Selective focus saliency model driven by object class‐awareness-Reference-Cited by-同舟云学术

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Selective focus saliency model driven by object class‐awareness

Published:2020-12-29 Issue:6 Volume:15 Page:1332-1344
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Zhao Danpei¹²³,Yuan Bo¹²³,Shi Zhenwei¹²³,Jiang Zhiguo¹²³

Affiliation:

1. Image Processing Center School of Astronautics Beihang University Beijing China

2. Beijing Key Laboratory of Digital Media Beihang University Beijing China

3. Key Laboratory of Spacecraft Design Optimization and Dynamic Simulation Technologies Ministry of Education Beihang University Beijing China

Funder

National Natural Science Foundation of China

Aeronautical Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12108

Reference60 articles.

1. Borji A. et al.: Adaptive object tracking by learning background context. In: 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops pp.23–30.IEEE Piscataway(2012)

2. Lin M. Dai H.: Object tracking based on visual attention. In: 2016 IEEE International Conference on Information and Automation (ICIA) pp. 1846–1849.IEEE Piscataway(2016)

3. A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression

4. Saliency-Aware Video Compression

5. Donoser M. et al.: Saliency driven total variation segmentation. In: 2009 IEEE 12th International Conference on Computer Vision pp. 817–824.IEEE Piscataway(2009)

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