Fast mode decision for scalable video coding based on neighboring macroblock analysis
Proceedings of the 2009 ACM symposium on Applied Computing
A statistical approach for fast mode decision in scalable video coding
IEEE Transactions on Circuits and Systems for Video Technology
Analysis of prediction mode decision in spatial enhancement layers in H.264/AVC SVC
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Selective inter-layer residual prediction for SVC-based video streaming
IEEE Transactions on Consumer Electronics
Fast mode decision algorithm for inter-layer coding in scalable video coding
IEEE Transactions on Consumer Electronics
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Rate-constrained coder control and comparison of video coding standards
IEEE Transactions on Circuits and Systems for Video Technology
Fast Mode Decision Algorithm for Inter-Frame Coding in Fully Scalable Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
Spatial Scalability Within the H.264/AVC Scalable Video Coding Extension
IEEE Transactions on Circuits and Systems for Video Technology
Rate-Distortion and Complexity Optimized Motion Estimation for H.264 Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Fast Mode Decision Using All-Zero Block Detection for Fidelity and Spatial Scalable Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Hi-index | 0.00 |
Recently, the H.264/AVC standard has been extended to incorporate Scalable Video Coding (SVC). SVC offers the advantage of scalable (layered) coding, but has the disadvantage of a highly increased computational complexity at the encoder side when dealing with spatial scalability. To restrict the increase in required processing power, fast mode decision models for spatial enhancement layers have been proposed in literature. We propose a novel generic fast mode decision model for spatial enhancement layers for both P and B frames based on both the quantization of the enhancement layer and the correlation between the macroblock type in the enhancement layer and the co-located macroblock in the reference layer. In this paper, an evaluation of the proposed model and comparison with a state-of-the-art model is given. Results show that the proposed technique performs exceptionally well for spatial scalability. For both dyadic and non-dyadic spatial scalability, we achieve an average time saving of 75%, while only a slight bit rate increase of 2.23% and a minor PSNR decrease of 0.46 dB are measured. Compared with state of the art techniques, we further halve the complexity while having comparable rate-distortion results.