Tech Papers 2026: This paper presents a reusable mechanism for generating natural language interfaces in interactive television environments.
Abstract
The approach bridges broadcast industry standards, DVB-I (ETSI TS 103 770) for channels and programmes metadata and HbbTV (ETSI EN 102 809) for the interactive application layer, with recent advances in AI: the Model Context Protocol (MCP) to connect agents with television data sources, and the Agent-User Interaction protocol (AG-UI) to connect agents with the television application itself.
You are not signed in
Only registered users can read the rest of this article.
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.
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.
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.
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.
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)