IAACS: Image aesthetic assessment through color composition and space formation-Reference-Cited by-同舟云学术

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IAACS: Image aesthetic assessment through color composition and space formation

Published:2023-02 Issue:1 Volume:5 Page:42-56
ISSN:2096-5796
Container-title:Virtual Reality & Intelligent Hardware
language:en
Short-container-title:Virtual Reality & Intelligent Hardware

Author:

Yang Bailin,Zhu Changrui,Li Frederick W.B.,Wei Tianxiang,Liang Xiaohui,Wang Qingxu

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Human-Computer Interaction

Reference49 articles.

1. Image aesthetic assessment: an experimental survey;Deng;IEEE Signal Processing Magazine,2017

2. Rating image aesthetics using deep learning;Lu;IEEE Transactions on Multimedia,2015

3. Deep multi-patch aggregation network for image style, aesthetics, and quality estimation;Lu,2015

4. Photo aesthetics ranking network with attributes and content adaptation;Kong,2016

5. Brain-inspired deep networks for image aesthetics assessment;Wang,2016

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