Evaluating Classification Strategies in Bag of SIFT Feature Method for Animal Recognition
نویسندگان
چکیده
These days automatic image annotation is an important topic and several efforts are made to solve the semantic gap problem which is still an open issue. Also, Content Based Image Retrieval (CBIR) cannot solve this problem. One of the efficient and effective models for solving the semantic gap and visual recognition and retrieval is Bag of Feature (BoF) model which can quantize local visual features like SIFT perfectly. In this study our aim is to investigate the potential usage of Bag of SIFT Feature in animal recognition. Also, we specified which classification method is better for animal pictures.
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