A novel customized recompression framework for massive internet images

作者:Ding, Shouhong; Huang, Feiyue; Xie, Zhifeng; Wu, Yongjian; Ma, Lizhuang
来源:1st International Conference on Computational Visual Media, CVM 2012, China,Beijing, 2012-11-08 to 2012-11-10.
DOI:10.1007/978-3-642-34263-9_2

摘要

Recently, device storage capacity and transmission bandwidth requirements are facing a heavy burden on account of massive internet images. Generally, to improve user experience and save costs as much as possible, a lot of internet applications always focus on how to achieve the appropriate image recompression. In this paper, we propose a novel framework to efficiently customize image recompression according to a variety of applications. And our new framework has been successfully applied to many commercial applications, such as web portals, e-commerce, online game and so on.

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