Relative features for photo quality assessment

Mei Chen Yeh*, Yu Chen Cheng

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

14 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
主出版物標題2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
頁面2861-2864
頁數4
DOIs
出版狀態已發佈 - 2012 十二月 1
事件2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, 美国
持續時間: 2012 九月 302012 十月 3

出版系列

名字Proceedings - International Conference on Image Processing, ICIP
ISSN(列印)1522-4880

其他

其他2012 19th IEEE International Conference on Image Processing, ICIP 2012
國家/地區美国
城市Lake Buena Vista, FL
期間2012/09/302012/10/03

ASJC Scopus subject areas

  • 電腦網路與通信
  • 資訊系統

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