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Content-Based Image Retrial Based on Hadoop

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  • DongSheng Yin
  • DeBo Liu

Abstract

Generally, time complexity of algorithms for content-based image retrial is extremely high. In order to retrieve images on large-scale databases efficiently, a new way for retrieving based on Hadoop distributed framework is proposed. Firstly, a database of images features is built by using Speeded Up Robust Features algorithm and Locality-Sensitive Hashing and then perform the search on Hadoop platform in a parallel way specially designed. Considerable experimental results show that it is able to retrieve images based on content on large-scale cluster and image sets effectively.

Suggested Citation

  • DongSheng Yin & DeBo Liu, 2013. "Content-Based Image Retrial Based on Hadoop," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-7, September.
    • Handle: RePEc:hin:jnlmpe:684615
    DOI: 10.1155/2013/684615
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