Scalable shot boundary detection

被引：0
|
作者：
Toharia, Pablo [1 ]
Robles, Oscar D. [1 ]
Bosque, Jose L. [2 ]
Rodriguez, Angel [3 ]
机构：
[1] Univ Rey Juan Carlos, Dpto Arquitectura & Tecnol Comp & Ciencia Comp &, Mostoles 28933, Madrid, Spain
[2] Univ Cantabria, Dpto Elect & Comp, E-39005 Santander, Cantabria, Spain
[3] Univ Politecn Madrid, Dpto Arquitectura & Tecnol Sistemas Informat, Boadilla Del Monte 28660, Madrid, Spain
来源：
JOURNAL OF SUPERCOMPUTING | 2013年 / 64卷 / 01期
关键词：
Shot boundary detection; Information storage and retrieval; Distributed systems; Performance evaluation; Load balancing; VIDEO; RETRIEVAL; SEGMENTATION;
D O I：
10.1007/s11227-012-0784-8
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：89 / 99
页数：11
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