Heuristics for Optimizing Multi-Clip Queries in Video Databases

  • Authors:

  • Harald Kosch;Ahmed Mostefaoui;László Böszörményi;Lionel Brunie

  • Affiliations:

  • Institute of Information Technology, University Klagenfurt, Austria. harald@itec.uni-klu.ac.at;Computer Science Lab Franche-Comté, University of Montbéliard, France. amostefa@pu-pm.univ-fcomte.fr;Institute of Information Technology, University Klagenfurt, Austria. laszlo@itec.uni-klu.ac.at;Information Systems Engineering Laboratory, National Institute of Applied Sciences, Lyon, France. Lionel.Brunie@insa-lyon.fr

  • Venue:
  • Multimedia Tools and Applications
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper we address the multi-clip query optimization problem where a multi-clip query requests multiple video clips. We propose a new heuristics called Restricted Search Interval that maximizes clip sharing between queries and consequently reduces the network bandwidth of a video server for a multicast system. An adaptation of our heuristics for optimizing the response time of the query is also presented. The experimental results show that the suggested heuristics reduces the server workload by about 28% on the average in comparison to a classical heuristic approach.