UGC-VIDEO: Perceptual Quality Assessment of User-Generated Videos | IEEE Conference Publication | IEEE Xplore

UGC-VIDEO: Perceptual Quality Assessment of User-Generated Videos


Abstract:

Recent years have witnessed an ever-expanding volume of user-generated content (UGC) videos available on the Internet. Nevertheless, progress on perceptual quality assess...Show More

Abstract:

Recent years have witnessed an ever-expanding volume of user-generated content (UGC) videos available on the Internet. Nevertheless, progress on perceptual quality assessment of UGC videos still remains quite limited. A distinguished characteristic of UGC videos in the complete video production and delivery chain is that they often undergo multiple compression stages before ultimately viewed and there does not exist the pristine source after they are uploaded to the hosting platform. To facilitate the UGC video quality assessment (VQA), we create a UGC video perceptual quality assessment database. It contains 50 source videos collected from TikTok with diverse content, along with multiple transcoded versions generated by different coding standards and quantization levels. Subjective quality assessment has been conducted to evaluate the video quality. Furthermore, we benchmark the database using existing quality assessment algorithms, and potential room is observed to further improve the accuracy of UGC video quality measures.
Date of Conference: 06-08 August 2020
Date Added to IEEE Xplore: 25 August 2020
ISBN Information:
Conference Location: Shenzhen, China

I. Introduction

With the development of technologies such as multimedia and mobile networks, recent years have witnessed the explosion of UGC and related services. UGC videos created by end users have several unique characteristics. First, the lack of professional video capture equipment and proper shooting skills make the quality of UGC videos perceptually worse, which has been widely criticized by end-users. Second, the low barriers in video production make the UGC content extremely diverse, and special effects are often incorporated to enhance the user experience. Third, after being uploaded to the sharing platform, they often undergo another round of compression depending on the requirements of the hosting platform. As such, the artifacts from multiple rounds of distortion stages are induced, while pristine videos are absent in the hosting platform. Nevertheless, in the literature, the progress on UGC video quality assessment is quite limited, and the traditional VQA measures may not accommodate these distinct properties.

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References

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