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# Libva Project

Libva is an implementation for VA-API (Video Acceleration API)

VA-API is an open-source library and API specification, which

provides access to graphics hardware acceleration capabilities

for video processing. It consists of a main library and

driver-specific acceleration backends for each supported hardware 

vendor.

If you would like to contribute to libva, check our [Contributing

guide](https://github.com/intel/libva/blob/master/CONTRIBUTING.md).

We also recommend taking a look at the ['janitorial'

bugs](https://github.com/intel/libva/issues?q=is%3Aopen+is%3Aissue+label%3AJanitorial)

in our list of open issues as these bugs can be solved without an

extensive knowledge of libva.

We would love to help you start contributing!

Doxygen files are regularly updated through Github Pages and can

be accessed directly through [github pages

libva](http://intel.github.io/libva/)

The libva development team can be reached via our [mailing

list](https://lists.01.org/mailman/listinfo/intel-vaapi-media) and on IRC

in channel ##intel-media on [Freenode](https://freenode.net/kb/answer/chat).

We also use [#Slack](https://slack.com) and host [VAAPI Media Slack

Team](https://intel-media.slack.com).  You can signup by submitting your email 

address to our [Slack Team invite page](https://slack-join-intel-media.herokuapp.com).

Slack complements our other means of communication.  Pick the one that works

best for you!