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Searching and browsing large scale image database using keywords and ontology

Published: 23 October 2006 Publication History

Abstract

Automatic image annotation is a promising solution to enable keyword-based semantic image retrieval. In this demo, we present our image search engine I-Search implemented using a multi-level semantic image annotation algorithm. By incorporating a domain-specific ontology into the autogenerated annotations, we are able to organize large scale natural image databases into hierarchical structures for browsing and keyword-based searching without referring to external text information.

References

[1]
Google image search engine, http://images.google.com
[2]
C. Fellbaum, WordNet: An Electronic Lexical Database MIT Press, 1998.
[3]
J. Fan, Y. Gao, H. Luo, "Multi-level annotation of natural scenes using dominant image components and semantic image concepts", ACM Multimedia, 2004.
[4]
Y. Gao, J. Fan, "Incorporating Concept Ontology for Hierarchical Classifier Training and Multi-Level Image Annotation", ACM SIGMM International Workshop on Multimedia Information Retrieval,2006.

Cited By

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  • (2009)Designing Novel Image Search Interfaces by Understanding Unique Characteristics and UsageProceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II10.1007/978-3-642-03658-3_40(340-353)Online publication date: 20-Aug-2009
  • (2007)SemRetrievProceedings of the 6th ACM international conference on Image and video retrieval10.1145/1282280.1282299(113-116)Online publication date: 9-Jul-2007

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cover image ACM Conferences
MM '06: Proceedings of the 14th ACM international conference on Multimedia
October 2006
1072 pages
ISBN:1595934472
DOI:10.1145/1180639
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 October 2006

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Author Tags

  1. annotation
  2. multi-level image
  3. ontology
  4. salient object detection

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MM06
MM06: The 14th ACM International Conference on Multimedia 2006
October 23 - 27, 2006
CA, Santa Barbara, USA

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

View all
  • (2009)Designing Novel Image Search Interfaces by Understanding Unique Characteristics and UsageProceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II10.1007/978-3-642-03658-3_40(340-353)Online publication date: 20-Aug-2009
  • (2007)SemRetrievProceedings of the 6th ACM international conference on Image and video retrieval10.1145/1282280.1282299(113-116)Online publication date: 9-Jul-2007

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