A lazy processing approach to user relevance feedback for content-based image retrieval

Sirikunya Nilpanich, Kien A. Hua, Antoniya Petkova, Yao H. Ho

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

7 Citations (Scopus)

Abstract

User Relevance feedback techniques based on learning methods such as Artificial Neural Networks and kernel machines have been widely used in content-based image retrieval. However, the traditional relevance feedback framework for existing techniques still suffers from: (1) high learning cost incurs substantial delay in responding to user relevance feedback; (2) the classifiers may be biased when the negative feedback samples out-number the positive feedback samples; and (3) The high feature dimensions compared to the size of the training set causes over fitting. We propose a new relevance feedback approach based on a lazy processing framework. This approach combines random sampling, data clustering, and ensembles of local classifiers to address the aforementioned problems. Our experimental studies show that the proposed framework provides a responsive user feedback environment that is capable of outperforming the traditional approach.

Original languageEnglish
Title of host publicationProceedings - 2010 IEEE International Symposium on Multimedia, ISM 2010
Pages342-346
Number of pages5
DOIs
Publication statusPublished - 2010 Dec 1
Event2010 IEEE International Symposium on Multimedia, ISM 2010 - Taichung, Taiwan
Duration: 2010 Dec 132010 Dec 15

Publication series

NameProceedings - 2010 IEEE International Symposium on Multimedia, ISM 2010

Other

Other2010 IEEE International Symposium on Multimedia, ISM 2010
CountryTaiwan
CityTaichung
Period10/12/1310/12/15

Keywords

  • Content-based image retrieval
  • Machine learning
  • Relevance feedback

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

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    Nilpanich, S., Hua, K. A., Petkova, A., & Ho, Y. H. (2010). A lazy processing approach to user relevance feedback for content-based image retrieval. In Proceedings - 2010 IEEE International Symposium on Multimedia, ISM 2010 (pp. 342-346). [5693864] (Proceedings - 2010 IEEE International Symposium on Multimedia, ISM 2010). https://doi.org/10.1109/ISM.2010.58