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WISA: a novel web image semantic analysis system

Published: 20 July 2008 Publication History

Abstract

We present a novel Web Image Semantic Analysis (WISA) system, which explores the problem of adaptively modeling the distributions of the semantic labels of the web image on its surrounding text. To deal with this problem, we employ a new piecewise penalty weighted regression model to learn the weights of the contributions of the different parts of the surrounding text to the semantic labels of images. Experimental results on a real web image data set show that it can improve the performance of web image semantic annotation significantly.

References

[1]
H.M. Sanderson, M.D. Dunlop. Image Retrieval by Hypertext Links. SIGIR'97.
[2]
V.S. Tseng, J.H. Su, B.W. Wang, Y.M. Lin. Web Image Annotation by Fusing Visual Features and Textual Information. In SAC'07.
[3]
X. Li, L. Chen, L. Zhang,F. Lin, and W.Y. Ma. Image Annotation by Large-scale Content-based Image Retrieval. MM'06
[4]
X.Zhou, M. Wang, Q. Zhang, J. Zhang, B.Shi. Automatic Image Annotation By An Iterative Approach: incorporating Keyword Correlations And Region Matching. CIVR'07.
[5]
V. Lavrenko and R. Manmatha and J. Jeon. A Model for Learning the Semantics of Pictures. NIPS'04.

Cited By

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  • (2009)Exploring Flickr's related tags for semantic annotation of web imagesProceedings of the ACM International Conference on Image and Video Retrieval10.1145/1646396.1646450(1-8)Online publication date: 8-Jul-2009
  • (2009)Automatic Web Image Annotation via Web-Scale Image Semantic Space LearningProceedings of the Joint International Conferences on Advances in Data and Web Management10.1007/978-3-642-00672-2_20(211-222)Online publication date: 22-Mar-2009

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cover image ACM Conferences
SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
July 2008
934 pages
ISBN:9781605581644
DOI:10.1145/1390334
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: 20 July 2008

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Author Tags

  1. image semantic annotation
  2. regression model
  3. web multimedia management

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

View all
  • (2009)Exploring Flickr's related tags for semantic annotation of web imagesProceedings of the ACM International Conference on Image and Video Retrieval10.1145/1646396.1646450(1-8)Online publication date: 8-Jul-2009
  • (2009)Automatic Web Image Annotation via Web-Scale Image Semantic Space LearningProceedings of the Joint International Conferences on Advances in Data and Web Management10.1007/978-3-642-00672-2_20(211-222)Online publication date: 22-Mar-2009

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