NDLI: A Reverse Hierarchy Model for Predicting Eye Fixations

Content Provider	IEEE Xplore Digital Library
Author	Tianlin Shi Ming Liang Xiaolin Hu
Copyright Year	2014
Description	Author affiliation: Inst. of Interdiscipl. Inf. Sci., Tsinghua Univ., Beijing, China (Tianlin Shi) \|\| Sch. of Med., Tsinghua Univ., Beijing, China (Ming Liang) \|\| Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China (Xiaolin Hu)
Abstract	A number of psychological and physiological evidences suggest that early visual attention works in a coarse-to-fine way, which lays a basis for the reverse hierarchy theory (RHT). This theory states that attention propagates from the top level of the visual hierarchy that processes gist and abstract information of input, to the bottom level that processes local details. Inspired by the theory, we develop a computational model for saliency detection in images. First, the original image is downsampled to different scales to constitute a pyramid. Then, saliency on each layer is obtained by image super-resolution reconstruction from the layer above, which is defined as unpredictability from this coarse-to-fine reconstruction. Finally, saliency on each layer of the pyramid is fused into stochastic fixations through a probabilistic model, where attention initiates from the top layer and propagates downward through the pyramid. Extensive experiments on two standard eye-tracking datasets show that the proposed method can achieve competitive results with state-of-the-art models.
Starting Page	2822
Ending Page	2829
File Size	925210
Page Count	8
File Format	PDF
ISBN	9781479951185
ISSN	10636919
DOI	10.1109/CVPR.2014.361
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction Computational modeling Image resolution Visualization Brain modeling Predictive models Stochastic processes
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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