with quick development of digital images and the availability of imaging tools, massive amounts of images are created. therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image processing. automatic image annotation (aia) or refers to attaching words, keywords or comments to an image or to a selected part of it. in this paper,...

Traditional content based image retrieval attempts to retrieve images using syntactic features for a query image. Annotated image banks and Google allow the use of text to retrieve images. In this paper, we studied the task of using the content of an image to retrieve information in general. We describe the significance of object identification in an information retrieval paradigm that uses ima...

This paper present the participation details of DEMIR (Dokuz Eylul University Multimedia Information Retrieval) research team at ImageCLEFwiki2011. This year we investigate on evaluating of different weighting models on text retrieval performance. In the case of low-level feature selection, we extracted different features and examined their performance to choose the proper feature for our exper...

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 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...