[1]陶颖,程雨夏,曾振宇,等.基于数字报历史优秀版面的样式智能生成与微调[J].智能系统学报,2024,19(4):930-940.[doi:10.11992/tis.202207021]
TAO Ying,CHENG Yuxia,ZENG Zhenyu,et al.Intelligent generation and fine tuning of style based on the historical excellent layouts of digital newspapers[J].CAAI Transactions on Intelligent Systems,2024,19(4):930-940.[doi:10.11992/tis.202207021]
点击复制
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
19
期数:
2024年第4期
页码:
930-940
栏目:
学术论文—智能系统
出版日期:
2024-07-05
- Title:
-
Intelligent generation and fine tuning of style based on the historical excellent layouts of digital newspapers
- 作者:
-
陶颖1, 程雨夏1, 曾振宇1, 庄跃辉2, 张艺馨1, 何兴臻1
-
1. 杭州电子科技大学 计算机学院, 浙江 杭州 310018;
2. 浙江方正传媒技术研究院, 浙江 金华 321099
- Author(s):
-
TAO Ying1, CHENG Yuxia1, ZENG Zhenyu1, ZHUANG Yuehui2, ZHANG Yixin1, HE Xingzhen1
-
1. Computer College, Hangzhou Dianzi University, Hangzhou 310018, China;
2. Zhejiang Fangzheng Media Technology Research Institute, Jinhua 321099, China
-
- 关键词:
-
布局自动化; 图形设计; 设计原理; 图像数据库; 数据驱动方法; 概率分布; 聚类; 约束规划
- Keywords:
-
layout automation; graphical design; design principle; image dataset; data-driven method; probability distribution; clustering; constraint programming
- 分类号:
-
TP391
- DOI:
-
10.11992/tis.202207021
- 摘要:
-
在传统报纸印刷行业中,设计人员需要根据设计规则进行人工排版,其排版过程造价成本较高且耗时耗力。为提高排版效率,研究提出一种基于历史优秀版面的样式自动生成与微调方法。为了从数据中学习到报纸排版的风格,创建一个包含丰富的设计元素参数信息的电子报数据库,这些特征信息能够有效地反映报纸的布局。对于给定的新闻文章,首先根据历史优秀版面训练概率模型来推断电子报版面的样式,并结合固定约束和用户约束保证样式有效,同时构建美学设计原理的量化方法进一步实现样式微调。最后通过定性和定量评估,表明新方法可以生成满足视觉美观性、层次性和可读性的报纸。本文方法可为版面设计样式智能生成提供参考。
- Abstract:
-
In traditional newspaper printing industry, designers need to manually typeset according to the design rules. The typesetting process is costly, time-consuming and labor-consuming. In order to improve the efficiency of typesetting, a method of automatic style generation and fine-tuning based on historical excellent layouts is proposed. In order to learn the style of newspaper typesetting from the data, an electronic newspaper database containing rich parameter information of design elements is created, which can effectively reflect the layout of newspapers. For a given news article, firstly, a probability model is trained according to the historical excellent layout to infer the layout style of the electronic newspaper, and the fixed constraints and user constraints are combined to ensure that the style is effective. At the same time, some aesthetic design principles are quantified to further realize style fine-tuning. Finally, through qualitative and quantitative evaluation, it shows that the new method can generate newspapers that meet the visual aesthetics, hierarchy and readability.This method can provide a reference for intelligent generation of layout design styles.
备注/Memo
收稿日期:2022-07-15。
基金项目:国家自然科学基金项目(61802096);浙江省自然科学基金项目(LY20F020014).
作者简介:陶颖,硕士研究生,主要研究方向为智能排版系统。E-mail:taoying@hdu.edu.cn;程雨夏,副教授,主要研究方向为智能计算系统、云计算资源规划调度。主持国家自然科学基金项目、浙江省自然科学基金项目、市重点研发项目等科研项目6项。发表学术论文19篇,授权发明专利10项。E-mail:yxcheng@hdu.edu.cn;庄跃辉,设计总监,主要研究方向为版式视觉设计。创办中国报刊设计网,研发方正电脑远程排版系统,出版《品创意·版式视觉设计灵感分享》、《五笔字型学习捷径》等图书。E-mail:13806786405@163.com
通讯作者:程雨夏. E-mail:yxcheng@hdu.edu.cn
更新日期/Last Update:
1900-01-01