An Investigation and Implementation of Real-time Image Cropping on Mobile Computing Devices Based on Saliency and Face Detection
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.
Saliency map thumbnail image cropping face detection mobile computing device.
Lisheng Gao Deqian Fu
Network Center Linyi Normal University Linyi City, P.R.China School of Informatics Linyi Normal University Linyi City, P.R.China
国际会议
昆明
英文
283-286
2010-10-17（万方平台首次上网日期，不代表论文的发表时间）