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2014 | OriginalPaper | Chapter

Predictive Coding with Context as a Model of Image Saliency Map

Authors : Duzhen Zhang, Chuancai Liu

Published in: Foundations and Practical Applications of Cognitive Systems and Information Processing

Publisher: Springer Berlin Heidelberg

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Abstract

Predictive coding/biased competition (PC/BC) is a computational model of primary visual cortex (V1). Recent literature demonstrates that PC/BC model provides an implementation of the V1 bottom-up saliency map hypothesis. In this paper, we propose a novel approach toward natural color images saliency detection via the PC/BC model with top-down cortical feedback as context. We compare our method with the five state-of-the-art models of saliency detectors. Experimental results show that our method performs competitively for visual saliency detection task.

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Metadata
Title
Predictive Coding with Context as a Model of Image Saliency Map
Authors
Duzhen Zhang
Chuancai Liu
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-37835-5_2

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