Image classification and indexing by EM based multiple-instance learning

Hsiao-Tien Pao*, Y. Y. Xu, S. C. Chuang, H. C. Ri

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose an EM based Multiple-Instance learning algorithm for the image classification and indexing. To learn a desired image class, a set of exemplar images are selected by a user. Each example is labeled as conceptual related (positive) or conceptual unrelated (negative) image. A positive image consists of at least one user interested object, and a negative example should not contain any user interested object. By using the proposed learning algorithm, an image classification system can learn the user's preferred image class from the positive and negative examples. We have built a prototype system to retrieve user desired images. The experimental results show that for only a few times of relearning, a user can use the prototype system to retrieve favor images from the WWW over Internet.

Original languageEnglish
Title of host publicationAdvances in Visual Information Systems - 9th International Conference, VISUAL 2007, Revised Selected Papers
Pages146-153
Number of pages8
DOIs
StatePublished - 1 Dec 2007
Event9th International Conference on Visual Information Systems, VISUAL 2007 - Shanghai, China
Duration: 28 Jun 200729 Jun 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4781 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Visual Information Systems, VISUAL 2007
CountryChina
CityShanghai
Period28/06/0729/06/07

Keywords

  • Image retrieve
  • Multiple-instance learning
  • WWW

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  • Cite this

    Pao, H-T., Xu, Y. Y., Chuang, S. C., & Ri, H. C. (2007). Image classification and indexing by EM based multiple-instance learning. In Advances in Visual Information Systems - 9th International Conference, VISUAL 2007, Revised Selected Papers (pp. 146-153). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4781 LNCS). https://doi.org/10.1007/978-3-540-76414-4_15