BoVW model for animal recognition: an evaluation on SIFT feature strategies
Nowadays classifying images into categories have taken a lot of interests in both research and practice. Content Based Image Retrieval (CBIR) was not successful in solving semantic gap problem. Therefore, Bag of Visual Words (BoVW) model was created for quantizing different visual features...
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| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Book Section |
| Language: | English |
| Published: |
Springer International Publishing
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/47154/1/abstract02.pdf http://psasir.upm.edu.my/id/eprint/47154/ http://download.springer.com/static/pdf/560/chp%253A10.1007%252F978-3-319-25939-0_20.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Fchapter%2F10.1007%2F978-3-319-25939-0_20&token2=exp=1467005822~acl=%2Fstatic%2Fpdf%2F560%2Fchp%25253A10.1007%25252F978-3-31 |
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http://psasir.upm.edu.my/id/eprint/47154/1/abstract02.pdfhttp://psasir.upm.edu.my/id/eprint/47154/
http://download.springer.com/static/pdf/560/chp%253A10.1007%252F978-3-319-25939-0_20.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Fchapter%2F10.1007%2F978-3-319-25939-0_20&token2=exp=1467005822~acl=%2Fstatic%2Fpdf%2F560%2Fchp%25253A10.1007%25252F978-3-31