InBroadcast: Etere QC Packs Powerful Features

Etere has rolled out a revamped Etere QC module for its MAM system.Providing faster than real-time analysis of files, Etere QC(formerly Etere CMS) has the capacity to check any file including 4K.

Providing faster than real-time analysis of files, Etere QC (formerly Etere CMS) has the capacity to check any file including 4K.

A free add-on to Etere MAM, Etere QC is designed to deliver fast and reliable performance Etere QC is equipped with options to check audio/video either prior (e.g. playout, repurpose, archiving) or after (e.g. encoding, ingest, editing, transcoding, archiving) media operations across the entire content life cycle.

The integration with Etere player allows you to verify the file from the MAM without any additional hardware or software.

The Etere M.E.R.P. (Media Enterprise Resource Planning) integrated Etere QC automatically detects and marks audio/video issues on assets' EDL according to their quality. The dynamic flexibility of Etere QC also allows control of any file type and is able to speed up with fast speeds from three times to 50 times real-time.

Etere QC strengthens Etere M.E.R.P.'s robustness and embraces an all-integrative solution for all your workflow needs. The detection capabilities of Etere QC are tuned to provide the most used profiles to ensure file integrity.

Etere claims that the "fault tolerant, load balanced architecture of ETERE QC delivers the fastest and most reliable QB analysis in the market," saving considerable time on QC processing.

Analysis by Etere QC includes:
• Video Block/Blur/Freeze;
• Scene changes;
• Black frames;
• Freeze frames;
• Audio silence/absence;
• Audio level;
• Anti-phase audio;
• Audio loudness;
• Freeze Frame Detection;
• Audio Clipping/loss;
• Brightness/Contrast;
• Black Frame Detection;
• Super Black.

An easy to use QC too it is 100% file-based without the need for dedicated hardware. It supports multi-file processing on the same computer with fully customizable detection profiles. Results are stored in the database using standard format and thumbnails are
generated for each detected issue in a file.
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