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A Unified Estimation-Theoretic Framework For Error-Resilient Scalable Video Coding
Published on Sep 18, 20123028 Views
A novel scalable video coding (SVC) scheme is proposed for video transmission over lossy networks, which builds on an estimationtheoretic (ET) framework for optimal prediction and error concealment,
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Chapter list
A Unified Estimation-Theoretic Framework For Error-Resilient Scalable Video Coding00:00
A Sneak Peek (1)00:09
A Sneak Peek (2)01:15
Scalable Video Coding01:50
Enhancement Layer Prediction in SVC02:23
A Transform Domain Model03:01
Estimation-Theoretic SVC (1)04:13
Estimation-Theoretic SVC (2)04:45
Estimation-Theoretic SVC (3)05:06
Estimation-Theoretic SVC (4)05:10
ET-SVC over Lossy Networks05:54
EED Estimation via ROPE07:19
Proposed Approach for EED Estimation (1)07:48
Proposed Approach for EED Estimation (2)08:09
SCORE: Expected Distortion08:52
SCORE: Off-Grid Reference Challenge09:46
Solution to the Off-Grid Reference Challenge (1)10:29
Solution to the Off-Grid Reference Challenge (2)11:07
SCORE: Enhancement Layer Update Recursions (1)11:25
SCORE: Enhancement Layer Update Recursions (2)13:04
SCORE: Enhancement Layer Update Recursions (3)13:08
Solution to the Non-linearity Problem (1)13:19
Solution to the Non-linearity Problem (2)13:51
Solution to the Non-linearity Problem (3)14:04
Solution to the Non-linearity Problem (4)14:17
Solution to the Non-linearity Problem (5)14:48
Estimation Theoretic Concealment15:00
Results: The Competing Systems15:57
Enhancement Layer Decoding Quality Versus Bit-Rate16:59
Enhancement Layer Decoding Quality Versus PLR17:21
Conclusions17:53
Thanks18:20