Fast and memory-efficient up-sampling methods for H.264/AVC SVC with extended spatial scalability

The inter-layer prediction (ILP) including intra, residual, and motion up-sampling operation in SVC significantly increased the compression ratio compared with simulcast. The up-sampling algorithms of ILP, however, require much more memory and computational load than single-layer coding because they...

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Bibliographic Details
Published in:IEEE transactions on consumer electronics 2010-05, Vol.56 (2), p.695-703
Main Authors: Kim, Yong-Hwan, Yi, Jooyoung, Choi, Byeongho
Format: Article
Language:English
Subjects:
Algorithms
Automatic voltage control
Blocking
Buffer storage
Buffers
Decision support systems
Decoding
Electronic switching systems
Electronics
Extended Spatial Scalability (ESS)
Finite impulse response filter
Intra up-sampling
IPTV
Mathematical analysis
Memory
Referencing
Residual upsampling
Scalability
Scalable Video Coding (SVC)
Static VAr compensators
Strategy
Studies
Video coding
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Summary:The inter-layer prediction (ILP) including intra, residual, and motion up-sampling operation in SVC significantly increased the compression ratio compared with simulcast. The up-sampling algorithms of ILP, however, require much more memory and computational load than single-layer coding because they require several large buffers for storing up-sampled data, four-tap FIR filter, and many conditional branches, et al. This paper presents macroblock (MB)-based up-sampling methods using just-in-time strategy, where intra and residual up-sampling operations for extended spatial scalability (ESS) are selectively performed by using MB information of enhancement layer. Especially, residual up-sampling operations are largely simplified by determining transform block identification for only luma plane and by calculating and referencing the identification per 4×4 block instead of pixel. Experimental results show that the proposed algorithms speed-up the total decoding time of 3-layer (SIF/SD/Full-HD) sequences by about 64% on average and reduce the memory consumption required for up-sampling operations by about 99%, compared with the existing picture-based up-sampling algorithm for ESS.
ISSN:0098-3063
1558-4127
DOI:10.1109/TCE.2010.5505990