This paper presents the first participation of the University of Ottawa group in the Photo Retrieval task at Image CLEF 2008. Our system uses Lucene for text indexing and LIRE for image indexing. We experiment with several clustering methods in order to retrieve images from diverse clusters. The clustering methods are: k-means clustering, hierarchical clustering, and our own method based on Wor...

A mathematical morphology based approach for color image indexing is explored in this paper. Morphological signatures are powerful descriptions of the image content in the framework of mathematical morphology. A morphological signature (either a pattern spectrum or a differential morphological profile) is defined as a series of morphological operations (namely openings and closings) considering...

Color has been widely used for content-based image and video retrieval. However its robustness, effectiveness, and efficiency in image indexing are still open issues. The definition of feature similarity also plays a fundamental role in content-based retrieval, as images with "similar" feature distributions are considered similar in appearance without requiring any semantic expression of this. ...

In this evaluation the efficiency of three image signature called angular spectrum, Hough based signature and color histogram are tested The first signature is intrinsic hierarchical (deriving from image frequency spectrum) and than non signature space reduction technique is used. The second is a short signature directly indexed and the last (color histogram) need to be reduced for fast indexin...

This paper presents the first participation of the University of Ottawa group in the Photo Retrieval task at Image CLEF 2008. Our system uses the following components: Lucene for text indexing and LIRE for image indexing. We experiment with several clustering methods in order to retrieve images from diverse clusters. The clustering methods are: k-means clustering, hierarchical clustering, and o...

We present ongoing work for the computer-assisted indexing of biomedical images at the Lister Hill National Center for Biomedical Communications, a research and development division of the National Library of Medicine (NLM). For any class of biomedical images, a problem confronting the researcher in image indexing is developing robust algorithms for localizing and identifying anatomy relevant f...

A document conveys information using multiple modalities, including text, layout/style and images. For example, journal articles usually have figures to illustrate experimental results, and the title in a journal article usually has a different font size than the body text. Indexing and retrieval using only text is the traditional way of IR (Information Retrieval). With the development of the I...

The explosive growth of image data leads to the research and development of image content searching and indexing systems. Image annotation systems aim at annotating automatically animage with some controlled keywords that can be used for indexing and retrieval of images. This paper presents a comparative evaluation of the image content annotation system by using the multilayer neural networks a...

One of the important evidence in a crime scene that is normally overlooked but very important evidence is shoe print as the criminal is normally unaware of the mask for this. In this paper we use image processing technique to process reference shoe images to make it index-able for a search from the database the shoe print impressions available in the commercial market. This is achieved first by...