Scalable shot boundary detection

Authors:
Pablo Toharia;Oscar D. Robles;Jose L. Bosque;Angel Rodríguez
Affiliations:
Dpto. de Arquitectura y Tecnología de Computadores y Ciencia de la Computación e Inteligencia Artificial, Universidad Rey Juan Carlos, Móstoles (Madrid), Spain 28933;Dpto. de Arquitectura y Tecnología de Computadores y Ciencia de la Computación e Inteligencia Artificial, Universidad Rey Juan Carlos, Móstoles (Madrid), Spain 28933;Dpto. de Electrónica y Computadores, Universidad de Cantabria, Santander (Cantabria), Spain 39005;Dpto. de Arquitectura y Tecnología de Sistemas Informáticos, Universidad Politécnica de Madrid, Boadilla del Monte (Madrid), Spain 28660
Venue:
The Journal of Supercomputing
Year:
2013

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Abstract

In a Content-based Video Retrieval system, the shot boundary detection is an unavoidable stage. Such a high demanding task needs a deep study from a computational point of view to allow finding suitable optimization strategies. This paper presents different strategies implemented on both a shared-memory symmetric multiprocessor and a Beowulf cluster, and the evaluation of two different programming paradigms: shared-memory and message passing. Several approaches for video segmentation as well as data access are tested in the experiments that also consider load balancing issues.