Tech Papers 2026: This paper presents a video-only camera pose estimation framework that eliminates the need for dedicated tracking hardware.
Abstract
Sports broadcast graphics rely on accurate camera tracking to enable spatially aligned visual augmentation. Traditional approaches depend on hardware-based tracking systems or manual calibration workflows, increasing operational complexity and deployment cost.
You are not signed in
Only registered users can read the rest of this article.
Immersive reality unleashed: A three-layer convergence model for 6G, AI, and XR driven large-scale applications
Tech Papers 2026: This paper argues for a systems view: XR is becoming the spatial interface for work, while 6G is emerging as a sensing-, compute-, and AI-native network fabric.
Exploration of AI-assisted asset tools in VFX production pipelines
Tech Papers 2026: This paper presents an integrated workflow combining Unreal Engine with AI-assisted tools, targeting asset creation, digital set twin generation, and motion-captured animations through generative AI, computer vision, and 3D reconstruction.
Achieving low-latency playback and low-delay start-up with L3D-DASH
Tech Papers 2026: This paper investigates Low-Latency Low-Delay (L3D) DASH, a set of mechanisms introduced in the sixth edition of the MPEG-DASH standard that enable fine-grained access to media through partial segments in Segment Sequence Representations (SSRs).
Agentic AI for smart TV QA: A production field study across multiple platforms and languages
Tech Papers 2026: This paper examines how agentic AI can expand Smart TV test coverage by overcoming the maintenance limits of conventional automation in a constantly changing environment.
Testing streaming playback at scale: The CTA wave test suite with GenAI-assisted analysis
Tech Papers 2026: This paper examines how generative AI can transform the analysis of large-scale streaming tests, making failure investigation and reporting more efficient and systematic.