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CoreAVC H 264 Video Codec Professional v1 9 5 0 [

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CoreAVC H 264 Video Codec Professional v1 9 5 0 [

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Name:CoreAVC H 264 Video Codec Professional v1 9 5 0 [

Total Size: 1.47 MB

Magnet: Magnet Link

Seeds: 0

Leechers: 0

Stream: Watch Online @ Movie4u

Last Updated: 2011-11-12 01:30:38 (Update Now)

Torrent added: 2009-08-28 22:05:27



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CoreAVC H.264 Video Codec Professional v1.9.5.0.rar (Size: 1.47 MB) (Files: 3)

 CoreAVC H.264 Video Codec Professional v1.9.5.0.rar

1.47 MB

 CoreAVC H.264 Video Codec Professional v1.9.5.0.sfv

0.29 KB

 nfo.nfo

1.54 KB
 

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Torrent description

CoreAVC
http://www.coreavc.com/

The CoreCodec CoreAVC High Definition H.264 video codec is based on the MPEG-4 Part 10 standard and is the video codec used in AVCHD, Blu-Ray and in HD-DVD.

The CoreAVC High Definition H.264 video codec is widely
known as the world's fastest and most efficient H.264
video software decoder (Now featuring NVIDIA CUDA Hardware
Support!). CoreAVC's performance in playing back H.264 video
content is unsurpassed compared to other software solutions
and represents a continued commitment from the CoreCodec
development team to deliver the best products in technlogy
and multimedia.

The efficiency of CoreAVC in 'software' is often compared to be faster than other solutions that try to rely on 'hardware' to increase playback performance of H.264 video.

CoreAVC™ Professional Edition Decoder:
- H.264 Baseline, Main, High profile support
- Interlaced support (PAFF and MBAFF)
- Lossless 4:2:0 support
- SMP (multi-core CPU) support (limit 4)
- GPU support (NVIDIA CUDA)

What's new in this release
======================================================
CoreAVC H.264 Video Codec - Version 1.9.5.0 (20090316)
- Add: NVIDIA CUDA accelerated decoding for interlaced streams (MBAFF and PAFF)
- Add: Input stream colorspace override options
- Fix: CUDA matrix handling and DPB management improvements
- Fix: SEI messages were sometimes discarded
- Fix: Seeking problems with Canon HF100 streams
- Fix: Use faster asynchronous memory transfers between CPU<->GPU for CUDA

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