Intel oneVPL Preps For Battlemage, Adds AI-Based Super Resolution
Intel has released a new version of their open-source Video Processing Library (VPL) for hardware-accelerated video encode / decode / processing across Intel graphics hardware.
The Intel VPL API 2.13 adds new APIs for facilitating AV1 screen content tools, encoded picture quality information, alpha channel encoding, AI-based frame interpolation, and AI-based super resolution support. Plus Intel oneVPL 2.13 adds initial support for Battlemage discrete graphics that are launching in the coming months.
In addition to the new APIs, for helping new developers embrace the Intel Video Processing Library is now a "hello-encode-jpeg" code example included for demonstrating JPEG encode with this VPL library.
Downloads and more details on the updated Intel Video Processing Library via GitHub.
The Intel VPL API 2.13 adds new APIs for facilitating AV1 screen content tools, encoded picture quality information, alpha channel encoding, AI-based frame interpolation, and AI-based super resolution support. Plus Intel oneVPL 2.13 adds initial support for Battlemage discrete graphics that are launching in the coming months.
In addition to the new APIs, for helping new developers embrace the Intel Video Processing Library is now a "hello-encode-jpeg" code example included for demonstrating JPEG encode with this VPL library.
Downloads and more details on the updated Intel Video Processing Library via GitHub.
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