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VAPOR: Variance-aware per-pixel optimal resource allocation
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DOI：10.1109/TIP.2005.860600.png)
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Characterizing the video quality seen by an end-user is a critical component of any video transmission system. In packet-based communication systems, such as wireless channels or the Internet, packet delivery is not guaranteed. Therefore, from the point-of-view of the transmitter, the distortion at the receiver is a random variable. Traditional approaches have primarily focused on minimizing the expected value of the end-to-end distortion. This paper explores the benefits of accounting for not only the mean, but also the variance-of the end-to-end distortion when allocating limited source and channel resources. By accounting for the variance of the distortion, the proposed approach increases the reliability of the system-by making it more likely that what the end-user sees, closely resembles the mean end-to-end distortion calculated at the transmitter. Experimental results demonstrate that variance-aware resource allocation can help limit error propagation and is more robust to channel-mismatch than approaches whose goal is to strictly minimize-the expected distortion.
Keyword:
error analysis
multimedia communication
teleconferencing
video coding
videophone systems
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期刊
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13.7
论文数:
1.0W
被引数:
8.4W
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Advances in efficient resource allocation for packet-based real-time video transmission.png)
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