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Explicit query formulation with visual keywords

Published: 30 October 2000 Publication History

Abstract

This paper presents a novel framework called visual keywords for indexing and retrieving digital images. Visual keywords are flexible and intuitive visual prototypes with semantics. A new query method based on visual constraints allows direct and explicit content specification. Last but not least, we have developed a digital album prototype to demonstrate query and retrieval based on visual keywords.

References

[1]
Carson, C. et al. (1999). Color- and texture-based image segmentation using EM and its application to image query and classification. Submitted to IEEE Tran. PAMI.
[2]
Niblack, W. et al. (1993). The QBIC project: querying images by content using color, textures and shapes. In Storage and Retrieval for Image and Video Databases, Proc. SPIE 1908, pp. 13-25.
[3]
Picard, R.W. (1995). Toward a Visual Thesaurus. In Proc. of Springer- Verlag Workshops in Computing, MIRO'96, Glasgow, Sep. 1996.

Cited By

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  • (2016)A soft image representation approach by exploiting local neighborhood structure of self-organizing map (SOM)Soft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-015-1675-820:7(2759-2769)Online publication date: 1-Jul-2016
  • (2009)Effective Image Mining by Representing Color Histograms as Time SeriesJournal of Advanced Computational Intelligence and Intelligent Informatics10.20965/jaciii.2009.p010913:2(109-114)Online publication date: 20-Mar-2009
  • (2009)A unified image retrieval framework on local visual and semantic concept-based feature spacesJournal of Visual Communication and Image Representation10.1016/j.jvcir.2009.06.00120:7(450-462)Online publication date: 1-Oct-2009
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cover image ACM Conferences
MULTIMEDIA '00: Proceedings of the eighth ACM international conference on Multimedia
October 2000
523 pages
ISBN:1581131984
DOI:10.1145/354384
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: 30 October 2000

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MM00: ACM Multimedia 2000
California, Marina del Rey, USA

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

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Cited By

View all
  • (2016)A soft image representation approach by exploiting local neighborhood structure of self-organizing map (SOM)Soft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-015-1675-820:7(2759-2769)Online publication date: 1-Jul-2016
  • (2009)Effective Image Mining by Representing Color Histograms as Time SeriesJournal of Advanced Computational Intelligence and Intelligent Informatics10.20965/jaciii.2009.p010913:2(109-114)Online publication date: 20-Mar-2009
  • (2009)A unified image retrieval framework on local visual and semantic concept-based feature spacesJournal of Visual Communication and Image Representation10.1016/j.jvcir.2009.06.00120:7(450-462)Online publication date: 1-Oct-2009
  • (2009)An operational model based on knowledge representation for querying the image content with concepts and relationsMultimedia Tools and Applications10.1007/s11042-008-0254-843:1(1-23)Online publication date: 1-May-2009
  • (2008)Multiple keywords assignment to images using SVM2008 International Conference on Machine Learning and Cybernetics10.1109/ICMLC.2008.4620841(2569-2573)Online publication date: Jul-2008
  • (2007)A conceptual framework for automatic text-based indexing and retrieval in digital video collectionsProceedings of the 18th international conference on Database and Expert Systems Applications10.5555/2395856.2395907(392-403)Online publication date: 3-Sep-2007
  • (2007)Visual Taxonomy for Professional Image Retrieval and Automated Annotation of Images2007 International Workshop on Content-Based Multimedia Indexing10.1109/CBMI.2007.385409(181-185)Online publication date: Jun-2007
  • (2007)A Conceptual Framework for Automatic Text-Based Indexing and Retrieval in Digital Video CollectionsDatabase and Expert Systems Applications10.1007/978-3-540-74469-6_39(392-403)Online publication date: 2007
  • (2006)Visual Keyword-based Image Retrieval using Latent Semantic Indexing, Correlation-enhanced Similarity Matching and Query Expansion in Inverted IndexProceedings of the 10th International Database Engineering and Applications Symposium10.1109/IDEAS.2006.50(201-208)Online publication date: 11-Dec-2006
  • (2005)A symbolic query-by-example framework for the image retrieval signal/semantic integration17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)10.1109/ICTAI.2005.19(8 pp.-355)Online publication date: 2005
  • Show More Cited By

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