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2018 | OriginalPaper | Chapter

Research on Fast Browsing for Massive Image

Authors : Fang Wang, Ying Peng, Xiaoya Lu

Published in: Advances in Intelligent Systems and Interactive Applications

Publisher: Springer International Publishing

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Abstract

The development and application of image data has the characteristics of high resolution, large data volume and so on. Research on how to take advantage of MapReduce to distributed processing efficient and fast is one of the focuses and hotspots in the field of massive image data management. To solve the above problems, combing efficient distributed programming and running frame provided by MapReduce model and image pyramid algorithm, proposing and realizing a distributed model for massive image data. Experiment expresses that this model is good performance in massive image’s browsing and rooming.

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Metadata
Title
Research on Fast Browsing for Massive Image
Authors
Fang Wang
Ying Peng
Xiaoya Lu
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-69096-4_16

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