Image annotation fusing content-based and tag-based technique using support vector machine and vector space model

Shan Bin Chan, Hayato Yamana, Duy Dinh Le, Shinichi Satoh

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

    1 Citation (Scopus)

    Abstract

    In this paper, we propose a new image annotation method by combining content-based image annotation and tag-based image annotation techniques. Content-based image annotation technique is adopted to extract 'loosely defined concepts' by analyzing pre-given images' features such as color moment (CM), edge orientation histogram (EOH), and local binary pattern (LBP), followed by constructing a set of SVMs for 100 loosely defined concepts. A base-vector for each concept, similar to tag-based image annotation technique, is then constructed by using SVMs' predicted probabilistic results for sample-images whose main concepts are known. Finally cosine similarity between a query-image vector and the base vector is calculated for each concept. Experimental results show that our proposed method outperforms content-based image annotation technique by about 23% in accuracy.

    Original languageEnglish
    Title of host publicationProceedings - 10th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages272-276
    Number of pages5
    ISBN (Electronic)9781479979783
    DOIs
    Publication statusPublished - 2014
    Event10th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2014 - Marrakech, Morocco
    Duration: 2014 Nov 232014 Nov 27

    Other

    Other10th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2014
    CountryMorocco
    CityMarrakech
    Period14/11/2314/11/27

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    Keywords

    • image annotation
    • support vector machine
    • vector space model

    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Signal Processing
    • Computer Networks and Communications

    Cite this

    Chan, S. B., Yamana, H., Le, D. D., & Satoh, S. (2014). Image annotation fusing content-based and tag-based technique using support vector machine and vector space model. In Proceedings - 10th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2014 (pp. 272-276). [7081558] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SITIS.2014.76