Error Concealment for Cloud-Based and Scalable Video Coding of HD Videos

• Published in: IEEE transactions on cloud computing Vol. 7; no. 4; pp. 975 - 987
• Main Authors: Usman, Muhammad, He, Xiangjian, Lam, Kin-Man, Xu, Min, Bokhari, Syed Mohsin Matloob, Chen, Jinjun, Jan, Mian Ahmad
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE Computer Society 01.10.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; block matching; Cloud computing; Coding; Computer simulation; Delays; Digital media; Electronic commerce; Electronic devices; end-to-end delay; error concealment; frame copy; Mobile communication; Real-time systems; Servers; Static VAr compensators; Streaming media; test-zone search; Video data; Video transmission
• DOI: 10.1109/TCC.2017.2734650
• ISSN: 2168-7161

The encoding of HD videos faces two challenges: requirements for a strong processing power and a large storage space. One time-efficient solution addressing these challenges is to use a cloud platform and to use a scalable video coding technique to generate multiple video streams with varying bit-rates. Packet-loss is very common during the transmission of these video streams over the Internet and becomes another challenge. One solution to address this challenge is to retransmit lost video packets, but this will create end-to-end delay. Therefore, it would be good if the problem of packet-loss can be dealt with at the user's side. In this paper, we present a novel system that encodes and stores the videos using the Amazon cloud computing platform, and recover lost video frames on user side using a new Error Concealment (EC) technique. To efficiently utilize the computation power of a user's mobile device, the EC is performed based on a multiple-thread and parallel process. The simulation results clearly show that, on average, our proposed EC technique outperforms the traditional Block Matching Algorithm (BMA) and the Frame Copy (FC) techniques.