With the availability of internet technology and the low-cost of digital image sensor,
enormous amount of image databases have been created in different kind of applications …

Feature extraction (FE) is an important step in image retrieval, image processing, data
mining and computer vision. FE is the process of extracting relevant information from raw …

Cross-domain images have been witnessed in an increasing number of applications. This
new trend triggers demands for cross-domain image retrieval (CDIR), which finds images in …

Clustering validity index (CVI) plays an important role in data partitioning and image
segmentation. In this paper, a new CVI is proposed to perform the color image …

The aim of content-based image retrieval system is finding similar images to the query
image from a database based on its visual content. In this paper, a novel retrieval system …

The amount of image content on the Internet has increased dramatically in recent years; its
precise search and retrieval is a challenge at present. The methods that have shown high …

In today's era image retrieval is most emerging trends of digital image processing
techniques. Traditional methods for retrieval such as Text and Query based image retrieval …

As the growth of digital images is been widely increased over the last few years on internet,
the retrieval of required image is been a big problem. In this paper, a combinational …

The growing need for smart surveillance solutions requires that modern video capturing
devices to be equipped with advance features, such as object detection, scene …

Content-based image retrieval (CBIR) using visual saliency in the pixel domain has shown
promising retrieval results at lesser computational cost as features are extracted only from …