Visual Attention Modeling: Region-of-Interest Versus Fixation Patterns

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Ulrich Engelke, Hans-Jürgen Zepernick, Anthony Maeder
Title: Visual Attention Modeling: Region-of-Interest Versus Fixation Patterns
Conference name: 27th Picture Coding Symposium
Year: 2009
Pagination: 521-524
ISBN: 978-1-4244-4593-6
Publisher: IEEE
City: Chicago
ISI number: 000273295700131
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. of Signal Processing (Sektionen för teknik – avd. för signalbehandling)
School of Engineering S- 372 25 Ronneby
+46 455 38 50 00
Authors e-mail:
Language: English
Abstract: Visual attention (VA) is an integral property of the human visual system. The deployment of a VA model can be beneficial for many image and video applications, such as, compression, transmission, and quality assessment. However, the design of a VA model is highly dependent on the subjective VA data used as ground truth and the application that the model is intended for. In this paper, we discuss two ways of obtaining subjective VA data that can subsequently be used to develop VA models; selective regions-of-interest and visual fixation patterns. The feasibility of both methods will be discussed, in particular, with respect to visual quality assessment.
Subject: Telecommunications\General
Keywords: Visual attention, region-of-interest, visual fixation pattern, image quality