Multi-scale saliency using local gradient and global colour features

Abstract

In this paper, the issue of scale is addressed in the context of salient object detection. To date, many single scale models have been proposed for detecting salient objects within a scene. Scale is a fundamental problem within image processing, and therefore, multiple scale techniques are investigated and evaluated, as well the presentation of a novel multi-scale saliency model. The proposed model is compared with two state-of-the-art multi-scale saliency algorithms and qualitatively evaluated with respect to algorithmic accuracy and efficiency on the publicly available MSRA10K salient object dataset.