{"title":"Objective quality analysis of MPEG-1, MPEG-2 & Windows Media video","authors":"P. Aeluri, V. Bojan, S. Richie, A. Weeks","doi":"10.1109/IAI.2004.1300978","DOIUrl":null,"url":null,"abstract":"Video quality estimation methods in the literature can be broadly classified into two classes: objective and subjective. The metrics obtained from both classes of methods represent different intrinsic features of a video (Eude, T. and Mayache, A., Proc. ICSP'98, 1998). However, we have performed an objective quality evaluation on various videos, which range from no motion to high motion, encoded by three encoders (MPEG-1, MPEG-2 and Windows Media formats) at two different frame rates, two frame sizes and three low bit rate combinations for the purpose of determining the change in video content introduced by the encoding and decoding process. The effect of the encoding, bit rates, frame rates and frame sizes on the quality of videos has been studied. We have defined and used a quality metric, cumulative brightness error. It is the cumulative mean square error of each frame's color components, averaged for the entire video sequence. It enables comparison of video formats based on content differences and encoding parameter values.","PeriodicalId":326040,"journal":{"name":"6th IEEE Southwest Symposium on Image Analysis and Interpretation, 2004.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th IEEE Southwest Symposium on Image Analysis and Interpretation, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAI.2004.1300978","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
Video quality estimation methods in the literature can be broadly classified into two classes: objective and subjective. The metrics obtained from both classes of methods represent different intrinsic features of a video (Eude, T. and Mayache, A., Proc. ICSP'98, 1998). However, we have performed an objective quality evaluation on various videos, which range from no motion to high motion, encoded by three encoders (MPEG-1, MPEG-2 and Windows Media formats) at two different frame rates, two frame sizes and three low bit rate combinations for the purpose of determining the change in video content introduced by the encoding and decoding process. The effect of the encoding, bit rates, frame rates and frame sizes on the quality of videos has been studied. We have defined and used a quality metric, cumulative brightness error. It is the cumulative mean square error of each frame's color components, averaged for the entire video sequence. It enables comparison of video formats based on content differences and encoding parameter values.
文献中的视频质量估计方法大致可以分为两类:客观的和主观的。从这两类方法中获得的度量代表了视频的不同内在特征(Eude, T. and Mayache, a ., Proc. ICSP' 1998,1998)。然而,我们对各种视频进行了客观的质量评估,这些视频从无运动到高运动,由三种编码器(MPEG-1, MPEG-2和Windows Media格式)以两种不同的帧速率,两种帧大小和三种低比特率组合编码,以确定编码和解码过程中引入的视频内容的变化。研究了编码、码率、帧率和帧大小对视频质量的影响。我们定义并使用了一个质量度量,即累积亮度误差。它是每帧颜色分量的累积均方误差,对整个视频序列进行平均。它支持基于内容差异和编码参数值的视频格式比较。