Streaming Video Experimentation at Netflix

Description

Netflix Tech Blog article explaining how Netflix conducts A/B testing and experimentation on streaming video quality and features to optimize QoE for its users at scale.

URL

• Visit resource

Related resources

• videojs-vastVideo.js plugin for VAST/VMAP ad playback, wrapping vast-client-js for player integration.
• vast-playerBrowser VAST linear-creative ad playback library: ad tag requests, wrapper resolution, MediaFile selection, VPAID init, and tracking pixels.
• vast-vmapJavaScript library parsing IAB VAST 2.0/3.0 and VMAP 1.0 ad schemas with explicit tracking model (caller invokes track() rather than DOM wa…
• Google IMA/DAI HTML5 SDK SamplesOfficial Google samples for client-side (IMA) pre-roll ad insertion and server-side/SGAI dynamic ad insertion streams stitched with HLS.js.
• vast-2-sgaiConverts VAST XML ad responses into HLS interstitial AssetLists and DASH Alternative MPDs for Server-Guided Ad Insertion (SGAI).
• Evaluating Video Quality Metrics for Neural and Traditional Codecs (4K/UHD-1)Academic comparison of VMAF, AVQBits, and FasterVQA no-reference quality metrics on 4K content.
• CompressedVQA: Full/No-Reference VQA for Compressed UGC VideoICME 2021 grand challenge-winning full-reference and no-reference video quality models for compressed user-generated content.
• 2BiVQA: Double Bi-LSTM No-Reference Video Quality AssessmentNo-reference VQA model for UGC video using double Bi-LSTM, companion code to arXiv:2208.14774.
• nr-vqa-consumervideoNo-reference video quality metric tuned for consumer video capture artifacts (sensor noise, motion blur, shake) rather than compression art…
• Bitrate Ladder Construction via Transfer Learning and Spatio-Temporal FeaturesML-based bitrate ladder optimization achieving 94.1% complexity reduction at only 1.71% BD-rate cost using transfer learning.