tailieunhanh - Báo cáo hóa học: " Editorial Video Adaptation for Heterogeneous Environments"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Editorial Video Adaptation for Heterogeneous Environments | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 18578 4 pages doi 2007 18578 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 TsingHua University Hsinchu 30013 Taiwan 2 School 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 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 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 .