Image Classification and Annotation Based on Hadoop Cloud Computing Platform

In order to effectively deal with the massive image and video data in internet,a solution for image classification and annotation based on Hadoop cloud platform was proposed.Firstly,a system based on cloud computing was given to crawl the raw data image from WWW.Secondly,a training image extractor b...

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Main Authors: Jiyuan Lu, Chenghui Huang, Fang Hou, Bin Li
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2014-02-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.02.008/
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author Jiyuan Lu
Chenghui Huang
Fang Hou
Bin Li
author_facet Jiyuan Lu
Chenghui Huang
Fang Hou
Bin Li
author_sort Jiyuan Lu
collection DOAJ
description In order to effectively deal with the massive image and video data in internet,a solution for image classification and annotation based on Hadoop cloud platform was proposed.Firstly,a system based on cloud computing was given to crawl the raw data image from WWW.Secondly,a training image extractor based on pLSA (probabilistic latent semantic analysis)was presented to help users to get training set images effectively.Thirdly,the SVM model for the system was integrated,which could be used to classify or annotate novel images.According to the experiment,the system can both meet the functional requirement and achieve optimized performance for image data classification and annotation.
format Article
id doaj-art-47b5d7033ad241bd9fd43072aee0d98e
institution Kabale University
issn 1000-0801
language zho
publishDate 2014-02-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-47b5d7033ad241bd9fd43072aee0d98e2025-01-15T03:20:31ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012014-02-0130656959623601Image Classification and Annotation Based on Hadoop Cloud Computing PlatformJiyuan LuChenghui HuangFang HouBin LiIn order to effectively deal with the massive image and video data in internet,a solution for image classification and annotation based on Hadoop cloud platform was proposed.Firstly,a system based on cloud computing was given to crawl the raw data image from WWW.Secondly,a training image extractor based on pLSA (probabilistic latent semantic analysis)was presented to help users to get training set images effectively.Thirdly,the SVM model for the system was integrated,which could be used to classify or annotate novel images.According to the experiment,the system can both meet the functional requirement and achieve optimized performance for image data classification and annotation.http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.02.008/cloud computingtraining set extractionsupport vector machinevisual feature extraction
spellingShingle Jiyuan Lu
Chenghui Huang
Fang Hou
Bin Li
Image Classification and Annotation Based on Hadoop Cloud Computing Platform
Dianxin kexue
cloud computing
training set extraction
support vector machine
visual feature extraction
title Image Classification and Annotation Based on Hadoop Cloud Computing Platform
title_full Image Classification and Annotation Based on Hadoop Cloud Computing Platform
title_fullStr Image Classification and Annotation Based on Hadoop Cloud Computing Platform
title_full_unstemmed Image Classification and Annotation Based on Hadoop Cloud Computing Platform
title_short Image Classification and Annotation Based on Hadoop Cloud Computing Platform
title_sort image classification and annotation based on hadoop cloud computing platform
topic cloud computing
training set extraction
support vector machine
visual feature extraction
url http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.02.008/
work_keys_str_mv AT jiyuanlu imageclassificationandannotationbasedonhadoopcloudcomputingplatform
AT chenghuihuang imageclassificationandannotationbasedonhadoopcloudcomputingplatform
AT fanghou imageclassificationandannotationbasedonhadoopcloudcomputingplatform
AT binli imageclassificationandannotationbasedonhadoopcloudcomputingplatform