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Gaze tracking for region of interest coding in JPEG 2000

Nguyen, Anthony, Chandran, Vinod, & Sridharan, Sridha (2006) Gaze tracking for region of interest coding in JPEG 2000. Signal Processing: Image Communication, 21(5), pp. 359-377.

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Abstract

Current image coding systems such as JPEG are far away from the capability of the human perceptual system in that the encoding may not maximise the reconstruction quality of image contents. Humans are often concerned with the interpretability of the image and thus enhanced reconstruction quality in image contents would facilitate improved recognition performance. This paper addresses this issue by incorporating characteristics of the human perceptual system into an image coding system. This is achieved by analysing the spatial and temporal characteristics of the human visual attention system as recorded from an eye-tracking device at the encoding end. Human visual attention mechanisms direct the viewer's eye movements around the image to provide a sequence of fixations, which are analysed, clustered and classified into regions of interest (ROI). These ROIs are used to selectively encode and prioritise regions such that an improved image content recognition performance can be achieved.

Impact and interest:

6 citations in Scopus
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3 citations in Web of Science®

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212 since deposited on 30 Oct 2007
11 in the past twelve months

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ID Code: 10490
Item Type: Journal Article
Keywords: Eye tracking, Image coding, Importance map, JPEG 2000, Region of interest (ROI)
DOI: 10.1016/j.image.2005.11.007
ISSN: 0923-5965
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2006 Elsevier
Copyright Statement: Reproduced in accordance with the copyright policy of the publisher.
Deposited On: 30 Oct 2007
Last Modified: 29 Feb 2012 23:22

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