Stories about JVET 360Lib
1 related stories
Projection-Aware End-to-End Learned Video Compression for 360-Degree Video
AI InsightThe paper evaluates how seven 360-degree projection formats affect end-to-end neural compression using the scale-space flow model and JVET test sequences. Unlike prior neural codecs that largely ignored projection differences, this work systematically compares the incremental effect of projection awareness on rate-distortion performance.Key TakeawayNeural compression systematically incorporates projection format as a variable for the first time.Why It MattersProjection format determines 360-degree video coding efficiency; this research provides a basis for adaptive optimization under different projections.Who's Affected- AI ResearchersObtain experimental baselines for projection-aware neural compression, reusable for future network design.
- Video Compression PractitionersLearn how different projections affect neural coding performance, aiding projection selection.
- VR/ar IndustryPotential to improve transmission efficiency of immersive content via projection-aware compression.
What's NextWatch for public rate-distortion curves across projections and comparisons with conventional standard codecs.Importance 60/100