Using Intrinsic Object Attributes for Incremental Content Based Image Retrieval with Histograms

摘要

An incremental Content Based Image Retrieval (CBIR) method is proposed in this paper. This method is based on color histogram. Standard histograms, because of their efficiency and insensitivity to small changes, are widely used for content based image retrieval. We define an algorithm that utilizes the concept of Histogram Refinement [1] and we call it Color Refinement Method. Color Refinement method splits the pixels in a given bucket into several classes just like histogram refinement method. The classes are all related to colors and are based on color coherence vectors. After the calculation of clusters using color refinement method, inherent features of each of cluster is calculated. These inherent features are used for incremental CBIR.