Video Adaptation for Heterogeneous Environments
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Editorial Video Adaptation for Heterogeneous Environments Chia-Wen Lin,1 Yap-Peng Tan,2 Anthony Vetro,3 Alex Kot,2 and Ming-Ting Sun4 1 Department
of Electrical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798 3 Mitsubishi Electric Research Laboratories, Cambridge, MA 02139, USA 4 Department of Electrical Engineering, University of Washington, Seattle, WA 98195, USA 2 School
Received 29 August 2007; Accepted 29 August 2007 Copyright © 2007 Chia-Wen Lin 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.
The explosive growth of compressed video streams and repositories which are accessible worldwide and the recent addition of new video-related standards, such as H.264/AVC, MPEG-7, and MPEG-21, have stimulated research for new technologies and applications in the area of multimedia architectures, processing, and networking. Current communication networks exhibit a wide range of capabilities, including various architectures, throughputs, and quality of service and protocols. The interconnection of different networks provides several advantages, but also poses major technical challenges. However, users employ heterogeneous videoenabled terminals such as computers, TVs, mobile phones, and personal digital assistants with a wide range of computational and display capabilities, energy resources, features, accessibilities, and user preferences. Such heterogeneity in networks and user devices has escalated the need for efficient and effective techniques for adapting compressed videos to better suit the different capabilities, constraints, and requirements of various transmission networks, applications, and end users. For instance, universal multimedia access (UMA) advocates the provision and adaptation of the same multimedia content for different networks, terminals, and user preferences. Video adaptation is an emerging field that offers a rich body of knowledge and techniques for handling the huge variation of resource constraints (e.g., bandwidth, display capability, processing speed, and power consumption) and the large diversity of user tasks in pervasive media applications. Video adaptation may apply to individual or multiple video streams and call for different means depending on the objectives and requirements of adaptation. Transcoding, transmoding (cross-modality transcoding), scalable content representation, and content abstraction and summarization are popular means for video adaptation. In addition, video con-
tent analysis and understanding, including low-level feature analysis and high-level semantics understanding, play an important role in video adaptation as essential video content can be better preserved. Many research and development activities in industry and academia have been devoted to answering the challenges of m
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