TAILIEUCHUNG - Báo cáo hóa học: "Editorial Video Analysis and Coding for Robust Transmission"

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 Analysis and Coding for Robust Transmission | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 53981 Pages 1-3 DOI ASP 2006 53981 Editorial Video Analysis and Coding for Robust Transmission Beatrice Pesquet-Popescu 1 Adriana Dumitras 2 and Benoit Macq3 1 Ecole Nationale Superieure des Telecommunications Paris 75634 France 2 Apple Computer Inc. Cupertino California CA 95014 USA 3 Universite Catolique de Louvain 1348 Louvain la Neuve Belgium Received 16 October 2005 Accepted 16 October 2005 Copyright 2006 Beatrice Pesquet-Popescu 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. Increasing heterogeneity of networks and diversity of user capabilities have determined and sustained a strong interest in robust coding of visual content and flexible adaptation of the bitstreams to network and user conditions. As a result several methods for robust coding and transmission have been proposed that include multiple description coding motion-compensated subband video coding joint source-channel coding integrated compression and error control and adap-tation transcoding solutions. These typically increase transmission robustness and network and user awareness by using scalability error resilience and adaptivity at little or sometimes no extra cost in coding efficiency. However the performance of these methods is affected by the diversity of and complex interactions within the visual content. Analysis methods can improve the performance of robust methods for coding and transmission by providing solutions to account for vastly different characteristics of the visual content and complex interactions among data components to achieve optimal or near-optimal robust solutions. Among several benefits the application of visual analysis methods within robust coding and transmission frameworks such as those .

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