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Technology: Asset Pipeline

Asset Pipeline encompasses the journey of our reusable assets from asset ingest, classification and storage, to retrieval from any location and its subsequent transformation.

Objectives

  • To define asset types, descriptors, pipeline requirements and use scenarios for media systems that are capable of supporting, generating, storing and re-purposing smart assets with a very high level of automation.
  • To research and develop a framework and tools for automatically classifying, validating and finding smart assets, using deep learning and semantic labelling techniques to describe and draw inferences from two dimensional and three-dimensional data.
  • To develop and test a storage system for smart assets that combines local and cloud storage so that assets can be delivered irrespective of the user or asset location.
  • To test the prototype technologies and tool-kits in a series of experimental productions and evaluate their performance in realistic contexts of professional use.
  • To demonstrate and promote the above concepts and prototypes to the media industry and its users, including publishing a draft specification for an open standard, for industry approval, adoption and development by third parties.

Want more information?

Head to the Asset Pipeline Docs page for our internal documentation
More information can also be found in our list of Papers
Head to the Downloads page for the Love & 50 Megatons assets developed by Filmakadamie

Experimental Production

LED Wall shoot in Mannheim

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