Saliency Assessment Using Selective Features Based on Entropy and Wavelet Transform
Article No.: 9, Pages 1 - 6
Abstract
In this paper, we present a novel framework for an image saliency assessment based on an adaptive model. This later evaluates the image-content importance using a tuning strategy based on information theoretic concepts coupled with wavelet multiscale image representation. Our saliency-based encoding form can greatly characterize both regular/irregular structures within the image. The performance of the proposed model is benchmarked with those available in the literature. The saliency assessment mechanism we propose can potentially offer up to very promising results.
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Published In
March 2019
249 pages
ISBN:9781450362924
DOI:10.1145/3361570
Copyright © 2019 ACM.
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Association for Computing Machinery
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Published: 24 March 2019
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icist 2019
icist 2019: 9th International Conference on Information Systems and Technologies
March 24 - 26, 2019
Cairo, Egypt
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