A INNOVATIVE APPROACH FOR CONTENT BASED IMAGE RETRIEVAL USING CLOUD COMPUTING

ABSTRACT Content Based Image Retrieval (CBIR) is an efficient retrieval of relevant images from large databases based on features extracted from the image. With the advancement in the image acquisition systems, very large image database has been created nowadays. Retrieving images based on their metadata such as keywords, tags or description couldn't yield better results. The technique in the content-based image retrieval (CBIR) systems is to search images in database that are ?close to the query image using some similarity measure. Images from large database can be retrieved efficiently from the image content like color, shape and texture. Number of images retrieved depends on similarity matching measure of image features with the query image by utilizing machine learning algorithm. . The current work deploys cloud computing enabled CBIR system with the aid of Color Coherence Vector (CCV) and considering approximate shape rather than the exact shape through segmentation. Keywords: Content Based Image Retrieval, Color Coherence Vector, Shape Retrieval,Segmentation.