Image retrieval is an important research field which has received great attention in the last decades. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywords and for content-based features, color and texture features have been used. Query in this system contains some keywords and an input...

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...

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...

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...

This letter presents a two-stage statistical approach for “exploring and explaining” a pictorial database, for content-based image retrieval systems. First, we describe how correspondence analysis provides image classes, as well as facilitates the understanding of the role of image primitives and attributes used to index pictures. Such understanding allows an intelligent choice of features, and...

This paper describes a method of introducing spatial consistency constraints in the process of matching set-based descriptors extracted from digital images. The proposed matching technique is guided by a rule that can be summarized as follows: a descriptor is important for the match if it is similar to some descriptor from the other image and its spatial neighbors are important. The resulting m...

Content-Based Image Retrieval has been a major area of research in recent years. Efficient image retrieval with high precision would require an approach which combines usage of both the color and texture features of the image. In this paper we propose a method for enhancing the capabilities of texture based feature extraction and further demonstrate the use of these enhanced texture features in...

A Content Based Image Retrieval System is a computer system for browsing, searching and retrieving images from a large database of digital images .Most common methods of image retrieval utilize some method of adding meta data such as captioning, keywords or description to the images so that retrieval can be performed over the annotation words. Content Based Image Retrieval (CBIR) deals with ret...