Motion-refined rewriting of H.264/AVC-coded video to SVC streams

In this paper, we discuss motion-refined rewriting of single-layer H.264/AVC streams to SVC streams with multiple quality layers. First, we elaborate on techniques we developed for efficient rewriting of residual data from H.264/AVC to SVC. We investigate if rate-distortion performance can further be improved by extending these architectures with motion refinement techniques, which exploit the inter-layer motion prediction mechanisms available in SVC. For optimum performance, we discuss a fast rate-distortion technique based on Lagrangian relaxation. Although motion refinement in the transform-domain leads to extra distortion in the bitstream, we show that our rate-distortion model successfully takes into account both base and enhancement layer rate and distortion during optimization. Implementation results show that motion-refined rewriting in the transform domain can increase rate-distortion performance, with gains of up to 0.5 dB for the SVC base layer. The presented rewriting architectures significantly reduce the computational complexity when compared to reencoding, with a speed-up by a factor of forty or more, even in the case of motion refinement.

► Motion-refined rewriting of single-layer H.264/AVC streams to SVC streams is discussed.
► We present a fast rate-distortion technique based on Lagrangian relaxation.
► The presented R&D model takes into account both base and enhancement layer rate and distortion.
► Motion-refined rewriting in the transform domain can increase rate-distortion performance.
► The presented architectures significantly reduce the computational complexity over reencoding.