Numeric Analysis for Relationship-Aware Scalable Streaming SchemeReport as inadecuate




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Journal of Applied Mathematics - Volume 2014 2014, Article ID 195781, 12 pages -

Research Article

Samsung Electronic Co., Suwon, Republic of Korea

Humanitas College, Kyung Hee University, Seoul, Republic of Korea

Department of Computer Science & Engineering, Gangneung-Wonju National University, Gangwon-do, Republic of Korea

Received 13 March 2014; Accepted 29 April 2014; Published 12 June 2014

Academic Editor: Young-Sik Jeong

Copyright © 2014 Heung Ki Lee et al. 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.

Abstract

Frequent packet loss of media data is a critical problem that degrades the quality of streaming services over mobile networks. Packet loss invalidates frames containing lost packets and other related frames at the same time. Indirect loss caused by losing packets decreases the quality of streaming. A scalable streaming service can decrease the amount of dropped multimedia resulting from a single packet loss. Content providers typically divide one large media stream into several layers through a scalable streaming service and then provide each scalable layer to the user depending on the mobile network. Also, a scalable streaming service makes it possible to decode partial multimedia data depending on the relationship between frames and layers. Therefore, a scalable streaming service provides a way to decrease the wasted multimedia data when one packet is lost. However, the hierarchical structure between frames and layers of scalable streams determines the service quality of the scalable streaming service. Even if whole packets of layers are transmitted successfully, they cannot be decoded as a result of the absence of reference frames and layers. Therefore, the complicated relationship between frames and layers in a scalable stream increases the volume of abandoned layers. For providing a high-quality scalable streaming service, we choose a proper relationship between scalable layers as well as the amount of transmitted multimedia data depending on the network situation. We prove that a simple scalable scheme outperforms a complicated scheme in an error-prone network. We suggest an adaptive set-top box AdaptiveSTB to lower the dependency between scalable layers in a scalable stream. Also, we provide a numerical model to obtain the indirect loss of multimedia data and apply it to various multimedia streams. Our AdaptiveSTB enhances the quality of a scalable streaming service by removing indirect loss.





Author: Heung Ki Lee, Jaehee Jung, Kyung Jin Ahn, Hwa-Young Jeong, and Gangman Yi

Source: https://www.hindawi.com/



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