Image retrieval based on the feature of VLAD and sparse representation
In order to achieve the goal of fast and accurate image retrieval,an image retrieval method combining VLAD （vector of locally aggregated descriptor）feature and sparse representation was proposed. Firstly, according to the characteristics of rich structure details and obvious differences for local vi...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2016-12-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016308/ |
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| author | Wen YAN Wei JIN Randi FU |
| author_facet | Wen YAN Wei JIN Randi FU |
| author_sort | Wen YAN |
| collection | DOAJ |
| description | In order to achieve the goal of fast and accurate image retrieval,an image retrieval method combining VLAD （vector of locally aggregated descriptor）feature and sparse representation was proposed. Firstly, according to the characteristics of rich structure details and obvious differences for local visual features in image, the local rotation invariant SURF feature of the image was extracted,and the local VLAD feature of the image with rotation invariance was constructed by the local aggregation descriptor method. Then, the VLAD feature was combined with the sparse representation（SR）to design the similarity retrieval metric based on SR,thus the retrieval of the image could be realized. The experimental results show that,proposed method outperforms the compared methods in terms of precision,average normalize modified retrieval rank（ANMRR）and other indicators,and it also has higher computational efficiency. |
| format | Article |
| id | doaj-art-7d7ae8469e4348a2995c30c6cad1ce77 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2016-12-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-7d7ae8469e4348a2995c30c6cad1ce772025-01-15T03:13:42ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-12-0132808559605538Image retrieval based on the feature of VLAD and sparse representationWen YANWei JINRandi FUIn order to achieve the goal of fast and accurate image retrieval,an image retrieval method combining VLAD （vector of locally aggregated descriptor）feature and sparse representation was proposed. Firstly, according to the characteristics of rich structure details and obvious differences for local visual features in image, the local rotation invariant SURF feature of the image was extracted,and the local VLAD feature of the image with rotation invariance was constructed by the local aggregation descriptor method. Then, the VLAD feature was combined with the sparse representation（SR）to design the similarity retrieval metric based on SR,thus the retrieval of the image could be realized. The experimental results show that,proposed method outperforms the compared methods in terms of precision,average normalize modified retrieval rank（ANMRR）and other indicators,and it also has higher computational efficiency.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016308/image retrievalsparse representationvector of locally aggregated descriptor |
| spellingShingle | Wen YAN Wei JIN Randi FU Image retrieval based on the feature of VLAD and sparse representation Dianxin kexue image retrieval sparse representation vector of locally aggregated descriptor |
| title | Image retrieval based on the feature of VLAD and sparse representation |
| title_full | Image retrieval based on the feature of VLAD and sparse representation |
| title_fullStr | Image retrieval based on the feature of VLAD and sparse representation |
| title_full_unstemmed | Image retrieval based on the feature of VLAD and sparse representation |
| title_short | Image retrieval based on the feature of VLAD and sparse representation |
| title_sort | image retrieval based on the feature of vlad and sparse representation |
| topic | image retrieval sparse representation vector of locally aggregated descriptor |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016308/ |
| work_keys_str_mv | AT wenyan imageretrievalbasedonthefeatureofvladandsparserepresentation AT weijin imageretrievalbasedonthefeatureofvladandsparserepresentation AT randifu imageretrievalbasedonthefeatureofvladandsparserepresentation |