Query-Adaptive Remote Sensing Image Retrieval Based on Image Rank Similarity and Image-to-Query Class Similarity

Image Retrieval: Color and Texture Combining Based on Query-Image

It is a common way to process different image features independently in order to measure similarity between images. Color and texture are the common ones to use for searching in natural images. In [10] a technique to combine color and texture features based on a particular query-image in order to improve retrieval efficiency was proposed. Weighted linear combination of color and texture metrics...

Image Retrieval Based on Similarity Learning

Most traditional image retrieval approaches are based on text surrounding images and fail to capture the content information of the images. These approaches are able to satisfy the present demands. To overcome the limitations of previous approaches, in this paper, we propose a new image retrieval method based on probability similarity learning which is able to exploit probabilistic distribution...

Image retrieval based on region shape similarity

This paper presents an image retrieval method based on region shape similarity. In our approach, we first segment images into primitive regions and then combine some of the primitive regions to generate meaningful composite shapes, which are used as semantic units of the images during the similarity assessment process. We employ three global shape features and a set of normalized Fourier descri...

Query Model - Based Content - Based Image Retrieval : Similarity Definition , Application and Automation - ABSTRACT

Content-based Image Retrieval Using Image Regions as Query Examples

A common approach to content-based image retrieval is to use example images as queries; images in the collection that have low-level features similar to the query examples are returned in response to the query. In this paper, we explore the use of image regions as query examples. We compare the retrieval effectiveness of using whole images, single regions, and multiple regions as examples. We a...