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. © 2012 Springer-Verlag.
CITATION STYLE
Ding, S., Huang, F., Xie, Z., Wu, Y., & Ma, L. (2012). A novel customized recompression framework for massive internet images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7633 LNCS, pp. 9–16). https://doi.org/10.1007/978-3-642-34263-9_2
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