Informatics Report Series



Related Pages

Report (by Number) Index
Report (by Date) Index
Author Index
Institute Index

Title:Object-Based Visual Attention for Computer Vision
Authors: Yaoru Sun ; Robert Fisher
Date:Jun 2004
Publication Title:Artificial Intelligence
Publication Type:Journal Article Publication Status:Published
Volume No:# 146(1) Page Nos:77-123
In this paper, a novel model of object-based visual attention extending Duncan's Inte- grated Competition Hypothesis [24] is presented. In contrast to the attention mechanisms used in most previous machine vision systems which drive attention based on the spa- tial location hypothesis, the mechanisms which direct visual attention in our system are object-driven as well as feature-driven. The competition to gain visual attention occurs not only within an object but also between objects. For this purpose, two new mecha- nisms in the proposed model are described and analyzed in detail. The rst mechanism computes the visual salience of objects and groupings; the second one implements the hierarchical selectivity of attentional shifts. The results of the new approach on synthetic and natural images are reported.
2004 by The University of Edinburgh. All Rights Reserved
Links To Paper
1st link
Bibtex format
author = { Yaoru Sun and Robert Fisher },
title = {Object-Based Visual Attention for Computer Vision},
journal = {Artificial Intelligence},
publisher = {Elsevier},
year = 2004,
month = {Jun},
volume = {# 146(1)},
pages = {77-123},
doi = {10.1016/S0004-3702(02)00399-5},
url = {},

Home : Publications : Report 

Please mail <> with any changes or corrections.
Unless explicitly stated otherwise, all material is copyright The University of Edinburgh