Video shot extraction on parallel architectures

  • Authors:
  • Pablo Toharia;Oscar D. Robles;José L. Bosque;Angel Rodríguez

  • Affiliations:
  • Dept. de Arquitectura y Tecnología de Computadores e Inteligencia Artificial, Universidad Rey Juan Carlos (URJC);Dept. de Arquitectura y Tecnología de Computadores e Inteligencia Artificial, Universidad Rey Juan Carlos (URJC);Dept. de Arquitectura y Tecnología de Computadores e Inteligencia Artificial, Universidad Rey Juan Carlos (URJC);Dept. de Tecnología Fotónica, Universidad Politécnica de Madrid (UPM)

  • Venue:
  • ISPA'06 Proceedings of the 4th international conference on Parallel and Distributed Processing and Applications
  • Year:
  • 2006

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Abstract

One of the main objectives of Content-based Multimedia Retrieval systems is the automation of the information extraction process from raw data. When dealing with video data, the first step is to perform a temporal video segmentation in order to make a shot decomposition of the video content. From a computational point of view, this is a very high demanding task and algorithm optimization must be seeked. This paper presents a comparison between two different parallel programming paradigms: shared-memory communication and distributed memory processing using the message passing paradigm. Taking into account the software solutions, experimental results are collected over two alternative parallel architectures: a shared-memory symmetric multiprocessor and a cluster. This paper analyzes the performance achieved from the viewpoints of speed and scalability.