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Cognitive Semantic Model for Visual Object Recognition in Image

  • Conference paper
Multimedia and Signal Processing (CMSP 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 346))

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Abstract

The paper presents a hierarchical semantic model to perform object recognition in 2D images using cognitive neuroscience vision process. The proposed model contains two vital parts: Object-Features (OF) Conceptualization and Concept Recognition (CR). The model facilitates combination of multiple visual descriptors in the OF conceptualization and the CR process. The model comprises four major operation layers: Image Components Extraction (IE Layer), Visual Content Extraction (CE Layer), Visual Content Matching (CM Layer) and Object Recognition (OR Layer), arranged hierarchically from bottom (IE Layer) to top (OR Layer). The OR layer incorporates Multi-Level Thresholds technique, which defines various threshold values to control and finalize CR process. The experiments performed involved two types of visual descriptors: Color and Edge Directivity Descriptor (CEDD) and Fuzzy Color and Texture Histogram (FCTH). They were carried out using 9 set of images dataset. Different threshold values were tested to validate the feasibility and accuracy of the proposed model. Intensive empirical assessment has been performed and the results are promising.

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Author information

Authors and Affiliations

  1. Artificial Intelligence Center, MIMOS Berhad, Technology Park Malaysia,Bukit Jalil, Kuala Lumpur, Malaysia

    Sieow Yeek Tan & Dickson Lukose

Authors
  1. Sieow Yeek Tan
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  2. Dickson Lukose
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Editor information

Editors and Affiliations

  1. Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

  2. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  3. Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China

    Rynson W. H. Lau

  4. Department of Electrical and Computer Systems Engineering, Monash University, P.O. Box 35, 3800, Clayton, VIC, Australia

    Jingxin Zhang

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© 2012 Springer-Verlag Berlin Heidelberg

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Tan, S.Y., Lukose, D. (2012). Cognitive Semantic Model for Visual Object Recognition in Image. In: Wang, F.L., Lei, J., Lau, R.W.H., Zhang, J. (eds) Multimedia and Signal Processing. CMSP 2012. Communications in Computer and Information Science, vol 346. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35286-7_10

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  • DOI: https://doi.org/10.1007/978-3-642-35286-7_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35285-0

  • Online ISBN: 978-3-642-35286-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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