In this paper, we present a large-scale HDR video quality dataset for sports content that includes the above mentioned important issues in live streaming, and a method of merging multiple datasets using anchor videos.
During the Winter Conference on Applications of Computer Vision (WACV), Prime Video’s Yongjun Wu and Sriram Sethuraman discussed Video/Audio Quality in Computer Vision, and Hai Wei presented the HDR VQM Grand Challenge awards.
We conducted the first large-scale study of medium and low-bitrate videos from live sports for two codecs (Elemental AVC and HEVC) and created the Amazon Prime Video Low-Bitrate Sports (APV LBS) dataset.
In this study towards better quality assessment of high-quality videos, a subjective study was conducted focusing on high-quality HD and UHD content with the Degradation Category Rating (DCR) protocol.
We built a video quality database specifically designed for live streaming VQA research. The new video database is called the Laboratory for Image and Video Engineering (LIVE) Live stream Database. The LIVE Livestream Database includes 315 videos of 45 contents impaired by 6 types of distortions.