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| Paper: | MSP-P3.10 |
| Session: | Multimedia Communication, Networking and Security II |
| Time: | Friday, May 21, 15:30 - 17:30 |
| Presentation: |
Poster |
| Topic: |
Multimedia Signal Processing: Multimedia Communication and Networking |
| Title: |
DISTORTION CHAINS FOR PREDICTING THE VIDEO DISTORTION FOR GENERAL PACKET LOSS PATTERNS |
| Authors: |
Jacob Chakareski; Stanford University | | |
| | John Apostolopoulos; Hewlett-Packard Company | | |
| | Wai-tian Tan; Hewlett-Packard Company | | |
| | Susie Wee; Hewlett-Packard Company | | |
| | Bernd Girod; Stanford University | | |
| Abstract: |
When designing a system for video communication over a lossy packet network, it is highly beneficial to have a mechanism for accurately predicting the mean-squared error (MSE) distortion that results from different packet loss patterns. This paper proposes Distortion Chains model for accurately predicting the end-to-end distortion for different general packet loss patterns. The performance is examined using JVT/H.264 encoded video sequences and previous frame error concealment. It is shown that for all tested sequences the proposed model predicts the total distortion due to a packet loss pattern within a 10 % error bound 80 % of the time, as compared to the conventional additive approach which achieves the same accuracy less then 40 % of the time. |
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