NDLI: A novel approach for saliency detection based on multiscale phase spectrum

Content Provider	IEEE Xplore Digital Library
Author	Singh, D. Meher, S.
Copyright Year	2012
Description	Author affiliation: Department of Electronics & Communication, National Institute of Technology, Rourkela 769008, Odisha, India (Singh, D.; Meher, S.)
Abstract	Saliency detection is one of the core modules which is incorporated in various industrial applications such as computer vision, object based surveillance, content adaptive data delivery for low data rate systems. Saliency map represents the significance of objects in the scene. As in a visual scene all objects do not get equal attention. Objects which are different from their surroundings, automatically get more visual importance. Hardware based eye tracker devices are commercially available but the cost is comparatively very high. So to match the gaze attention, various algorithms are explored by several researchers. In this paper, multiscale phase spectrum based efficient saliency detection method is proposed. The proposed method is performing better by yielding better results than other methods. Four state-of-art of salient object detection techniques are analyzed along with the ground truth and compared against the proposed method for experimental evaluation.
Starting Page	1
Ending Page	6
File Size	7115674
Page Count	6
File Format	PDF
ISBN	9781457720772
e-ISBN	9781457720789
DOI	10.1109/ICCICT.2012.6398159
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-19
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Object based segmentation Visualization Image segmentation Computer vision Foveated imaging Fourier transforms Image resolution Image color analysis Salient object detection
Content Type	Text
Resource Type	Article

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