Image coding based on maximum entropy partitioning for identifying improbable intensities related to facial expressions

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...

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Bibliographic Details
Published in:	Sadhana (Bangalore) Vol. 41; no. 12; pp. 1393 - 1406
Main Authors:	Susan, Seba, Aggarwal, Nandini, Chand, Shefali, Gupta, Ayush
Format:	Journal Article
Language:	English
Published:	New Delhi Springer India 01.12.2016 Springer Nature B.V
Subjects:	Emotions Engineering Entropy Forehead Image coding Information theory Maximum entropy Partitioning Widening Variable length coding entropy coding Shannon–Fano coding maximum entropy partitioning Huffman coding facial expression recognition non-extensive entropy with Gaussian gain
ISSN:	0256-2499, 0973-7677
Online Access:	Get full text
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