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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.
Abstract
As video streaming scales across platforms, resolutions, and devices, encoding efficiency has become critical to maintaining quality while controlling computational cost and energy consumption. Multi-pass encoding is widely used in streaming workflows to improve compression efficiency, rate-control accuracy, and quality consistency. However, its computational overhead is applied uniformly across all...
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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.
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Scene-adaptive camera: Dynamic imaging parameter control for localised shooting areas
Tech Papers 2026: This paper examines a scene-adaptive camera that dynamically adjusts imaging parameters across different areas of a frame to improve image quality.
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Many-to-One directing: DINOV3-based live multi-camera correspondence on an overlay-augmented master view
Tech Papers 2026: This paper introduces a Many-to-One directing assistance system that unifies all camera feeds into a single continuous decision environment.
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