Automatic synthesis of advertising images according to a specified style

作     者：Wei-tao YOU Hao JIANG Zhi-yuan YANG Chang-yuan YANG Ling-yun SUN Wei-tao YOU;Hao JIANG;Zhi-yuan YANG;Chang-yuan YANG;Ling-yun SUN

作者机构：Key Laboratory of Design Intelligence and Digital Creativity of Zhejiang ProvinceHangzhou 310027China International Design InstituteZhejiang UniversityHangzhou 310058China International User Experience Business UnitAlibaba GroupHangzhou 311121China 

基　　金：Project supported by the National Science and Technology Innovation 2030 Major Project of the Ministry of Science and Technology of China(No.2018AAA0100700) the National Natural Science Foundation of China(No.61672451) the Provincial Key Research and Development Plan of Zhejiang Province,China(No.2019C03137) the China Postdoctoral Science Foundation(No.2018M630658) the Alibaba-Zhejiang University Joint Institute of Frontier Technologies 

出 版 物：《Frontiers of Information Technology & Electronic Engineering》 (信息与电子工程前沿（英文版）)

年 卷 期：2020年第21卷第10期

页      码：1455-1466页

摘      要：Images are widely used by companies to advertise their products and promote awareness of their *** automatic synthesis of advertising images is challenging because the advertising message must be clearly conveyed while complying with the style required for the product,brand,or target *** this study,we proposed a data-driven method to capture individual design attributes and the relationships between elements in advertising images with the aim of automatically synthesizing the input of elements into an advertising image according to a specified *** achieve this multi-format advertisement design,we created a dataset containing 13280 advertising images with rich annotations that encompassed the outlines and colors of the elements,in addition to the classes and goals of the *** our probabilistic models,users guided the style of synthesized advertisements via additional constraints(e.g.,context-based keywords).We applied our method to a variety of design tasks,and the results were evaluated in several perceptual studies,which showed that our method improved users’satisfaction by 7.1%compared to designs generated by nonprofessional students,and that more users preferred the coloring results of our designs to those generated by the color harmony model and Colormind.

主 题 词：Image dataset Data-driven method Automatic advertisement synthesis 

学科分类：081203[081203] 08[工学] 0835[0835] 0812[工学-测绘类] 

核心收录：

D　O　I：10.1631/FITEE.1900367

馆 藏 号：203981155...