.jpg)
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.
Abstract
Point clouds are increasingly used in immersive applications, including XR, autonomous driving, and medical imaging, due to their ability to represent objects and environments with high fidelity. However, their large data size creates significant challenges for storage and transmission.
You are not signed in
Only registered users can read the rest of this article.
.jpg)
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.
.jpg)
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.
.jpg)
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.
.jpg)
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.
.jpg)
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.
Registered users only: Login
.jpg)