Large-scale video compression: recent advances and challenges

被引：0
|
作者：
Tao Tian
Hanli Wang
机构：
[1] Tongji University,Department of Computer Science and Technology
[2] Tongji University,Key Laboratory of Embedded System and Service Computing, Ministry of Education
[3] Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing,undefined
来源：
Frontiers of Computer Science | 2018年 / 12卷
关键词：
large-scale video compression; fast video coding; compression efficiency;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The evolution of social network and multimedia technologies encourage more and more people to generate and upload visual information, which leads to the generation of large-scale video data. Therefore, preeminent compression technologies are highly desired to facilitate the storage and transmission of these tremendous video data for a wide variety of applications. In this paper, a systematic review of the recent advances for large-scale video compression (LSVC) is presented. Specifically, fast video coding algorithms and effective models to improve video compression efficiency are introduced in detail, since coding complexity and compression efficiency are two important factors to evaluate video coding approaches. Finally, the challenges and future research trends for LSVC are discussed.
引用
收藏
页码：825 / 839
页数：14
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