An eye-tracking-based adaptive multimedia streaming scheme

  • Authors:
  • Gheorghita Ghinea;Gabriel-Miro Muntean

  • Affiliations:
  • School of Information Systems, Computing and Mathematics, Brunel University, United Kingdom;Performance Engineering Laboratory, School of Electronic Engineering, Dublin City University, Ireland

  • Venue:
  • ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
  • Year:
  • 2009

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Abstract

Traditionally, adaptive multimedia streaming schemes aim to adjust features such as bandwidth to respond to changing network conditions, in the hope that the user perceptual impact of any quality loss is, if not unnoticed, minimised. However, current solutions equally affect the whole viewing area of the multimedia flames, despite research showing that there are regions of the frame which are perceptually more relevant than others. This paper presents a novel eye-tracking-based adaptive schemei (ETAS) for multimedia streaming that performs transmiSsion-related quality adjustments by selectively degradilag the quality of those regions of the image the viewers are the least interested in, leaving perceptually relevant regions unchanged.