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Description
  • The current explosion of data accelerated evolution of various content-based indexing techniques that allow to efficiently search in multimedia data such as images. However, indexable features must be first extracted from the raw images before the indexing. This necessary step can be very time consuming for large datasets thus parallelization is desirable to speed the process up. In this paper, we experimentally compare two approaches to distribute the task among multiple machines: the Apache Hadoop and the Apache Storm projects.
  • The current explosion of data accelerated evolution of various content-based indexing techniques that allow to efficiently search in multimedia data such as images. However, indexable features must be first extracted from the raw images before the indexing. This necessary step can be very time consuming for large datasets thus parallelization is desirable to speed the process up. In this paper, we experimentally compare two approaches to distribute the task among multiple machines: the Apache Hadoop and the Apache Storm projects. (en)
Title
  • Towards Fast Multimedia Feature Extraction: Hadoop or Storm
  • Towards Fast Multimedia Feature Extraction: Hadoop or Storm (en)
skos:prefLabel
  • Towards Fast Multimedia Feature Extraction: Hadoop or Storm
  • Towards Fast Multimedia Feature Extraction: Hadoop or Storm (en)
skos:notation
  • RIV/00216224:14330/14:00074391!RIV15-GA0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GBP103/12/G084)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
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  • 50823
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/14:00074391
http://linked.open...riv/jazykVysledku
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  • Multimedia; Big Data; Feature Extraction; Map Reduce; Apache Storm; Apache Hadoop (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [A92BAFF8557B]
http://linked.open...v/mistoKonaniAkce
  • Taichung, Taiwan
http://linked.open...i/riv/mistoVydani
  • Washington, DC
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 2014 IEEE International Symposium on Multimedia (ISM)
http://linked.open...in/vavai/riv/obor
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  • Batko, Michal
  • Zezula, Pavel
  • Mera Pérez, David
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • IEEE Computer Society Publications
https://schema.org/isbn
  • 9781479943111
http://localhost/t...ganizacniJednotka
  • 14330
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