Relative features for photo quality assessment

Mei Chen Yeh, Yu Chen Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

Automatic evaluation of photo aesthetic quality is a challenging problem in multimedia computing. Numerous aesthetic features have been proposed in previous works but the features are extracted solely from the photo under evaluation. In this paper, we explore the use of multiple images, and present the relative features that can be easily computed from any score-based features. We show that evaluation on a group basis can facilitate the quality assessment problem. Although the extraction of the new feature is extremely simple, computationally efficient, and requires no training phase, experimental results validate the effectiveness of the proposed approach.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
Pages2861-2864
Number of pages4
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
Duration: 2012 Sep 302012 Oct 3

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2012 19th IEEE International Conference on Image Processing, ICIP 2012
CountryUnited States
CityLake Buena Vista, FL
Period12/9/3012/10/3

Keywords

  • Visual aesthetics
  • feature
  • image quality assessment

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Yeh, M. C., & Cheng, Y. C. (2012). Relative features for photo quality assessment. In 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings (pp. 2861-2864). [6467496] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2012.6467496