In this paper, we propose a novel method for cross-media semantic-based information retrieval, which combines classical textbased and content-based image retrieval techniques. This semantic-based approach aims at determining the strong relationships between keywords (in the caption) and types of visual features associated with its typical images. These relationships are then used to retrieve im...

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...

Image classification and retrieval systems have gained more attention because of easier access to high-tech medical imaging. However, the lack of availability of large-scaled balanced labelled data in medicine is still a challenge. Simplicity, practicality, efficiency, and effectiveness are the main targets in medical domain. To achieve these goals, Radon transformation, which is a well-known t...

Content Based Image Retrieval (CBIR)becomes one of the most important area for Research. In CBIR system image is retrieved on the bases of visual features like color , texture and shape. In this system image is retrieved from large collection of images i.e.database. This Document describes different Cbir systems,different types of system,cbir processand application of CBIR. Keywords—Image Retri...

Content-based image retrieval from large multimedia databases effectively and efficiently is a challenging task. In this paper, we propose a retrieval technique that utilizes the regional properties of the images. After image segmentation, each region is represented by its colour, shape, size, and spatial position. Regions of different images are matched and a distance measure between the whole...

Image collections are growing at a rapid rate, motivating the need for efficient and effective tools to search through these databases. Content-based image retrieval (CBIR) techniques extract features directly from image data and use these to query image collections. In this paper, we focus on some more advanced issues in CBIR, namely the extraction of image features from compressed images, the...