Abstract

The production costs of broadcasting sport events that require tracking moving objects are continuously increasing. Although those events are very demanded by the audience, broadcasting organizations have economical difficulties to afford them. For that reason, they are demanding the development of new professional (software and hardware) equipments that lead to a considerable reduction of the production costs.

Highlights

  • In the last years, different factors are provoking a deep revolution in the broadcast industry

  • – We extend a general architecture for location-dependent query processing with videocamera management to help technical directors that broadcast sport events to deal with the multimedia information coming from different videocameras

  • To process location-dependent queries in a mobile environment, we have proposed in previous works the system LOQOMOTION [19] (LOcation-dependent Queries On Moving ObjecTs In mObile Networks), a distributed location-dependent query processing system whose architecture is based on mobile agents

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Summary

Introduction

Different factors are provoking a deep revolution in the broadcast industry. The live broadcasting of such rowing races requires a very complex infrastructure: one helicopter, sailing boats with cameras and GPS transmitters, more cameras in the harbor, and a production mobile unit (usually a trailer) In such a complex context, the technical director is responsible for the selection and coordination on the fly of the graphical material, video signals, and views that are broadcasted to the TV audience. These tasks become especially difficult when different unexpected events happen at different geographic areas or when different moving objects become interesting at the same time.

Motivating context
Query 3
The features of cameras
The work of the technical director
Monitoring proposal
Location-dependent queries
Processing location-dependent queries
Extension to monitor multimedia data
Using LOQOMOTION in the rowing boats scenario
Query 1
Query 2
Prototype and experimental evaluation
Testing the precision and recall of the cameras in the answer
Testing the precision of the estimated time to view
Related work
Camera management for video lectures
Camera management for sport events
Other works on multi-camera management
Works on location-dependent queries
Conclusions and future work

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