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A Novel Customized Recompression Framework for Massive Internet Images

  • Shouhong Ding
  • Feiyue Huang
  • Zhifeng Xie
  • Yongjian Wu
  • Lizhuang Ma
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7633)

Abstract

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.

Keywords

Massive Internet Images Image Recompression Image Quality Assessment 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Shouhong Ding
    • 1
  • Feiyue Huang
    • 2
  • Zhifeng Xie
    • 1
  • Yongjian Wu
    • 2
  • Lizhuang Ma
    • 1
  1. 1.Department of Computer Science and EngineeringShanghai Jiao Tong UniversityShanghaiChina
  2. 2.Tencent ResearchShanghaiChina

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