Reinforcement learning cropping method based on comprehensive feature and aesthetics assessment-Reference-Cited by-同舟云学术

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Reinforcement learning cropping method based on comprehensive feature and aesthetics assessment

Published:2022-01-17 Issue:5 Volume:16 Page:1415-1423
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Zhang Yaqing¹^ORCID,Li Xueming²,Li Xuewei³

Affiliation:

1. School of Digital Media and Design Arts Beijing University of Posts and Telecommunications Beijing China

2. Beijing Key Laboratory of Network System and Network Culture Beijing University of Posts and Telecommunications Beijing China

3. Department of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 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/ipr2.12420

Reference45 articles.

1. Automatic Image Cropping using Visual Composition, Boundary Simplicity and Content Preservation Models

2. Learning to Compose with Professional Photographs on the Web

3. Learning the Change for Automatic Image Cropping

4. Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative Study

5. Automatic image cropping with aesthetic map and gradient energy map

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rectification for Stitched Images with Deformable Meshes and Residual Networks;Applied Sciences;2024-03-27

2. A survey on deep reinforcement learning architectures, applications and emerging trends;IET Communications;2022-07-02

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