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Technology of Graphic & Image
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3853-3856

User-specific method for aesthetic images recommendation

Xu Yongbo
Su Shimei
Fan Longqing
School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China

Abstract

To quickly and effectively find the user′s favorite image in many image information resources, this paper proposed a user-appreciated aesthetic image recommendation method, which used the deep convolutional neural network to extract the deep features of the image, and obtained an image sorting score after SVMrank, while using hand-marked image aesthetic factors(such as hue method, image combination rule, definition and simplicity) calculated and obtained the aesthetic characteristics of the image and an aesthetic score. Finally it performed weighted cross-validation to obtain a recommendation result that was satisfactory to the user. Experiments show that the algorithm is an effective recommendation method for aesthetic preferences.

Foundation Support

河南省科技攻关项目(172102310393)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0436
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Technology of Graphic & Image
Pages: 3853-3856
Serial Number: 1001-3695(2019)12-073-3853-04

Publish History

[2019-12-05] Printed Article

Cite This Article

许永波, 苏士美, 樊隆庆. 一种用户偏好的美学图像推荐方法 [J]. 计算机应用研究, 2019, 36 (12): 3853-3856. (Xu Yongbo, Su Shimei, Fan Longqing. User-specific method for aesthetic images recommendation [J]. Application Research of Computers, 2019, 36 (12): 3853-3856. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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