Name
Abstract | ||
|---|---|---|
In 2007, the International Telecommunication Union (ITU) standardized a multimedia quality assessment model as ITU-T Recommendation G.1070. The video quality estimation model proposed in this document uses the encoded bit rate and frame rate of the compressed video, along with the expected packet loss rate of the channel, to predict the subjective video quality. The model was designed as a video quality planning tool and requires prior knowledge of or assumptions about the video and channel parameters. This paper considers the use of the G.1070 video quality estimation model for monitoring applications, where the input parameters themselves must be estimated from the observed bitstream. We address the issues that arise when estimating these video and channel parameters from a real-time video stream. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICME.2011.6012071 | ICME |
Keywords | Field | DocType |
expected packet loss rate,encoded bit rate,video quality planning tool,video quality estimation model,video quality monitoring,real-time video stream,g.1070 video quality estimation,multimedia quality assessment model,frame rate,subjective video quality,channel parameter,feature extraction,mathematical model,video compression,video quality,estimation,data compression,planning,real time | Block-matching algorithm,Video processing,Computer science,Motion compensation,Real-time computing,Subjective video quality,Video tracking,Video quality,Rate–distortion optimization,Scalable Video Coding | Conference |
ISSN | Citations | PageRank |
1945-7871 | 5 | 0.54 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Niranjan D. Narvekar | 1 | 14 | 1.03 |
| Tao Liu | 2 | 5 | 0.54 |
| Dekun Zou | 3 | 342 | 28.26 |
| Jeffrey A Bloom | 4 | 377 | 52.32 |