Journal
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY
Volume 74, Issue 1, Pages 33-46Publisher
SPRINGER
DOI: 10.1007/s11265-013-0768-9
Keywords
Top-down saliency detection; Goal-driven visual attention; Spatial pooling
Funding
- NSFC [61071155, 61201446]
- 973 National Program [2010CB731401, 2010CB731406]
- STCSM [12DZ2272600]
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Goal-driven top-down mechanism plays important role in the case of object detection and recognition. In this paper, we propose a top-down computational model for goal-driven saliency detection based on the coding-based classification framework. It consists of four successive steps: feature extraction, descriptor coding, contextual pooling and saliency prediction. Particularly, we investigate the effect of spatial context information for saliency detection, and propose a block-wise spatial pooling operation to take advantage of contextual cues in multiple neighborhood scales and orientations. The experimental results on three datasets demonstrate that our method can effectively exploit contextual information and achieves the state-of-the-art performance on top-down saliency detection task.
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