Towards effective content based image retrieval based on local binary patterns and finite beta mixture model

Abstract

Content Based Retrievals has major role in many practical situations where the images are to be extracted based on the content. However, with the vast dimensionality of the data surrounding retrieval of the relevant information in minimum instance of time together with accuracy is a challenging task. This article presents an ideology to counter attack the challenge by proposing a model based on Finite Beta Mixture Distribution. In order to extract the Features, Local Binary Patterns (LBP) are considered and the proposed work is implemented based on Flickr Dataset.