GMM-CR-Based Semantic Image Retrieval and Annotation

Abstract

— In this article, a content-based image retrieval and annotation architecture is proposed. Its attitude is decreasing the semantic gap. To achieve a narrower gap, the model is based on estimating the relationship between image pixels and image concepts through partitioning the image with unsupervised classifier. Partitioning is executed by dividing the… (More)

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