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Vubiquity Library Clean Up

Automates video library cleanup enables efficient asset selection, validation, and publishing by identifying hero sources, extracting metadata, and applying AI-driven analysis across fragmented repositories.
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About

The Vubiquity Library Clean Up solution helps studios and media organizations reclaim control over fragmented and metadata-poor video archives. Studio Video Masters are often scattered across multiple S3 buckets or repositories, with minimal linkage or visibility into their relationships. Each title or episode can consist of 50+ files, often with unknown versions or incomplete metadata, creating major inefficiencies in determining the best source assets—referred to as “Hero” sources.

Key Challenges Addressed

• Dispersed assets across S3 without a unified structure

• Lack of consistent or reliable metadata

• Inability to programmatically determine Hero assets

• Manual QC bottlenecks and inconsistent asset quality

Solution Approach

Our offering provides a phased, automated, and collaborative solution designed for scalable cleanup and asset normalization.

Key phases include:

Phase 1: Discovery and Manifest Creation

• Programmatic scan of S3 buckets

• Generate asset manifests and narrow Hero candidates using studio-defined business rules

• Technical metadata extraction (frame rate, codec, MD5, resolution, etc.)

Phase 2: Hero Analysis and Candidate Selection

• Submit Hero candidates for automated video analysis

• Create proxies and previews for human approval/veto via browser-based UI

• Leverage AI to assist in Hero source detection based on conformance and quality metrics

Phase 3: Publish and Operational Integration

• Finalize Hero selection with full audit trail

• Prepare Hero files for mastering and delivery pipelines

• Exception handling and manual overrides supported

Consulting Services Included

• Metadata standards evaluation and mapping

• Business rule design workshops with studio stakeholders

• Integration support with media asset management systems and dashboards

• Ongoing AI tuning and workflow refinement

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