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Appl. Sci. 2017, 7(2), 186;

Block Recovery Rate-Based Unequal Error Protection for Three-Screen TV

Department of Information, Communication and Broadcasting Engineering, Halla University, 28 Halladae-gil, Wonju-si 26404, Kangwon-do, Korea
Department of Computer Engineering, Gachon University, 1342 Seongnamdaero, Sujeong-gu, Seongnam 13120, Gyeonggi, Korea
Author to whom correspondence should be addressed.
Academic Editor: Wen-Hsiang Hsieh
Received: 17 October 2016 / Revised: 8 February 2017 / Accepted: 9 February 2017 / Published: 16 February 2017
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This paper describes a three-screen television system using a block recovery rate (BRR)-based unequal error protection (UEP). The proposed in-home wireless network uses scalable video coding (SVC) and UEP with forward error correction (FEC) for maximizing the quality of service (QoS) over error-prone wireless networks. For efficient FEC packet assignment, this paper proposes a simple and efficient performance metric, a BRR which is defined as a recovery rate of temporal and quality layer from FEC assignment by analyzing the hierarchical prediction structure including the current packet loss. It also explains the SVC layer switching scheme according to network conditions such as packet loss rate (PLR) and available bandwidth (ABW). In the experiments conducted, gains in video quality with the proposed UEP scheme vary from 1 to 3 dB in Y-peak signal-to-noise ratio (PSNR) with corresponding subjective video quality improvements. View Full-Text
Keywords: scalable video; forward error correction; block recovery rate; unequal error protection; layer switching scalable video; forward error correction; block recovery rate; unequal error protection; layer switching

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Ha, H.; Ryu, E.-S. Block Recovery Rate-Based Unequal Error Protection for Three-Screen TV. Appl. Sci. 2017, 7, 186.

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