| Paper: | TA-P5.1 |
| Session: | Video Coding II |
| Time: | Tuesday, September 18, 09:50 - 12:30 |
| Presentation: |
Poster
|
| Title: |
COMPLEXITY SCALABLE HYBRID END-TO-END DISTORTION ESTIMATION FOR CONVERSATIONAL VIDEO STREAMING |
| Authors: |
Hua Yang; Corporate Research, Thomson Inc. | | |
| | Xiaohui Wei; University of Texas at Arlington | | |
| | Jill Boyce; Corporate Research, Thomson Inc. | | |
| Abstract: |
In conversational video streaming applications, periodic I-frame coding is not allowed due to strict low delay requirement. For this scenario, we propose a novel hybrid paradigm, which takes advantage of both accurate pixel-level estimation and efficient block-level estimation. Specifically, error propagated (EP) distortion from the last N coded frames are exactly calculated per pixel for high accuracy, while EP effect beyond the frame limit N are estimated per macroblock for low complexity. By varying the frame limit, flexible trade-offs between complexity and performance can be achieved, rendering our scheme especially suitable for wireless video streaming, where stringent power resource is always a challenge. Simulation results justify the effectiveness of the proposed hybrid ED estimation scheme. |
