期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2013
卷号：4
期号：3
页码：95
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Video/Image quality assessment (VQA/IQA) is fundamental in various fields of video/image processing.VQA reflects the quality of a video as most people commonly perceive. This paper proposes a reducedreferencemobile VQA, in which one-dimensional (1-D) motion vector (MV) distributions are used asfeatures of videos. This paper focuses on reduction of data size using Laplacian modeling of MVdistributions because network resource is restricted in the case of mobile video. The proposed method ismore efficient than the conventional methods in view of the computation time, because the proposed qualitymetric decodes MVs directly from video stream in the parsing process rather than reconstructing thedistorted video at a receiver. Moreover, in view of data size, the proposed method is efficient because asender transmits only 28 parameters. We adopt the Laplacian distribution for modeling 1-D MVhistograms. 1-D MV histograms accumulated over the whole video sequences are used, which is differentfrom the conventional methods that assess each image frame independently. For testing the similaritybetween MV histogram of reference and distorted videos and for minimizing the fitting error in Laplacianmodeling process, we use the chi-square method. To show the effectiveness of our proposed method, wecompare the proposed method with the conventional methods with coded video clips, which are codedunder varying bit rate, image size, and frame rate by H.263 and H.264/AVC. Experimental results showthat the proposed method gives the performance comparable with the conventional methods, especially, theproposed method requires much lower transmission data.
关键词：H.263; H.264/AVC; mobile video; motion vectors; reduced-reference; video quality assessment
