Incorporating real-valued multiple instance learning into relevance feedback for image retrieval

Xin Hunag, Shu Ching Chen, Mei Ling Shyu

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

10 Scopus citations

Abstract

This paper presents a content-based image retrieval (CBIR) system that incorporates real-valued multiple instance learning (MIL) into the user relevance feedback (RF) to learn the user's subjective visual concepts, especially where the user's most interested region and how to map the local feature vector of that region to the high-level concept pattern of the user. RF provides a way to obtain the subjectivity of the user's high-level visual concepts, and MIL enables the automatic learning of the user's high-level concepts. The user interacts with the CBIR system by relevance feedback in a way that the extent to which the image samples retrieved by the system are relevant to the user's intention is labeled. The system in turn applies the MIL method to find user's most interested image region from the feedback. A multilayer neural network that is trained progressively through the feedback and learning procedure is used to map the low-level image features to the high-level concepts.

Original languageEnglish (US)
Title of host publicationProceedings - 2003 International Conference on Multimedia and Expo, ICME
PublisherIEEE Computer Society
PagesI321-I324
ISBN (Electronic)0780379659
DOIs
StatePublished - Jan 1 2003
Event2003 International Conference on Multimedia and Expo, ICME 2003 - Baltimore, United States
Duration: Jul 6 2003Jul 9 2003

Publication series

NameProceedings - IEEE International Conference on Multimedia and Expo
Volume1
ISSN (Print)1945-7871
ISSN (Electronic)1945-788X

Other

Other2003 International Conference on Multimedia and Expo, ICME 2003
CountryUnited States
CityBaltimore
Period7/6/037/9/03

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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  • Cite this

    Hunag, X., Chen, S. C., & Shyu, M. L. (2003). Incorporating real-valued multiple instance learning into relevance feedback for image retrieval. In Proceedings - 2003 International Conference on Multimedia and Expo, ICME (pp. I321-I324). [1220919] (Proceedings - IEEE International Conference on Multimedia and Expo; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/ICME.2003.1220919