使用apache storm实时检测大量对象

2014 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2014-12-15 DOI:10.1109/ICTC.2014.6983306

Dong-Hyuck Im, Cheol-Hye Cho, Ilgu Jung

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引用次数: 4

摘要

目标检测是智能多媒体处理的一项重要功能，但其计算复杂度阻碍了其在消费类电子产品中的广泛应用。为了实时处理大规模数据集，需要更多的资源和可靠的基础设施来传播数据并在多台机器上并行运行应用程序。为了实时检测大量目标，提出了一种基于Storm的任务并行处理框架。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Detecting a large number of objects in real-time using apache storm

Object detection is an important function for intelligent multimedia processing, but its computational complexity prevented its pervasive uses in consumer electronics. To process large-scale datasets in real-time, more resources and reliable infrastructures are required for spreading the data and running the applications across multiple machines in parallel. In order to detect a large number of objects in real-time, a task-parallel processing framework based on Storm is proposed.

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2014 International Conference on Information and Communication Technology Convergence (ICTC)

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