BoVW model for animal recognition: an evaluation on SIFT feature strategies

• Main Authors: Mansourian, Leila, Abdullah, Muhamad Taufik, Abdullah, Lili Nurliyana, Azman, Azreen, Mustaffa, Mas Rina
• Other Authors: Zaman, Halimah Badioze
• Format: Book Section
• Language: English
• Published: Springer International Publishing 2015
• 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
• Institution: Universiti Putra Malaysia

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...