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Large-scale video compression: recent advances and challenges

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Abstract

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.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China (Grant Nos. 61622115 and 61472281), the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning (GZ2015005), and Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing (17DZ2251600).

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Authors and Affiliations

  1. Department of Computer Science and Technology, Tongji University, Shanghai, 201804, China

    Tao Tian & Hanli Wang

  2. Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, 200092, China

    Tao Tian & Hanli Wang

  3. Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, 200092, China

    Tao Tian & Hanli Wang

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  1. Tao Tian
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Correspondence to Hanli Wang.

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Tao Tian received the MS degree in computer engineering from Ningbo University, China in 2014, and is currently working toward the PhD degree at Tongji University, China. His research interests include near-duplicate video coding and perceptual video coding.

Hanli Wang received the BE and ME degrees in electrical engineering from Zhejiang University, China in 2001 and 2004, respectively, and the PhD degree in computer science from City University of Hong Kong(CityU), China in 2007. From 2007 to 2008, he was a research fellow with the Department of Computer Science, CityU. From 2007 to 2008, he was also a visiting scholar at Stanford University, USA. From 2008 to 2009, he was a research engineer with Precoad, Inc., USA. From 2009 to 2010, he was an Alexander von Humboldt Research Fellow at University of Hagen, Germany. Since 2010, he has been a full professor with the Department of Computer Science and Technology, Tongji University, China. His current research interests include digital video coding, computer vision, and machine learning.

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Tian, T., Wang, H. Large-scale video compression: recent advances and challenges. Front. Comput. Sci. 12, 825–839 (2018). https://doi.org/10.1007/s11704-018-7304-9

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