Releases: OpenVisualCloud/Intel-Tiber-Broadcast-Suite
Releases · OpenVisualCloud/Intel-Tiber-Broadcast-Suite
24.07
pre-0.9
Summary of Changes for Intel® Tiber™ Broadcast Suite - Initial Release:
New Features:
- Comprehensive Integration with FFmpeg: Enhanced version of FFmpeg tailored with Intel's patches for optimized media handling.
- Advanced Media Processing: Integration of Intel® QSV and OneVPL for GPU-accelerated processing.
- SMPTE ST 2110 Compliance: Full support for media transport protocols ensuring high compatibility and performance in professional environments.
- JPEG XS Support: Includes encoding and decoding capabilities for JPEG XS, optimizing bandwidth and storage.
- GPU Media Rendering: Utilizes Intel Flex GPU cards for efficient media rendering tasks.
- Intel® QSV and OneVPL libraries: These libraries support hardware-accelerated media processing with Intel Flex GPU cards, enhancing the performance of the Suite.
- DPC++ kernels: Although not supported in this release, the Suite is designed to enable custom effect filters used in video production in future releases.
- OpenGL/Vulcan integration: This feature, although not supported in this release, will allow display rendering effects in future versions.
- Performance features: The Suite includes several performance features such as memory management optimizations for page-aligned surface allocations, asynchronous execution of video pipeline filters to maximize GPU utilization, and high-throughput GPU-CPU memory data transfers.
- Media Communications Mesh Plugin: This plugin allows single or multiple instances of FFmpeg with Media Communications Mesh Plugin to connect to selected Media Proxy instance, enhancing the efficiency of the Suite.
- Support for PTP Time synchronization: This feature uses Media Transport Library PTP Time synchronization feature, enhancing the synchronization of the Suite.
- Support for changing input and output streams Payload ID: This feature adds flexibility to the deployment of the Suite.
Enhancements:
- Optimized Memory Management: Improvements in memory allocation that enhance performance and reduce latency.
- Asynchronous Execution: Video pipeline filters operate asynchronously to maximize GPU utilization.
- High-Throughput Transfers: Enhanced GPU-CPU memory data transfers for high-performance media streaming.