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Báo cáo hóa học: "Frame-Based Multiple-Description Video Coding with Extended Orthogonal Filter Banks"

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: Frame-Based Multiple-Description Video Coding with Extended Orthogonal Filter Banks | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 53623 Pages 1-17 DOI 10.1155 ASP 2006 53623 Frame-Based Multiple-Description Video Coding with Extended Orthogonal Filter Banks R. Bernardini 1 M. Durigon 1 R. Rinaldo 1 A. Vitali 2 and P. Zontone1 1 Dipartimento di Ingegneria Elettrica Gestionale e Meccanica Universita degli Studi di Udine via delle Scienze 208 33100 Udine Italy 2 ST Microelectronics via C. Olivetti 2 20041 Agrate Brianza Italy Received 4 August 2004 Revised 20 December 2004 Accepted 21 February 2005 We propose a frame-based multiple-description video coder. The analysis filter bank is the extension of an orthogonal filter bank which computes the spatial polyphase components of the original video frames. The output of the filter bank is a set of video sequences which can be compressed with a standard coder. The filter bank design is carried out by taking into account two important requirements for video coding namely the fact that the dual synthesis filter bank is FIR and that loss recovery does not enhance the quantization error. We give explicit results about the required properties of the redundant channel filter and the reconstruction error bounds in case of packet errors. We show that the proposed scheme has good error robustness to losses and good performance both in terms of objective and visual quality when compared to single description and other multiple description video coders based on spatial subsampling. PSNR gains of 5 dB or more are typical for packet loss probability as low as 5 . Copyright 2006 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION Robust transmission of multimedia streams over error-prone packet networks has become an important issue in many scenarios including wireless communications and distributed networking. In such applications the usual approach of error recognition and packet retransmission may not be appropriate because of the excessive delay