tailieunhanh - Báo cáo hóa học: "A Framework for Advanced Video Traces: Evaluating Visual Quality for Video Transmission Over Lossy Network"

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: A Framework for Advanced Video Traces: Evaluating Visual Quality for Video Transmission Over Lossy Network | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 42083 Pages 1-21 DOI ASP 2006 42083 A Framework for Advanced Video Traces Evaluating Visual Quality for Video Transmission Over Lossy Networks Osama A. Lotfallah 1 Martin Reisslein 2 and Sethuraman Panchanathan1 1 Department of Computer Science and Engineering Arizona State University Tempe AZ 85287 USA 2 Department of Electrical Engineering Arizona State University Tempe AZ 85287-5706 USA Received 11 March 2005 Revised 1 August 2005 Accepted 4 October 2005 Conventional video traces which characterize the video encoding frame sizes in bits and frame quality in PSNR are limited to evaluating loss-free video transmission. To evaluate robust video transmission schemes for lossy network transport generally experiments with actual video are required. To circumvent the need for experiments with actual videos we propose in this paper an advanced video trace framework. The two main components of this framework are i advanced video traces which combine the conventional video traces with a parsimonious set of visual content descriptors and ii quality prediction schemes that based on the visual content descriptors provide an accurate prediction of the quality of the reconstructed video after lossy network transport. We conduct extensive evaluations using a perceptual video quality metric as well as the PSNR in which we compare the visual quality predicted based on the advanced video traces with the visual quality determined from experiments with actual video. We find that the advanced video trace methodology accurately predicts the quality of the reconstructed video after frame losses. Copyright 2006 Osama A. Lotfallah 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. 1. INTRODUCTION The increasing .