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Auto-generation of topic hierarchies for web images from users' perspectives

Published: 03 November 2003 Publication History

Abstract

In this paper, we propose an approach to automatically generating a Yahoo!-like topic hierarchy for organizing Web images from users' perspectives. Relatively little effort has been devoted towards providing such a taxonomy simultaneously considering users' image requests for semantic and visual information. Based on the characteristic that a Web-image query may be refined by various attributes, the proposed approach hierarchically groups similar queries from search engine logs into topic classes at different semantic levels. The generated topic hierarchy has the advantages of organizing image data from users' perspectives for browsing, searching, annotation and users' needs analysis.A series of experiments have been conducted on real-world image search engine logs. Experimental results show that the proposed approach is feasible to generate topic hierarchies for Web images. Moreover, the generated hierarchy has been successfully applied to analysis of users' search interests, which have more focuses on some specific domains when compared with document requests.

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Cited By

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  • (2009)Exploiting Domain Knowledge by Automated Taxonomy Generation in Recommender SystemsProceedings of the 10th International Conference on E-Commerce and Web Technologies10.1007/978-3-642-03964-5_12(120-131)Online publication date: 3-Sep-2009
  • (2008)Labeling Nodes of Automatically Generated Taxonomy for Multi-type Relational DatasetsProceedings of the 10th international conference on Data Warehousing and Knowledge Discovery10.1007/978-3-540-85836-2_30(317-326)Online publication date: 2-Sep-2008
  • (2006)CoMMA: a framework for integrated multimedia mining using multi-relational associationsKnowledge and Information Systems10.1007/s10115-005-0221-x10:2(135-162)Online publication date: 14-Aug-2006
  • Show More Cited By

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cover image ACM Conferences
CIKM '03: Proceedings of the twelfth international conference on Information and knowledge management
November 2003
592 pages
ISBN:1581137230
DOI:10.1145/956863
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: 03 November 2003

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Author Tags

  1. image classification
  2. query clustering
  3. topic hierarchy

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Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Cited By

View all
  • (2009)Exploiting Domain Knowledge by Automated Taxonomy Generation in Recommender SystemsProceedings of the 10th International Conference on E-Commerce and Web Technologies10.1007/978-3-642-03964-5_12(120-131)Online publication date: 3-Sep-2009
  • (2008)Labeling Nodes of Automatically Generated Taxonomy for Multi-type Relational DatasetsProceedings of the 10th international conference on Data Warehousing and Knowledge Discovery10.1007/978-3-540-85836-2_30(317-326)Online publication date: 2-Sep-2008
  • (2006)CoMMA: a framework for integrated multimedia mining using multi-relational associationsKnowledge and Information Systems10.1007/s10115-005-0221-x10:2(135-162)Online publication date: 14-Aug-2006
  • (2004)Effective image annotation for searches using multilevel semanticsInternational Journal on Digital Libraries10.1007/s00799-004-0090-z4:4(258-271)Online publication date: 1-Nov-2004

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