Relative features for photo quality assessment

Mei Chen Yeh; Yu Chen Cheng

doi:10.1109/ICIP.2012.6467496

Relative features for photo quality assessment

Mei Chen Yeh^*, Yu Chen Cheng

^*Corresponding author for this work

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

20 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 language	English
Title of host publication	2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
Pages	2861-2864
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2012.6467496
Publication status	Published - 2012
Event	2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States Duration: 2012 Sept 30 → 2012 Oct 3

Publication series

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

Other

Other	2012 19th IEEE International Conference on Image Processing, ICIP 2012
Country/Territory	United States
City	Lake Buena Vista, FL
Period	2012/09/30 → 2012/10/03

Keywords

Visual aesthetics
feature
image quality assessment

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

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10.1109/ICIP.2012.6467496

Cite this

Yeh, MC & Cheng, YC 2012, Relative features for photo quality assessment. in 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings., 6467496, Proceedings - International Conference on Image Processing, ICIP, pp. 2861-2864, 2012 19th IEEE International Conference on Image Processing, ICIP 2012, Lake Buena Vista, FL, United States, 2012/09/30. https://doi.org/10.1109/ICIP.2012.6467496

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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.",

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AB - 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.

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Relative features for photo quality assessment

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