This paper introduces a flexible search strategy for image or image category retrieval in
large databases. The process is based on a search-by-similarity method in which both …

This paper presents RETIN, a new system for automatic image indexing and interactive
content-based image retrieval. The most original aspect of our work rests on the distance …

We deal with content-based image indexing and category retrieval in general databases.
When large categories are searched, systems must explore the database. We introduce an …

ABSTRACT Content Based Image Retrieval is an interesting topic of research since years.
Specifically, it is on developing technologies for bridging the semantic gap that currently …

We present a new version of our content-based image retrieval system RETIN. It is based on
adaptive quantization of the color space, together with new features aiming at representing …

This paper reports an approach to improve content-based image retrieval systems. Most
current systems are based on a single technique for feature extraction and similarity search …

Query by example is a common model developed for content-based image retrieval. The
purpose of such a tool is to extract from a large database the most similar images to a …

A content-based image retrieval system to support complex similarity queries consisting of
more than one similarity query is presented. The indexing scheme and evaluation strategies …

This abstract describes my doctoral thesis in the field of multimedia/content-based image
retrieval (CBIR). CBIR aims at searching image libraries for specific image features (eg …

The purpose of content based image retrieval (CBIR) systems is to allow users to retrieve
pictures from large image repositories. In a CBIR system, an image is usually represented as …