[1]朱 瑞,王美丽.多指标融合的人物图像美感评价算法研究[J].南京师大学报(自然科学版),2021,44(04):94-101.[doi:10.3969/j.issn.1001-4616.2021.04.012]
　Zhu Rui,Wang Meili.Research on Image Aesthetic uation Algorithm Based on Multi-Index Fusion[J].Journal of Nanjing Normal University(Natural Science Edition),2021,44(04):94-101.[doi:10.3969/j.issn.1001-4616.2021.04.012]
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多指标融合的人物图像美感评价算法研究()
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《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

卷:
第44卷
期数:
2021年04期
页码:
94-101
栏目:
·计算机科学与技术·
出版日期:
2021-12-15

文章信息/Info

Title:
Research on Image Aesthetic uation Algorithm Based on Multi-Index Fusion
文章编号:
1001-4616(2021)04-0094-08
作者:
朱 瑞1; 王美丽1; 2; 3
(1.西北农林科技大学信息工程学院,陕西 咸阳 712100)(2.农业农村部农业物联网重点实验室,陕西 咸阳 712100)(3.陕西省农业信息感知与智能服务重点实验室,陕西 咸阳 712100)
Author(s):
Zhu Rui1; Wang Meili1; 2; 3
(1.College of Information Engineering Northwest A&F University,Xianyang 712100,China)(2.Key Laboratory of Agricultural Internet of Things,Ministry of Agriculture,Xianyang 712100,China)(3.Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service,Xianyang 712100,China)
关键词:
人物图像; 美感评价; 美学特征; 指标融合
Keywords:
character images; aesthetic uation; aesthetic feature; index fusion
分类号:
TP391
DOI:
10.3969/j.issn.1001-4616.2021.04.012
文献标志码:
A
摘要:
本文针对人物图像,提出一种根据人类视觉及审美习惯来评价其美学价值的可计算方法,从技术特征、感知特征和社会特征3个方面对图像进行特征提取并作为评价指标,融合各指标建立美感评价模型,采用在线调研的方式确定各指标的影响因子,从而实现人物图像美感自动评价. 在香港中文大学人物图像美学质量评价数据集(CUHKPQ)上的实验测试结果表明,本文提出的方法准确率可达到98.08%,具有一定的有效性,并且各指标的评价结果清晰直观,可以从各角度对提高图像美学质量起到指导作用. 通过将模型集成到手机应用程序中,能够对用户上传的多张人像照片进行美感评价和打分,并依据评分结果选择保留或删除的照片,从而简化用户操作.
Abstract:
This paper proposes a computable method to uate the aesthetic value of character images according to human vision and aesthetic habits. Image uation indicators are extracted based on technical characteristics,perceptual characteristics and social characteristics.An aesthetic uation model is built based on the integration of these indicators. The influence factors of various indicators are determined by online investigation,thus realizing the automatic uation of the aesthetic feeling of character images. The experimental results on character image aesthetic quality uation data set of CUHK(CUHKPQ)show that the accuracy rate of the proposed method can reach 98.05%,and the uation results of each index are clear and intuitive,which can play a guiding role improving the image aesthetic quality from various perspectives.By integrating the model into the mobile phone application program,users can carry out aesthetic uation and scoring on a plurality of portrait photos and select the photos retained or deleted the unwanted ones according to the scoring result,thus simplifying the user operation.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2021-05-23.
基金项目:陕西省重点研发计划农业农村领域一般项目(2019NY-167)、农村农业部农业物联网重点实验室项目(2018AIOT-09).
通讯作者:王美丽,教授,研究方向:计算机图形图像,三维建模、仿真与可视化等. E-mail:wml@nwafu.edu.cn
更新日期/Last Update: 2021-12-15