Study of Subjective and Objective Quality Assessment of Video
Intel (United States) · The University of Texas at Austin
Abstract
We present the results of a recent large-scale subjective study of video quality on a collection of videos distorted by a variety of application-relevant processes. Methods to assess the visual quality of digital videos as perceived by human observers are becoming increasingly important, due to the large number of applications that target humans as the end users of video. Owing to the many approaches to video quality assessment (VQA) that are being developed, there is a need for a diverse independent public database of distorted videos and subjective scores that is freely available. The resulting Laboratory for Image and Video Engineering (LIVE) Video Quality Database contains 150 distorted videos (obtained…
Citation impact
- FWCI
- 75.86
- Percentile
- 100%
- References
- 33
Authors
4Topics & keywords
- Subjective video quality
- Video quality
- Computer science
- Uncompressed video
- PEVQ
- Distortion (music)
- Image quality
- Quality (philosophy)