Which is the best quality video?

As video consumption becomes popular, demand for high quality of experience of consumed videos is also increasing. Moreover, the need for duplicate video file management has rapidly increased depending on the quality. While online video sharing is popular, quality assessment of videos is challenging due to lack of reference videos and simultaneous involvement of diverse quality factors. In this paper, we propose a no-reference visual quality assessment method for various kinds of video. The method combines two types of measure to predict the visual quality score. One is the sharpness factors, which are related to the edge regions of video frames, and the other is the overall distortions. We show experimental results for quality assessment accuracy of video.