skip to main content
10.1145/1135777.1135946acmconferencesArticle/Chapter ViewAbstractPublication PagesthewebconfConference Proceedingsconference-collections
Article

Finding visual concepts by web image mining

Published: 23 May 2006 Publication History

Abstract

We propose measuring "visualness" of concepts with images on the Web, that is, what extent concepts have visual characteristics. This is a new application of "Web image mining". To know which concept has visually discriminative power is important for image recognition, since not all concepts are related to visual contents. Mining image data on the Web with our method enables it. Our method performs probabilistic region selection for images and computes an entropy measure which represents "visualness" of concepts. In the experiments, we collected about forty thousand images from the Web for 150 concepts. We examined which concepts are suitable for annotation of image contents.

References

[1]
K. Barnard, P. Duygulu, N. de Freitas, D. Forsyth, D. Blei, and M. Jordan. Matching words and pictures. Journal of Machine Learning Research, 3:1107--1135, 2003.
[2]
K. Yanai. Generic image classification using visual knowledge on the web. In Proc. of ACM International Conference on Multimedia 2003, pages 67--76, 2003.
[3]
K. Yanai. Web image mining toward generic image recognition. In Proc. of the Twelfth International World Wide Web Conference, 2003.
[4]
K. Yanai and K. Barnard. Image region entropy: A measure of "visualness" of web images associated with one concept. In Proc. of ACM International Conference on Multimedia 2005, pages 420--423, 2005.

Cited By

View all
  • (2013)BabyTalkIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2012.16235:12(2891-2903)Online publication date: 1-Dec-2013
  • (2011)Web Image and Video Mining Towards Universal and Robust Age EstimatorIEEE Transactions on Multimedia10.1109/TMM.2011.216731713:6(1217-1229)Online publication date: 1-Dec-2011
  • (2010)Correlated multi-label refinement for semantic noise removalProceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing10.5555/1881227.1881274(309-316)Online publication date: 18-Aug-2010
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
WWW '06: Proceedings of the 15th international conference on World Wide Web
May 2006
1102 pages
ISBN:1595933239
DOI:10.1145/1135777
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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 May 2006

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. image recognition
  2. probabilistic method
  3. web image mining

Qualifiers

  • Article

Conference

WWW06
Sponsor:

Acceptance Rates

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)1
  • Downloads (Last 6 weeks)0
Reflects downloads up to 17 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2013)BabyTalkIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2012.16235:12(2891-2903)Online publication date: 1-Dec-2013
  • (2011)Web Image and Video Mining Towards Universal and Robust Age EstimatorIEEE Transactions on Multimedia10.1109/TMM.2011.216731713:6(1217-1229)Online publication date: 1-Dec-2011
  • (2010)Correlated multi-label refinement for semantic noise removalProceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing10.5555/1881227.1881274(309-316)Online publication date: 18-Aug-2010
  • (2010)Mining visual web knowledge utilizing multiple classifier architecture2010 10th International Conference on Intelligent Systems Design and Applications10.1109/ISDA.2010.5687198(598-603)Online publication date: Nov-2010
  • (2010)Content based video retrieval using entropy, edge detection, black and white color features2010 2nd International Conference on Computer Engineering and Technology10.1109/ICCET.2010.5486262(V6-272-V6-276)Online publication date: Apr-2010
  • (2009)Web image mining towards universal age estimatorProceedings of the 17th ACM international conference on Multimedia10.1145/1631272.1631287(85-94)Online publication date: 23-Oct-2009
  • (2008)Measuring semantic similarity between concepts in visual domain2008 IEEE 10th Workshop on Multimedia Signal Processing10.1109/MMSP.2008.4665152(628-633)Online publication date: Oct-2008

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media