Video Quality Assessment Using Spatio-Velocity Contrast Sensitivity Function

被引:4
|
作者
Hirai, Keita [1 ]
Tumurtogoo, Jambal [1 ]
Kikuchi, Ayano [1 ]
Tsumura, Norimichi [1 ]
Nakaguchi, Toshiya [1 ]
Miyake, Yoichi [2 ]
机构
[1] Chiba Univ, Grad Sch Adv Integrat Sci, Chiba 2638522, Japan
[2] Chiba Univ, Res Ctr Frontier Med Engn, Chiba 2638522, Japan
来源
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2010年 / E93D卷 / 05期
关键词
objective video quality assessment; spatio-velocity contrast sensitivity function; image diffrence; subjective evaluation; rank order correlation coefficient; MOTION;
D O I
10.1587/transinf.E93.D.1253
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Due to the development and popularization of high-definition televisions, digital video cameras, Blu-ray discs, digital broadcasting, IP television and so on, it plays an important role to identify and quantify video quality degradations. In this paper, we propose SV-CIELAB which is an objective video quality assessment (VQA) method using a spatio-velocity contrast sensitivity function (SV-CSF). In SV-CIELAB, motion information in videos is effectively utilized for filtering unnecessary information in the spatial frequency domain. As the filter to apply videos, we used the SV-CSF. It is a modulation transfer function of the human visual system, and consists of the relationship among contrast sensitivities, spatial frequencies and velocities of perceived stimuli. In the filtering process, the SV-CSF cannot be directly applied in the spatial frequency domain because spatial coordinate information is required when using velocity information. For filtering by the SV-CSF, we obtain video frames separated in spatial frequency domain. By using velocity information, the separated frames with limited spatial frequencies are weighted by contrast sensitivities in the SV-CSF model. In SV-CIELAB, the criteria are obtained by calculating image differences between filtered original and distorted videos. For the validation of SV-CIELAB, subjective evaluation experiments were conducted. The subjective experimental results were compared with SV-CIELAB and the conventional VQA methods such as CIELAB color difference, Spatial-CIELAB, signal to noise ratio and so on. From the experimental results, it was shown that SV-CIELAB is a more efficient VQA method than the conventional methods.
引用
收藏
页码:1253 / 1262
页数:10
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