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 Readme for:  Development » Library » Graphics » libvpx.lha

Libvpx

Description: WebM VP8/VP9 Codec library
Download: libvpx.lha       (TIPS: Use the right click menu if your browser takes you back here all the time)
Size: 2Mb
Version: 1.6.1
Date: 18 Nov 2017
Author: WebM project / Google Inc.
Submitter: Michael Trebilcock
Homepage: http://downloads.webmproject.org/releases/webm/index.html
Category: development/library/graphics
Replaces: development/library/graphics/libvpx.lha
License: Other
Distribute: yes
Min OS Version: 4.0
FileID: 10387
 
Comments: 0
Snapshots: 0
Videos: 0
Downloads: 111  (Current version)
665  (Accumulated)
Votes: 0 (0/0)  (30 days/7 days)

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Newlib static and shared object port of libVPX, a freely available and
open-source video codec. Multithreading is not enabled in this port.


Changes (general):

2017-01-09 v1.6.1 "Long Tailed Duck"
  This release improves upon the VP9 encoder and speeds up the encoding and
  decoding processes.

  - Upgrading:
    This release is ABI compatible with 1.6.0.

  - Enhancements:
    Faster VP9 encoding and decoding.
    High bit depth builds now provide similar speed for 8 bit encode and decode
    for x86 targets. Other platforms and higher bit depth improvements are in
    progress.

  - Bug Fixes:
    A variety of fuzzing issues.

2016-07-20 v1.6.0 "Khaki Campbell Duck"
  This release improves upon the VP9 encoder and speeds up the encoding and
  decoding processes.

  - Upgrading:
    This release is ABI incompatible with 1.5.0 due to a new 'color_range' enum
    in vpx_image and some minor changes to the VP8_COMP structure.

    The default key frame interval for VP9 has changed from 128 to 9999.

  - Enhancement:
    A core focus has been performance for low end Intel processors. SSSE3
    instructions such as 'pshufb' have been avoided and instructions have been
    reordered to better accommodate the more constrained pipelines.

    As a result, devices based on Celeron processors have seen substantial
    decoding improvements. From Indian Runner Duck to Javan Whistling Duck,
    decoding speed improved between 10 and 30%. Between Javan Whistling Duck
    and Khaki Campbell Duck, it improved another 10 to 15%.

    While Celeron benefited most, Core-i5 also improved 5% and 10% between the
    respective releases.

    Realtime performance for WebRTC for both speed and quality has received a
    lot of attention.

  - Bug Fixes:
    A number of fuzzing issues, found variously by Mozilla, Chromium and others,
    have been fixed and we strongly recommend updating.

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