Name
Abstract | ||
|---|---|---|
Understanding the characteristics of high-quality professional videos is important for video classification, video quality measurement, and video enhancement. A professional video is good not only for its interesting story but also for its high visual quality. In this paper, we study what makes a professional video from the perspective of aesthetics. We discuss how a professional video is created and correspondingly design a variety of features that distinguish professional videos from amateur ones. We study general aesthetics features that are applied to still photos and extend them to videos. We design a variety of features that are particularly relevant to videos. We examined the performance of these features in the problem of professional and amateur video classification. Our experiments show that with these features, 97.3% professional and amateur shot classification accuracy rate is achieved on our own data set and 91.2% professional video detection rate is achieved on a public professional video set. Our experiments also show that the features that are particularly for videos are shown most effective for this task. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TCSVT.2012.2189689 | IEEE Trans. Circuits Syst. Video Techn. |
Keywords | Field | DocType |
video signal processing,professional video detection rate,cinematography,video classification,video enhancement,image classification,aesthetics,video quality measurement,object detection,high visual quality,high-quality professional videos,public professional video set,computational aesthetic approach,image enhancement,amateur video classification,amateur shot classification accuracy rate,trajectory,lighting,video quality,feature extraction,visualization | Object detection,Computer vision,Visualization,Computer science,Amateur,Subjective video quality,Feature extraction,Artificial intelligence,Contextual image classification,Cinematography,Video quality,Multimedia | Journal |
Volume | Issue | ISSN |
22 | 7 | 1051-8215 |
Citations | PageRank | References |
18 | 0.91 | 33 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuzhen Niu | 1 | 248 | 12.68 |
| Feng Liu | 2 | 578 | 31.61 |