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Media Analytics

By incorporating technologies that include Artificial Intelligence (AI) and leveraging IoT edge devices, developers can create sophisticated media analytics applications that can do everything from detecting suspicious intruders in a security camera feed to minimizing commute times by analyzing and surveying flow patterns from the traffic camera in a smart city.

Dockers - Setup

To find out more about using Docker and the Dockerfiles to build Open Visual Cloud pipelines, visit the Get Started With Docker page.

Reference Pipeline for Media Analytics

Reference pipelines are provided to serve as a starting point for end-to-end Open Visual Cloud service creation and innovation, with everything needed to build these sample services.  

Intelligent Ad-Insertion Sample

The intelligent ad-insertion reference pipeline shows how the integration of the various media building blocks, including SVT, with analytics powered by the OpenVINO™ Toolkit, work together to accelerate your converged media pipeline. This is a server-side ad insertion sample (not a finished product) that can be referenced by developers to ease application development challenges. It enables real time analytics of media content that powers intelligent selection of advertisements, resulting in personalized and higher affinity targeted ad placements.

Media Analytics - Related Dockerfiles

In addition to the end-to-end reference pipelines above, several other Dockerfile packages are provided offering just the components needed for your project or custom pipeline. Updates will be provided here on a regular basis.

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Open Visual Cloud Dockerfile - DLDT+FFmpeg

Getting Started -> DLD+FFmpeg Read me

What's inside the DLDT-FFmpeg Github Repo?

  • CMakeList.txt - Text file needed to install CMake
  • Dockerfile - Dockerfile that Docker runs to install DLDT-FFmpeg
  • Dockerfile.m4 - Dockerfiles
  • build.sh - Build script
  • shell.sh - Container script 

DLDT+FFmpeg: image optimized for media analytics. The FFmpeg image is included. The inferencing engine and object tracking plugins are also included.

Platform: Intel® Xeon (CPU) - Read Me

 

 

 

 

 

 

 

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Open Visual Cloud Dockerfile - DLDT+GStreamer

Getting Started -> DLDT+GStreamer

What's inside the DLDT+GStreamer Github Repo?

  • CMakeList.txt - Text file needed to install CMake
  • Dockerfile - Dockerfile that Docker runs to install DLDT+GStreamer 
  • Dockerfile.m4 - Dockerfiles
  • build.sh - Build script
  • shell.sh - Container script 

DLDT+GStreamer:  image optimized for media analytics. The GStreamer image is included. The inferencing engine and object tracking plugins are also included.

Platform: Intel® Xeon® (CPU) - Read Me

 

 

 

 

 

 

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Visual Cloud Accelerator Card – Analytics


 

 

 

 

 

 

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Project: 
Open Visual Cloud