Comparison Research on Bottom-up Visual Attention Models

DOI

10.2991/itms-15.2015.131How to use a DOI?

Keywords

Bottom-up; Significance; Visual attention model

Abstract

In recent years, tremendous progresses have been made in research on basic principle of visual cortex information processing, which bring wide attention to bottom-up visual attention system, some models have already been established successfully and been applied to image processing and machine vision. This essay aims to expatiate the seven kinds of currently most representative bottom-up visual significance algorithm models, summarize and compare the advantages and disadvantages of these algorithm models, explain the results of these algorithm models on different categories of images, and provide some thinking and suggestion on possible future development and research direction of bottom-up visual attention models.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guiliang Chen
AU  - Yongheng Li
PY  - 2015/11
DA  - 2015/11
TI  - Comparison Research on Bottom-up Visual Attention Models
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 548
EP  - 552
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.131
DO  - 10.2991/itms-15.2015.131
ID  - Chen2015/11
ER  -