataMultimedia Tools and Applications10.1007/s11042-010-0650-851:1(213-246)Online publication date: 1-Jan-2011
  • (2009)Generating unambiguous URL clusters from web searchProceedings of the 2009 workshop on Web Search Click Data10.1145/1507509.1507514(28-34)Online publication date: 9-Feb-2009
  • (2009)Are Clickthroughs Useful for Image Labelling?Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 0110.1109/WI-IAT.2009.35(191-197)Online publication date: 15-Sep-2009
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