This paper presents a planar shape recognition method for content based image retrieval in multimedia databases. Shapes are characterised by their corners, which are extracted from the curvature function of their contours. Then, corner sequences are compared by using Hidden MarkovModels so that the process is resistant against corner shifting and loss. The proposed method has been successfully ...

This contribution develops a new technique for content-based image retrieval. Where most existing image retrieval systems mainly focus on color and color distribution or texture, we classify the images based on local invariants. These features represent the image in a very compact way and allow fast comparison and feature matching with images in the database. Using local features makes the syst...

Shape is one of the main features in content based image retrieval (CBIR). This paper proposes a new shape signature. In this technique, features of each shape are extracted based on four sides of the rectangle that covers the shape. The proposed technique is Fourier based and it is invariant to translation, scaling and rotation. The retrieval performance between some commonly used Fourier base...

Text retrieval is one of the most basic tasks in the field of information retrieval. This paper deals with retrieving relevant documents for text-based queries from a database. Several different methods for retrieving text are explored, and show widely differing performance on different queries. It is shown how each of those methods may be improved through a “consistency learning” framework, wh...

In this paper, we present an ongoing work aiming to improve content based image retrieval performance with the help of logical concept analysis. Domain semantic is formalized and used instead of classical CBIR visual features. This is being applied to comicbooks using Sewelis.

In this article we focus on the presentation of the inner structure of the database for the Content-Based Image Retrieval (CBIR) system containing, in our case, house images. The main body describes the structure of the database (DB) managed with the Oracle 10g DB system. We present to the reader the main differences and problems connected with constructing image and spatial DB in comparison wi...

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 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...