A Novel No-Reference Metric for Estimating the Impact of Frame Freezing Artifacts on Perceptual Quality of Streamed Videos.
Muhammad Arslan UsmanMuhammad Rehan UsmanSoo Young ShinPublished in: IEEE Trans. Multim. (2018)
Keyphrases
- perceptual quality
- quality metrics
- image quality assessment
- reduced reference
- video quality
- video frames
- image quality
- visual quality
- video content
- quality assessment
- structural similarity
- quality evaluation
- frame rate
- image quality metrics
- video signals
- video sequences
- key frames
- human visual system
- high quality
- image quality measures
- human perception
- high frequency
- distorted images
- bit rate
- quality measures
- data quality
- video data
- peak signal to noise ratio
- image database
- video streaming
- error concealment
- evaluation metrics
- bitstream
- video coding
- image sequences