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...

The project P.A.T.H.S. is an indigenously developed positive youth development program in Hong Kong. In the extension phase (2009/2010 school year), subjective outcome evaluation data were collected from 231 schools involving 89,068 participants after completion of the curricula-based Tier 1 Program. With schools as the units of analysis, results showed that participants generally had positive ...

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...

Text embedded in video sequences is very important to semantic indexing and content-based retrieval system, especially for large scale news collection. However, its detection and extraction is still an open problem due to the variety of its size and the complexity of the backgrounds. In this paper, we propose an approach for automatic Arabic-text localization based on a novel method for text-li...

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...