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Proceedings Paper

An investigation and implementation of real-time image cropping on mobile computing devices based on saliency and face detection
Author(s): Lisheng Gao; Deqian Fu; Seong Tae Jhang
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Paper Abstract

Thumbnail images provide mobile computing users of an easier and smoother image exploring experience. Recognizing the objects in an image is important in many retrieval tasks, but thumbnails generated by shrinking the original image often contain less information. The ability of computer vision systems to identify key components of images is investigated in this research. We evaluate automatic cropping techniques 1) based on a general method that detects salient portions of images, and 2) based on automatic face detection. Both of the two methods have been implemented on the mobile computing platform and a desktop platform as a comparison. The experimental results demonstrate the validness of the proposed approaches.

Paper Details

Date Published: 8 June 2012
PDF: 6 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83344A (8 June 2012); doi: 10.1117/12.968589
Show Author Affiliations
Lisheng Gao, Linyi Univ. (China)
Deqian Fu, Linyi Univ. (China)
The Univ. of Suwon (Korea, Republic of)
Seong Tae Jhang, The Univ. of Suwon (Korea, Republic of)


Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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