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8 June 2012 An investigation and implementation of real-time image cropping on mobile computing devices based on saliency and face detection
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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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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