Quality measurement of audiovisual signals based on digital watermarking

基于数字水印的视听信号质量测量

基本信息

批准号：
227781-2007
负责人：
Zhao, Jiying
金额：
$ 1.09万
依托单位：
University of Ottawa
依托单位国家：
加拿大
项目类别：
Discovery Grants Program - Individual
财政年份：
2011
资助国家：
加拿大
起止时间：
2011-01-01 至 2012-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=478610
关键词：
Quality measurement audiovisual signals based

项目摘要

The quality measurement of image, video, speech and audio is of critical importance in today's video broadcasting, telephony networks, transmission control, and e-commerce, mainly because quality is a key determinant of customer satisfaction and a key indicator of transmission condition. Subjective quality evaluation is highly unsuitable for online monitoring and broadcasting applications and is also very expensive and time consuming. The existing objective quality measurement metrics need the original signal for comparison. This requirement makes these metrics less than optimal for those applications that require audiovisual signals to be broadcasted or transmitted through the data network such as for television video, mobile video, or internet telephony. We propose to measure the quality of audiovisual signals based on digital watermarking. Our recent research achievements have demonstrated the feasibility and promise. We believe that we will be able to propose methods that can measure the quality of not only image and speech, but also video and audio; that can measure the effects of not only JPEG compression and MP3 compression, but also all kinds of common distortions to image, video, speech and audio; and that can measure the effects of not only individual distortion, but also combined multiple distortions. The envisaged quality measurement methods will significantly contribute to the video and audio broadcasting and telephony industries, and other areas such as forensic analysis and content authentication.

在当今的视频广播，电话网络，传输控制和电子商务中，图像，视频，语音和音频的质量测量至关重要，主要是因为质量是客户满意度的关键决定因素和传输状况的关键指标。主观质量评估非常不适合在线监视和广播应用程序，并且非常昂贵且耗时。现有的客观质量测量指标需要原始信号进行比较。对于那些需要通过数据网络（例如电视视频，移动视频或互联网电话）来广播或传输的应用程序，这些指标使这些指标远不及最佳。我们建议根据数字水印来衡量视听信号的质量。我们最近的研究成就证明了可行性和希望。我们相信，我们将能够提出可以衡量不仅图像和语音质量的方法，还可以衡量视频和音频的质量；这不仅可以衡量JPEG压缩和MP3压缩的影响，还可以衡量图像，视频，语音和音频的各种常见扭曲；这不仅可以衡量个体失真的影响，还可以衡量多种变形的效果。所设想的质量测量方法将极大地促进视频和音频广播和电话行业，以及其他领域，例如法医分析和内容认证。