Perceptually optimised coding of open signed video based on gaze prediction

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

doi:10.1049/el:20071901

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 journal › Article (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 contribution	Perceptually optimised coding of open signed video based on gaze prediction
Original language	English
Pages (from-to)	1135-1136
Number of pages	2
Journal	Electronics Letters
Volume	43
Issue number	21
DOIs	https://doi.org/10.1049/el:20071901
Publication status	Published - 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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ACADEMIC FELLOWSHIP RCUK
Piccini, A. A. (Principal Investigator)
1/02/05 → 1/02/10
Project: Research

Cite this

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title = "Perceptually optimised coding of open signed video based on gaze prediction",

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.",

author = "Davies, \{Sam J C\} and D Agrafiotis and CN Canagarajah and David Bull",

note = "Sponsorship: This work is funded by the British Broadcasting Corporation (BBC) Publisher: Institution of Electrical Engineers (IEE)",

year = "2007",

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doi = "10.1049/el:20071901",

language = "English",

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AU - Agrafiotis, D

AU - Canagarajah, CN

AU - Bull, David

N1 - Sponsorship: This work is funded by the British Broadcasting Corporation (BBC) Publisher: Institution of Electrical Engineers (IEE)

PY - 2007/10

Y1 - 2007/10

N2 - 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.

AB - 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.

U2 - 10.1049/el:20071901

DO - 10.1049/el:20071901

M3 - Article (Academic Journal)

SN - 0013-5194

VL - 43

SP - 1135

EP - 1136

JO - Electronics Letters

JF - Electronics Letters

IS - 21

ER -

Perceptually optimised coding of open signed video based on gaze prediction

Abstract

Bibliographical note

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ACADEMIC FELLOWSHIP RCUK

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