Large-scale duplicate image retrieval technical research for the internet
For the typical social media application on the internet,a large-scale distributed duplicate image retrieval ap-proach based on random projection and the block DCT coefficients was proposed.On the basis of Hadoop,this approach exploited image signatures generated by random projection mapping to retr...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2014-12-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.12.023/ |
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| _version_ | 1841539736359927808 |
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| author | Shu-peng WANG Ming CHEN Guang-jun WU |
| author_facet | Shu-peng WANG Ming CHEN Guang-jun WU |
| author_sort | Shu-peng WANG |
| collection | DOAJ |
| description | For the typical social media application on the internet,a large-scale distributed duplicate image retrieval ap-proach based on random projection and the block DCT coefficients was proposed.On the basis of Hadoop,this approach exploited image signatures generated by random projection mapping to retrieve HBase efficiently.And candidate images with high-recall were achieved.Then in order to improve the retrieval precision,the block DCT coefficients were used to further filter candidate images.For 12 million images,experimental results showed that with our approach the recall ratio reached 98%,the precision ratio reached 93.2%,and the average retrieval time was 6.7s when H=2 and T=150. |
| format | Article |
| id | doaj-art-6caa2c4097244e7cbc1edd342cf19a4a |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2014-12-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-6caa2c4097244e7cbc1edd342cf19a4a2025-01-14T06:44:42ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-12-013519620259687772Large-scale duplicate image retrieval technical research for the internetShu-peng WANGMing CHENGuang-jun WUFor the typical social media application on the internet,a large-scale distributed duplicate image retrieval ap-proach based on random projection and the block DCT coefficients was proposed.On the basis of Hadoop,this approach exploited image signatures generated by random projection mapping to retrieve HBase efficiently.And candidate images with high-recall were achieved.Then in order to improve the retrieval precision,the block DCT coefficients were used to further filter candidate images.For 12 million images,experimental results showed that with our approach the recall ratio reached 98%,the precision ratio reached 93.2%,and the average retrieval time was 6.7s when H=2 and T=150.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.12.023/social mediarandom projection mappingimage signatureblock DCT coefficientsHadoop cluster |
| spellingShingle | Shu-peng WANG Ming CHEN Guang-jun WU Large-scale duplicate image retrieval technical research for the internet Tongxin xuebao social media random projection mapping image signature block DCT coefficients Hadoop cluster |
| title | Large-scale duplicate image retrieval technical research for the internet |
| title_full | Large-scale duplicate image retrieval technical research for the internet |
| title_fullStr | Large-scale duplicate image retrieval technical research for the internet |
| title_full_unstemmed | Large-scale duplicate image retrieval technical research for the internet |
| title_short | Large-scale duplicate image retrieval technical research for the internet |
| title_sort | large scale duplicate image retrieval technical research for the internet |
| topic | social media random projection mapping image signature block DCT coefficients Hadoop cluster |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.12.023/ |
| work_keys_str_mv | AT shupengwang largescaleduplicateimageretrievaltechnicalresearchfortheinternet AT mingchen largescaleduplicateimageretrievaltechnicalresearchfortheinternet AT guangjunwu largescaleduplicateimageretrievaltechnicalresearchfortheinternet |