Abstract
Multiple description coding and path diversity is known to improve the perceptual quality of the received video. This paper considers a machine learning based technique to predict the perceived video quality, in terms of Mean Opinion Score for MDC Stereoscopic video. The perceived experience is expressed as a function of the three-dimensional video representation (color-plus-depth and left-right), the path diversity characterized by asymmetric packet losses between two available paths and the interpolation using a single description delivered over a reliable link as opposed to using multiple unreliable delivered descriptions.
| Original language | English |
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| Title of host publication | 2014 IEEE International Conference on Image Processing, ICIP 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 66-70 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781479957514 |
| DOIs | |
| Publication status | Published - 28 Jan 2014 |
| Externally published | Yes |
Publication series
| Name | 2014 IEEE International Conference on Image Processing, ICIP 2014 |
|---|
Bibliographical note
Publisher Copyright:© 2014 IEEE.
Keywords
- C4.5
- color-plus-depth
- left-right
- MDC
- MOS