NDLI: State-of-the-art video coding approaches: A survey

Content Provider	IEEE Xplore Digital Library
Author	Mai Xu Yilin Liang Zulin Wang
Copyright Year	2015
Description	Author affiliation: Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China (Mai Xu; Yilin Liang; Zulin Wang)
Abstract	The past few decades have witnessed the explorative growth of video services around humans. However, due to the limited spectrum, video coding has to be developed for efficient video delivery. The core of video coding is compressing video frames by exploiting their redundancy. Aiming at decreasing spatio-temporal redundancy, several video coding standards have been proposed with a hybrid framework during the past two decades. We therefore first survey in this paper the existing standards on video coding. Second, we review some other video coding approaches, which take advantage of state-of-the-art computer vision and machine learning technologies, for lessening both spatio-temporal and perceptual redundancy of images/videos. In retrospect of what has been achieved so far, we finally outlook what the future may hold for video coding.
Starting Page	284
Ending Page	290
File Size	326432
Page Count	7
File Format	PDF
e-ISBN	9781467372909
DOI	10.1109/ICCI-CC.2015.7259399
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video coding Encoding Redundancy Computational modeling Image segmentation video coding Video coding standards
Content Type	Text
Resource Type	Article

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