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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Vydané v:	Sadhana (Bangalore) Ročník 41; číslo 12; s. 1393 - 1406
Hlavní autori:	Susan, Seba, Aggarwal, Nandini, Chand, Shefali, Gupta, Ayush
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New Delhi Springer India 01.12.2016 Springer Nature B.V
Predmet:	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
On-line prístup:	Získať plný text
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