VP8 Codec SDK "Aylesbury" Release
What's an Aylesbury? It's a breed of duck. We like ducks, so we plan to use duck-related names for each major libvpx release, in alphabetical order. Our goal is to have one named release of libvpx per calendar quarter, each with a theme.
You can download the Aylesbury libvpx release from our Downloads page or check it out of our Git repository and build it yourself. In the coming days Aylesbury will be integrated into all of the WebM project components (DirectShow filters, QuickTime plugins, etc.). We encourage anyone using our components to upgrade to the Aylesbury releases.
For Aylesbury the theme was faster decoder, better encoder. We used our May 19, 2010 launch release of libvpx as the benchmark. We're very happy with the results (see graphs below):
- 20-40% (average 28%) improvement in libvpx decoder speed
- Over 7% overall PSNR improvement (6.3% SSIM) in VP8 "best" quality encoding mode, and up to 60% improvement on very noisy, still or slow moving source video.
- Single-core assembly "hot spot" optimizations, including improved vp8_sixtap_predict() and SSE2 loopfilter functions
- Threading improvements for more efficient use of multiple processor cores
- Improved memory handling and reduced footprint
- Combining IDCT and reconstruction steps
- SSSE3 usage in functions where appropriate
- Adaptive width and strength alternate reference frame noise suppression filter with optional motion compensation.
- Transform improvements (improved accuracy and reduction in round trip error)
- Trellis-based quantized coefficient optimization
- Two-pass rate control and quantizer changes
- Rate distortion changes
- Zero bin and rounding changes
- Work on MB-level quality control and bit allocation
WebM at Streaming Media West
Members of the WebM project will discuss Aylesbury during a session at the Streaming Media West conference on November 3rd (session C203: WebM Open Video Project Update). For more information, visit www.streamingmedia.com/west.
John Luther is Product Manager of the WebM Project.