| Myth and Reality of Auto-Correction in File-based Workflows
 File-based workflows are ubiquitous in the broadcast world today. However, the adoption of file-based flows comes with its own set of challenges. The first one, of course, is - does my file have the right media, in the right format and without artifacts?
Fortunately, the leading auto QC tools have kept pace with the growing technology advances to provide us with this peace of mind. However, there are still many unsolved video artifact issues that the auto QC tools grapple with. Firstly, there are several baseband issues that are not even detected automatically – forget about auto correcting them. Secondly, after the corrections are applied, through manual or automated process, if the transcode including re-wrap processes are not managed properly, auto correction will introduce fresh issues – the corrected content may even be worse than what you started with, resulting in an unproductive looping.
How then can you depend upon an auto QC tool to do auto-correction?
This paper attempts to clear the misconception and also sheds light on the extent to which auto-QC tools and other tools in the workflow can auto-correct issues in media content.
Company Description:
Interra Systems provides software solutions to the digital media industry. The company's solutions includes the leading enterprise-class QC solution - Baton, an automated verification system that ensures media content readiness; Orion, a real-time content monitoring solution to deliver superior quality video; and Vega, a family of audio/video analyzers for standards compliance, debug, and interoperability of encoded streams.
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