Image Retrieval with Relational Semantic Indexing Color and Gray Images

Abstract

Due to the development of digital technology large number of image is available in web and personal database and it take more time to classify and organize them In AIA assigns label to image content with this image is automatically classified and desired image can be retrieved Image retrieval is the one of the growing research area To retrieve image Text and content based methods used In recent research focus on annotation based retrieval Image annotation represents assigning keywords to image based on its contents and it use machine learning techniques Using image content with more relevant keywords leads fast indexing and retrieval of image from large collection of image database Many techniques have been proposed for the last decades and it gives some improvement in retrieval performance In this proposed work Relational Semantic Indexing RSI based LQT technique reduces the search time and increase the retrieval performance This proposed method includes segmentation feature extraction classification and RSI based annotation steps This proposed method compared against IAIA and LSH algorithms