Transcoding-Based Error-Resilient Video Adaptation for 3G Wireless Networks
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Research Article Transcoding-Based Error-Resilient Video Adaptation for 3G Wireless Networks Sertac Eminsoy,1 Safak Dogan,2 and Ahmet M. Kondoz2 1 NEC
Electronics (Europe) GmbH, Cygnus House, Sunrise Parkway, Linford Wood, Milton Keynes, Buckinghamshire MK14 6NP, UK 2 I-Lab, Centre for Communication Systems Research (CCSR), University of Surrey, Guildford GU2 7XH, Surrey, UK Received 2 October 2006; Revised 19 February 2007; Accepted 13 May 2007 Recommended by Ming-Ting Sun Transcoding is an effective method to provide video adaptation for heterogeneous internetwork video access and communication environments, which require the tailoring (i.e., repurposing) of coded video properties to channel conditions, terminal capabilities, and user preferences. This paper presents a video transcoding system that is capable of applying a suite of error resilience tools on the input compressed video streams while controlling the output rates to provide robust communications over error-prone and bandwidth-limited 3G wireless networks. The transcoder is also designed to employ a new adaptive intra-refresh algorithm, which is responsive to the detected scene activity inherently embedded into the video content and the reported time-varying channel error conditions of the wireless network. Comprehensive computer simulations demonstrate significant improvements in the received video quality performances using the new transcoding architecture without an extra computational cost. Copyright © 2007 Sertac Eminsoy 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.
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INTRODUCTION
The success of the Internet and mobile systems has motivated the development of various enhanced-capacity fixed and wireless networking technologies (e.g., 3G, WLAN, broadband Internet, etc.). The services supported by such networks helped to foster the vision of being connected at anywhere, anytime, and with any device for pervasive media applications. However, the coexistence of the different networking infrastructures and services has also led to an increased heterogeneity of compressed video communication systems and scenarios, in which a wide range of user-terminals with various capabilities access rich video content over a multitude of access networks with different characteristics. The mismatches between the content properties and several network and/or device-centric features, as well as diverse user preferences, call for efficient video delivery systems featuring effective video adaptation mechanisms [1]. In general, this concept has been addressed in literature with the theme of the universal multimedia access (UMA) [2, 3]. Several strategies have been developed for UMA, which are based on the multimedia content adaptation techniques using the context specifications and descriptions defined in Part 7: digital item adaptation (DIA) of the MPEG-21 standard [4–8].
An effective way of perform
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