Extensive use of digital photographic devices has resulted in large volumes of digital images
being acquired and stored in databases. Whether it is for scientific research, medical or …

Large-scale data management and retrieval in complex domains such as images, videos, or
biometrical data remains one of the most important and challenging information processing …

Similarity search and content-based retrieval have become widely used in multimedia
database systems that often manage huge data collections. Unfortunately, many effective …

Multimedia information is becoming an ubiquitous part of our lives, which brings an equally
ubiquitous need for efficient multimedia retrieval. One of the possible solutions to this …

Abstract Analysis of contemporary Big Data collections require an effective and efficient
content-based access to data which is usually unstructured. This first implies a necessity to …

Abstract Content-Based Image Retrieval (CBIR) is an automatic process of retrieving images
that are the most similar to a query image based on their visual content such as colour and …

The importance of automatic image annotation as a tool for handling large amounts of image
data has been recognized for several decades. However, working tools have long been …

This paper presents an annotation tool developed by the DISA Laboratory for the
ImageCLEF 2014 Scalable Concept Image Annotation challenge. Our solution exploits the …

Abstract Content-Based Image Retrieval (CBIR) is an automatic process of retrieving images
according to their visual content. Research in this field mainly follows two directions. The first …

The signature quadratic form distance and feature signatures have become a respected
similarity space for effective content-based retrieval. Furthermore, the similarity space is …