An investigation and implementation of real-time image cropping on mobile computing devices based on saliency and face detection

Lisheng Gao; Deqian Fu; Seong Tae Jhang

doi:10.1117/12.968589

8 June 2012 An investigation and implementation of real-time image cropping on mobile computing devices based on saliency and face detection

Lisheng Gao, Deqian Fu, Seong Tae Jhang

Author Affiliations +

Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83344A (2012) https://doi.org/10.1117/12.968589
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia

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.

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Lisheng Gao, Deqian Fu, and Seong Tae Jhang "An investigation and implementation of real-time image cropping on mobile computing devices based on saliency and face detection", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83344A (8 June 2012); https://doi.org/10.1117/12.968589

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