GStreamer Buffer Synchronization
GStreamer Buffer Synchronization! GStreamer Buffer Synchronization.
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GStreamer Buffer Synchronization | ||||||||||||||||||||
This wiki is a user guide for our GStreamer Buffer Synchronization project. What is GStreamer Buffer Synchronization?The GStreamer Buffer Synchronization is the new stream synchronization library + GStreamer plug-in. It allows synchronizing two or more media (video, sound, and metadata) streams based on their timestamps. | ||||||||||||||||||||
Use casesWondering how and when to use GStreamer Buffer Synchronization?
All the applications operate within an isochronous (same data frequency) framework. For testing purposes, RidgeRun offers an evaluation version. Please refer to Contact Us. Supported BackendsThe GStreamer Buffer Synchronization Plug-In has been validated in:
Tested PlatformsThe RidgeRun GStreamer Buffer Synchronization has been validated on the following platforms:
Given that the GStreamer Buffer Synchronization is agnostic and does not depend on any device for acceleration, other Linux-based platforms should be compatible. For validation, please visit Evaluating the GStreamer Buffer Synchronization plug-in page. Get GStreamer Buffer SynchronizationThe GStreamer Buffer Synchronization plug-in and library are RidgeRun's professional products. You can place an order below.
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RidgeRun Support | ||||||||||||||||||||
RidgeRun provides support for embedded Linux development for NVIDIA, Xilinx, Freescale/NXP, and Texas Instruments platforms, specializing in multimedia applications. This page contains detailed guides and information on how to get started with GStreamer Buffer Synchronization and start using its full capabilities. To get up-to-speed with your GStreamer Buffer Synchronization, start by clicking below:
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For direct inquiries, please refer to the contact information available on our Contact page. Alternatively, you may complete and submit the form provided at the same link. We will respond to your request at our earliest opportunity.
Links to RidgeRun Resources and RidgeRun Artificial Intelligence Solutions can be found in the footer below.
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