Multi-view analysis of sports video

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Forschungsstelle

INNOSUISSE

Projektnummer

9637.1;6 PFES-ES

Projekttitel

Multi-view analysis of sports video

Projekttitel Englisch

Multi-view analysis of sports video

Texte zu diesem Projekt

	Deutsch	Französisch	Italienisch	Englisch
Kurzbeschreibung	-	-	-
Abstract	-	-	-

Erfasste Texte

Kategorie	Text
Kurzbeschreibung (Englisch)	Multi-view analysis of sports video
Abstract (Englisch)	In this CTI Project, ETH Zurich and LiberoVision AG will investigate and design novel methods for the analysis of sports video feeds. The interpretation of raw video is one of the main challenges of Computer Vision. The products of LiberoVision will have a great benefit from automatically detecting the contents of the video feeds. The research in this project aims to find novel methods for real-time analysis of the feeds from multiple videos from the same scene and derive an abstract representation of the contents useable for further processing. Novel data-structures and algorithms are required to achieve this goal. These will enable Libero- Vision to keep its technological lead in virtual replays of sports broadcasts.

Kategorie

Text

Kurzbeschreibung
(Englisch)

Multi-view analysis of sports video

Abstract
(Englisch)

In this CTI Project, ETH Zurich and LiberoVision AG will investigate and design novel methods for the analysis of sports video feeds. The interpretation of raw video is one of the main challenges of Computer Vision. The products of LiberoVision will have a great benefit from automatically detecting the contents of the video feeds. The research in this project aims to find novel methods for real-time analysis of the feeds from multiple videos from the same scene and derive an abstract representation of the contents useable for further processing. Novel data-structures and algorithms are required to achieve this goal. These will enable Libero- Vision to keep its technological lead in virtual replays of sports broadcasts.