Interest in research on content-based image retrieval has paved the way for a large number of new techniques and systems. Given a query images are retrieved which is voluminous in nature. The drawback is that the image data retrieved is not relevant and hence need to be eliminated. In this paper, we discuss some of the key contributions in the current decade related to image retrieval. We also ...

Content based image retrieval system is a fast growing research area, where the visual content of a query image is used to search images from large scale image databases. In this proposed an effective system, both the semantically and visually relevant features are used to retrieve the related images. The challenge for the CBIR system is how to efficiently capture the features of the query imag...

We have applied the concept of fractional distance measures, proposed by Aggarwal et al. [1], to content-based image retrieval. Our experiments show that retrieval performances of these measures consistently outperform the more usual Manhattan and Euclidean distance metrics when used with a wide range of high-dimensional visual features. We used the parameters learnt from a Corel dataset on a v...

Texture-based image retrieval is a very di cult task, especially for retrieving images of natural scene. Such images contain multiple texture patterns that may vary in intensity, scale, and orientation but still look the same to humans. Existing methods have been successful in retrieving images that contain single uniform texture but their performance deteriorates when retrieving natural scene ...

Although it is very hard to quantify the visual impression of an image, we conjecture that the overall visual appearance of an image may be the combined effect of the appearances of image patches of various shapes and sizes. We can imagine that all possible appearances of image patches of all possible shapes and sizes form a conceptual appearance space. Each point in the appearance space theref...

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Contour or boundary descriptors may be used in contentbased image retrieval to effectively identify appropriate images when image content consists primarily of a single object of interest. The registration of object contours for the purposes of comparison is complicated when the objects of interest are characterized by open contours and when reliable feature points for contour alignment are abs...