Content-Based Image Retrieval is a technique that utilizes the visual content of an image to search for similar images in large scale image databases. The visual content of an image represents the low-level features extracted from the image. These primarily constitute color, shape and texture features. The precision of image classification and image retrieval is mainly based on image feature ex...

Expansion of content-based image retrieval (CBIR) system has become a vital research issue as the digital image libraries and multimedia databases are increasing day by day. The image retrieval is divided into two major types: Text-based image retrieval and Content-based image retrieval. Conventional text-based image search engines apply manual annotation of images whereas the content-based ima...

In this paper, we propose a probabilistic model for image retrieval. To obtain the similarity between the query image IQ and any image I’ in the collection, this model computes the probability of generating the image I’ given the observation of the query image IQ. We compared our probabilistic model for image retrieval with a color histogram based image retrieval method and the IBM QBIC image s...

Images are commonly used on a daily basis for research, information and entertainment. The introduction of digital cameras and especially the incorporation of cameras in mobile phones make people able to snap photos almost everywhere at any time since their mobile phone is almost always brought with them. The fast evolution in hardware enables users to store large image collection without high ...

To date, research in image retrieval has focused on the underlying retrieval algorithms, while little research has been focused on the many aspects pertaining to user expectations, user actions and user experiences. It is here postulated that ultimately, it is the user who decides the quality of an image retrieval system based on a match between his/her expectations and system performance. This...

Traditional content based image retrieval attempts to retrieve images using syntactic features for a query image. Annotated image banks and Google allow the use of text to retrieve images. In this paper, we studied the task of using the content of an image to retrieve information in general. We describe the significance of object identification in an information retrieval paradigm that uses ima...

An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. Web Based Image Retrieval addresses the matching and retrieval of images which share similar visual content to search a concept from a large database of un-annotated images. Matching images based on visual content is a fundamental problem in computer vision syste...