Al Kabary, Ihab and Schuldt, Heiko. (2014) Using hand gestures for specifying motion path queries in sketch-based video retrieval. In: Advances in information retrieval : 36th European conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Cham, pp. 733-736.
Full text not available from this repository.
Official URL: http://edoc.unibas.ch/dok/A6212032
Downloads: Statistics Overview
Abstract
In team sports, the analysis of a teams tactical behavior is becoming increasingly important. While this is still mostly based on the manual selection of video sequences from games, coaches and analysts increasingly demand more automated solutions to search for relevant sequences of videos, and to support this search by means of easy-to-use interfaces. In this demo, we present a novel intuitive interface for specifying sketched-based motion queries in sport videos using hand gestures. We have built the interface on top of SportSense, a system for interactive sports video retrieval. SportSense exploits spatiotemporal information incorporating various events within sport games, which is used as metadata to the actual sports videos. The interface has been designed to enable users to fully control the system and facilitate acquiring of the query object needed to perform both spatial and spatiotemporal motion queries using intuitive hand gestures.
| Faculties and Departments: | 05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Databases and Information Systems (Schuldt) |
|---|---|
| UniBasel Contributors: | Schuldt, Heiko and El-Kabary, Ihab |
| Item Type: | Conference or Workshop Item, refereed |
| Conference or workshop item Subtype: | Conference Paper |
| Publisher: | Springer |
| Note: | Publication type according to Uni Basel Research Database: Conference paper |
| Related URLs: | |
| Identification Number: | |
| Last Modified: | 10 Oct 2014 09:19 |
| Deposited On: | 23 May 2014 08:34 |
Repository Staff Only: item control page