Meta-metric for saliency detection evaluation metrics based on application preference-Reference-Cited by-同舟云学术

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Meta-metric for saliency detection evaluation metrics based on application preference

Published:2018-03-16 Issue:20 Volume:77 Page:26351-26369
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Niu Yuzhen,Chen Jianer,Guo Wenzhong

Funder

the National Natural Science Foundation of China

the Fujian Natural Science Funds for Distinguished Young Scholar

the Technology Guidance Project of Fujian Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-018-5863-2/fulltext.html

Reference49 articles.

1. Achanta R, Hemami S, Estrada F, Susstrunk S (2009) Frequency tuned salient region detection. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1597–1604

2. An J, Lee SH, Cho NI (2014) Content-based image retrieval using color features of salient regions, IEEE International Conference on Image Processing, pp. 3042–3046

3. Balanov A, Schwartz A, Moshe Y, Peleg N (2015) Image quality assessment based on DCT subband similarity. In: IEEE International Conference on Image Processing, pp. 2105–2109

4. Chang H, Zhang Q, Wu Q, Gan Y (2015) Perceptual image quality assessment by independent feature detector. Neurocomputing 151:1142–1152

5. Chen T, Cheng M, Tan P, Shamir A, Hu S (2009) Sketch2photo: internet image montage. ACM Transactions on Graphics 28(5):124:1–124:10. https://doi.org/10.1145/1661412.1618470

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