Self-adaptive image cropping for small displays

被引：55

作者：

Ciocca, Gianluigi ^{[1
]}

Cusano, Claudio ^{[1
]}

Gasparini, Francesca ^{[1
]}

Schettini, Raimondo ^{[1
]}

机构：

[1] Univ Milano Bicocca, Dept IT Syst & Commun, Milan, Italy

来源：

IEEE TRANSACTIONS ON CONSUMER ELECTRONICS | 2007年 / 53卷 / 04期

关键词：

adaptive image cropping; small displays; image rendering; image classification; face detection; skin detection;

D O I：

10.1109/TCE.2007.4429261

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We propose a new self/adaptive image cropping algorithm where the processing steps are driven by the classification of the images into semantic classes. The algorithm exploits both visual and semantic information. Visual information is obtained from a visual attention model, while semantic information relates to the automatically assigned image genre and to the detection of face and skin regions.

引用

页码：1622 / 1627

页数：6

共 12 条

[1]

[Anonymous], 2003, PROC 16 ANN ACM S US, DOI DOI 10.1145/964696.964707

[2] Face segmentation using skin-color map in videophone applications [J].