An Approach to Video Compression Using Saliency Based Foveation

This research aims to increase quality of experience for video consumers by introducing an approach with saliency-based video foveation coupled with compression algorithm. This approach uses eye tracking information to build the saliency map and allows multiple usage scenarios. The approach can be u...

Full description

Saved in:
Bibliographic Details
Published in2018 International Symposium ELMAR pp. 169 - 172
Main Authors Polakovic, Adam, Vargic, Radoslav, Rozinaj, Gregor, Muntean, Gabriel-Miro
Format Conference Proceeding
LanguageEnglish
Published Croatian Society Electronics in Marine - ELMAR 01.09.2018
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:This research aims to increase quality of experience for video consumers by introducing an approach with saliency-based video foveation coupled with compression algorithm. This approach uses eye tracking information to build the saliency map and allows multiple usage scenarios. The approach can be used in single or multiple viewer environments. We evaluate the approach and provide results based on subjective measurements. The results confirm that the proposed approach for video compression is competitive and can deliver better quality of experience than standard video compression algorithms.
ISBN:9531842442
9789531842440
DOI:10.23919/ELMAR.2018.8534631