• Fulltext

       

        Click here to view fulltext PDF


      Permanent link:
      https://www.ias.ac.in/article/fulltext/sadh/041/12/1393-1406

    • Keywords

       

      Variable length coding; Huffman coding; Shannon–Fano coding; entropy coding; maximum entropy partitioning; facial expression recognition; non-extensive entropy with Gaussian gain

    • Abstract

       

      In this paper we investigate information-theoretic image coding techniques that assign longer codes to improbable, imprecise and non-distinct intensities in the image. The variable length coding techniques when applied to cropped facial images of subjects with different facial expressions, highlight the set of low probability intensities that characterize the facial expression such as the creases in the forehead, the widening of the eyes and the opening and closing of the mouth. A new coding scheme based on maximum entropy partitioning is proposed in our work, particularly to identify the improbable intensities related to different emotions. The improbable intensities when used as a mask decode the facial expression correctly, providing an effectiveplatform for future emotion categorization experiments

    • Author Affiliations

       

      SEBA SUSAN1 NANDINI AGGARWAL SHEFALI CHAND AYUSH GUPTA

      1. Department of Computer Science and Engineering, Delhi Technological University, Delhi 110042, India
    • Dates

       
  • Sadhana | News

    • Editorial Note on Continuous Article Publication

      Posted on July 25, 2019

      Click here for Editorial Note on CAP Mode

© 2017-2019 Indian Academy of Sciences, Bengaluru.