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Full-Reference SSIM Metric for Video Quality Assessment with Saliency-Based Features

  • Eduardo RomaniEmail author
  • Wyllian Bezerra da Silva
  • Keiko Verônica Ono Fonseca
  • Dubravko Culibrk
  • Alexandre de Almeida Prado Pohl
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9281)

Abstract

This paper uses models of visual attention in order to estimate the human visual perception and thus improve metrics of Video Quality Assessment. This work reports on the use of the saliency based model in a full-reference structural similarity metric for creating new metrics that take into account regions that greatly attract the human attention. Correlation results with the differential mean opinion score values from the LIVE Video Quality Database are presented and discussed.

Keywords

Video quality assessment Salient model Human visual system 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Eduardo Romani
    • 1
    Email author
  • Wyllian Bezerra da Silva
    • 2
  • Keiko Verônica Ono Fonseca
    • 1
  • Dubravko Culibrk
    • 3
  • Alexandre de Almeida Prado Pohl
    • 1
  1. 1.Graduate Program on Electrical and Computer Engineering (CPGEI), Federal Technological University–Paraná (UTFPR)CuritibaBrazil
  2. 2.Federal University of Santa Catarina – Santa Catarina (UFSC)FlorianópolisBrazil
  3. 3.Department of Industrial Engineering - Faculty of Technical SciencesUniversity of Novi SadNovi SadSerbia

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