White Papers
- Machine Learning-based Chroma Phase Offset Detection Ad Correction in Motion Videos
Published by International Journal of Artificial Intelligence (IJAI) e-journal
- Monitoring Broadcast Over IP (SDIoIP): The Challenges of SDI and Strategies for Ensuring High-Quality IP Broadcasts
- Why Quality Assurance Matters Now, More Than Ever
- Evolution of Content Creation and Delivery
- Achieving a Better Understanding of Object Detection Using Deep Learning Methods
- Challenges of Dynamic Ad Insertion in the OTT Environment
- Ensuring Clean IMF Deliveries
- Improving Quality Control for Captions and Subtitles
- How to Improve the Efficiency and Quality of Audio Dubbing in File-Based Media Workflows
- Innovations in Machine Learning and AI for Media QC Operations
- QC Issues in UHD/HDR Video Delivered Over a Lossy Channel
- Quality Control for Video Ad Serving Template (VAST) Protocol
- Hybrid QC: A More Complete Approach to Delivering High-Quality Video
- Superior QoE - A Critical Requirement for Monetizing OTT Services
- Loudness Measurement & Control
- Analytics in Content QC
- Auto QC in the Digitization Workflow
- Myth and Reality of Auto-Correction in File-based Workflows
- ATSC 3.0 and its Potential Impact on Video Quality Assessment
- Video Dropout Detection
- VEGA HEVC
Technical Papers
- File-based QC – Delivering Content with Confidence
- Paper Presentation at NAB 2012: Loudness Measurement and Control
- The Anatomy of a Good QC Solution
- Is Your Content Hazardous? Content Conformance to Legal and Regulatory Requirements
- File-based Media Content – QC is Business Critical and Not an Option
- Improve Workflow Efficiency with Automated QC throughout the Content Lifecycle
- Content Readiness - Ensuring Content Quality across Content Lifecycle
- Baton Case Study - EuroTek - OBU (Irish Parliament)
- Joint White paper by Interra & Signiant
- Video Quality Issues in File-Based Broadcasting