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Pharmacophore Modeling and Docking Studies of SNCA Receptor with Some Active Phytocompounds from Selected Ayurvedic Medicinal Plants Known for their CNS Activity Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Image Saliency in Geometric Aesthetic Aspect

Author : Dao Nam Anh

Published in: Information Systems Design and Intelligent Applications

Publisher: Springer Singapore

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Abstract

This paper introduces a geometric aesthetic approach for the analysis of visual attention to extract regions of interest from images. Modulation awareness, such as that perceived by visual features, can be represented by attractive proportions of visual objects. Together with supporting techniques such as similarity estimation and lighting condition manipulation, the aesthetic geometry-based analysis can be implemented to form refined attentive shifting observed from image scenes. In this paper, we propose robust kernels which comply with the golden ratio for analysis of aesthetic attractiveness which can raise visual awareness. Properties and relations of points and regions are evaluated by the corresponding kernels for images scenes. We also establish robust likelihood reasoning for the kernels with respect to human aesthetic attraction. The experimental results with a benchmark show the efficiency of the proposed method for identifying region of visual interest in images.

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Metadata
Title
Image Saliency in Geometric Aesthetic Aspect
Author
Dao Nam Anh
Copyright Year
2018
Publisher
Springer Singapore
Book
Information Systems Design and Intelligent Applications

Print ISBN: 978-981-10-7511-7

Electronic ISBN: 978-981-10-7512-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7512-4_49

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