Rapid growth of World Wide Web has increased the interest towards image retrieval. Different groups need to find a desired image from a collection. The users may require access to the images, based on primitive features, such as color, texture or shape, or associated text. The technology to access these images has also accelerated phenomenally. The current approaches are broad and inter-discipl...

Object discovery is one of the steps to effective content-based image retrieval. If a vision system has the ability to identify potential objects in an image, it enables the user to phrase queries in terms of objects, and it enables the computer to search the image library for similar objects. This paper describes a physics-based approach to object discovery. The approach grows seed regions to ...

Traditional computer-based image retrieval techniques provide several mechanisms to retrieve images. Generally, there are two major approaches being used in image retrieval systems. The first approach is content-based image retrieval which aims to retrieve images based on their visual criteria. This approach typically utilizes visual features, such as color, shape, texture, and layout, to deter...

Most of the currently available image database systems provide a text-based retrieval function called keyword retrieval, where users specify `keywords' such as titles, attributes, and categories of themes. But many times it is not easy for users to specify suitable keywords for a particular retrieval. Besides, building a large image database with complete description of contents is a very dicu...

Despite the continuous development of features and mid-level representations, effectively and reliably measuring the similarity among images remains a challenging problem in image retrieval tasks. Once traditional measures consider only pairwise analysis, context-sensitive measures capable of exploiting the intrinsic manifold structure became indispensable for improving the retrieval performanc...

Content-Based Image Retrieval (CBIR) locates, retrieves and displays images alike to one given as a query, using a set of features. It demands accessible data in medical archives and from medical equipment, to infer meaning after some processing. A problem similar in some sense to the target image can aid clinicians. CBIR complements text-based retrieval and improves evidence-based diagnosis, a...

Searching for an object in a general image collection using current image retrieval systems, is still a problem. The retrieval results contain many unrelated images. In providing an effective and robust image database, objects in an image need to be extracted. Since the number of stored images can be very large, automation is an important aspect. Image indexing is a technique that extracts obje...

Internet technology should eventually provide important improvements over established media not only in the efficiency of broadband delivery, and of particular importance, in the efficiency of business models that can be used to collect money for that programming. I identify five economic characteristics of Internet technology that should lead to these greater efficiencies: (1) lower delivery c...

The current most desirable image retrieval feature is retrieving images based on their semantic content. Currently there are two major image retrieval paradigms that attempt to provide this: text-based metadata image retrieval and content-based image retrieval. In practical applications, both have limitations. In this paper, we discuss an ontology-based image retrieval approach that aims to sta...