Low Memory Implementation of Saliency Map Using Strip-Based Method

Authors:
Christopher Wing Ngau;Li-Minn Ang;Kah Phooi Seng
Affiliations:
School of Electrical and Electronic Engineering, The University of Nottingham Malaysia Campus, Semenyih, Malaysia 43500;School of Electrical and Electronic Engineering, The University of Nottingham Malaysia Campus, Semenyih, Malaysia 43500;School of Electrical and Electronic Engineering, The University of Nottingham Malaysia Campus, Semenyih, Malaysia 43500
Venue:
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
Year:
2009

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Abstract

Works in the area of visual saliency are expanding rapidly where visual salience is beginning to find importance in many multimedia and object detection applications. The core of the visual saliency models is the saliency map where information from various features such as intensity, colour, and orientation are encoded onto a single master map. However, the required amount of memory to hold the related maps in the computation of the saliency map is large. This could be seen as a potential complication in hardware constrained environment. In this paper, a low memory implementation of a saliency map using strip-based method is proposed. Simulation results showed that the strip-based method is able to provide a reasonable saliency map while keeping the memory requirements low.