What is an API based Media Asset Management (MAM) solution and how can it dramatically simplify storage, organization & retrieval of media files?
1. What is Media asset management (MAM)?
2. Now, what is a successful Media asset management(MAM) solution and why?
3. What are APIs and how can they be used to build a Media asset management System?
4. Why build your MAM with Vidispine for increased efficiency, flexibility & cost savings?
Video has become a hugely dominant form of content, with more companies than ever applying video as part of their marketing, training and business strategies. Among these companies we do not only see traditional broadcasters extending their business model into internet distributed film and tv, but also a more generic usage of video in internal and external daily communication by many different companies and organizations in all sectors.
The value of the media files themselves are closely related to what we know about these media files – the data about the data – more commonly referred to as metadata.
The more we know about our media files the more valuable they are.
The most simplistic form of managing files in the early days was to create folders and subfolders, name these folders and name the media files using naming conventions that maybe only a very small number of people could navigate by.
When the number of files started to grow and the number of workflows for these files extended from storage, production all the way out to distribution, it became evident that we needed a system that could efficiently and automatically guide us through 10:th of thousands of files and take actions based on the metadata of these files. Examples of actions could be:
The MAM (media asset management) system architecture is a result of these new workflow requirements. The MAM (media asset management) systems know everything about your files, not only the asset name and location, but also technical metadata such as codecs, formats, frame rates. And it does not stop there – some MAM systems can today give you information on the actual visual and audible content inside the video, recognize faces, speech for subtitling and much more.