Perceptually optimised coding of open signed video based on gaze prediction

Sam J C Davies, D Agrafiotis, CN Canagarajah, David Bull

Research output: Contribution to journalArticle (Academic Journal)peer-review

2 Citations (Scopus)

Abstract

A gaze location prediction model is presented for open signed broadcast video based on actual eye tracking data with fluent British sign language users. The model is used for formulating a variable quality coding approach of such video which is shown to be capable of offering up to 30% reduction in bit rate with little or no discernible effect on the understanding or viewing experience, as suggested by the results of a subjective evaluation by sign language viewers.
Translated title of the contributionPerceptually optimised coding of open signed video based on gaze prediction
Original languageEnglish
Pages (from-to)1135-1136
Number of pages2
JournalElectronics Letters
Volume43
Issue number21
DOIs
Publication statusPublished - Oct 2007

Bibliographical note

Sponsorship: This work is funded by the British Broadcasting Corporation (BBC)

Publisher: Institution of Electrical Engineers (IEE)

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