In this session from IBC2024, three authors from NHK, Viaccess-Orca and European Broadcasting Union present their work on the application of AI to media production as part of the IBC Technical Papers.
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Next generation video compression standards
Tech Papers 2026: This paper presents an overview of the design criteria and development goals for a new video compression standardisation project.
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Selective multi-pass encoding for cost-effective video streaming
Tech Papers 2026: This paper presents a content-adaptive strategy, CASE, that predicts whether additional encoding passes would provide meaningful gains using a lightweight mechanism that derives spatial and temporal features from each video segment.
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Scalable SSIM estimation from PSNR for per-title and context adaptive encoding workflows
Tech Papers 2026: This paper proposes ApproxSSIMate, a low-complexity method for estimating SSIM from PSNR combined with reference-sequence statistics.
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Deep learning super resolution for dense dynamic point Cloud compression
Tech Papers 2026: This paper proposes Video-based Super Sampling Point Cloud Compression (VSS-PCC), a method that uses neural super-resolution to reduce the size of point cloud data before compression.
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Client device discovery: An open standard for bridging the first-mile gap in cloud media workflows
Tech Papers 2026: This paper presents the architecture, protocol design, and security model of TR-12, demonstrates its contract-first approach using Smithy models, and discusses early implementation experience with the open source SDK.
