Crowdsourcing for Rating Image Aesthetic Appeal-Reference-Cited by-同舟云学术

Crowdsourcing for Rating Image Aesthetic Appeal

Published:2014 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia - CrowdMM '14
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Author:

Redi Judith,Povoa Isabel

Funder

Nederlandse Wetenschappelijke Organisatie

Publisher

ACM Press

Reference20 articles.

1. D. Joshi, R. Datta, E. Fedorovskaya, Q.-T. Luong, J. Z. Wang, J. Li, and J. Luo, 2011. Aesthetics and emotions in images, Signal Processing Magazine, IEEE, pp. 94 - 115.

2. J. A. Redi, 2013. Visual quality beyond artifact visibility. In Proc. SPIE 8651, Human Vision and Electronic Imaging XVIII

3. R. Datta, D. Joshi, J. Li, and J. Z. Wang. 2006. Studying Aesthetics in Photographic Images Using a Computational Approach. in 9th European Conference on Computer Vision, 2006, pp. 288--301.

4. L.-K. Wong, and K.-L. Low, 2009. Saliency-enhanced image aesthetics class prediction. in Image Processing (ICIP), 2009 16th IEEE International Conference on.

5. Redi, J.A., Povoa, I. 2013. The Role of Visual Attention in the Aesthetic Appeal of Consumer Images: A Preliminary Study. Proceedings of Visual Communications and Image Processing (VCIP), 1--6.

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