1 Background It is difficult for many people to make 3D model. Generally, 3D model retrieval is easier than to make it for myself . Many works on CBIR(

This paper analyzes the similarity measurement in Content-based Image and Video Retrieval systems (CBIR). The goal is to identify preliminaries for successful queries as the basis for the implementation of a query engine in the Content-based Visual Information Retrieval framework (VizIR). VizIR is an open CBIR framework for researchers, software developers and instructors. Past efforts in CBIR ...

Content-based image retrieval in facial image collections is required in numerous applications. An interactive facial image retrieval method based on Self-Organizing Maps (SOM) is presented in this paper, in which multiple features are involved in the queries simultaneously. In addition, the retrieval performance is improved not only within queries for current user but also between queries by l...

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 ...