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Title: Status: Lagrange Multiplier Selection for Rate-Distortion Optimization in SVC Input Document to JVT (2009)
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@MISC{Li09title:status:,
author = {Xiang Li and Peter Amon and Andreas Hutter and André Kaup},
title = {Title: Status: Lagrange Multiplier Selection for Rate-Distortion Optimization in SVC Input Document to JVT},
year = {2009}
}
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Abstract
The Lagrange multiplier based rate-distortion optimization (RDO) has been widely employed in single layer video coding. During the development of scalable video coding (SVC) extension of H.264/AVC, it was directly applied in a multi-layer scenario. However, such an application is not very efficient since the correlation between layers is not considered in the Lagrange multiplier selection. To improve the overall performance, in this contribution a new selection algorithm is presented for RDO in SVC. Simulations show that the proposed method outperforms the most recent SVC reference software (JSVM 9.15). With small computational cost, average gains of 0.22 dB and 0.35 dB were reportedly achieved in the tests of four-layer quality scalability and three-layer spatial scalability, respectively. 1.
Keyphrases
lagrange multiplier selection rate-distortion optimization svc input document average gain single layer video new selection algorithm recent svc reference software four-layer quality scalability small computational cost multi-layer scenario overall performance lagrange multiplier scalable video coding three-layer spatial scalability
