Bit Allocation for Spatial Scalability in H.264/SVC

We propose a model-based spatial layer bit allocation algorithm for H.264/SVC in this work. The spatial scalability of H.264/SVC is achieved by a multi-layer approach, where an enhancement layer is bound by the dependency on its preceding layers. The inter-layer dependency is decoupled in our analysis by a careful examination of the signal flow in the H.264/SVC encoder. We show that the rate and the distortion (R-D) characteristics of a dependent layer can be represented by a number of independent functions with a group of pictures (GOP) as a basic coding unit. Finally, a low complexity spatial layer bit allocation scheme is developed using the proposed GOP-based R-D models. It is shown by experimental results that our proposed bit allocation algorithm can achieve the coding performance close to the optimal R-D performance of full search and is significantly improved from current reference software JSVM.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000263468300051&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Computer Science, Artificial IntelligenceComputer Science, Information SystemsEngineering, Electrical & ElectronicTelecommunicationsEICPCI-S(ISTP)