Metric indexes are traditionally used for organizing unstructured or complex data to speed
up similarity queries. The most widely-used indexes cluster data or divide space using hyper …

In real-time object tracking systems, it is essential to assign a unique identifier or label to
each tracked object to distinguish it from other objects to reduce the number of ID switching …

A novel concept of a metric hull has recently been introduced to encompass a set of objects
by a few selected border objects. Following one of the metric-hull computation methods that …

ABSTRACT Introduction This paper presents CoSIM‐Gres, a new module implemented over
Postgres capable of performing exact similarity searches to answer both Range and …

Real-world applications generate large amounts of images every day. With the generalized
use of social media, users frequently share images acquired by smartphones. Also …

The proliferation of interconnected devices in the Internet of Things (IoT) has led to an
exponential increase in data, commonly known as Big IoT Data. Efficient retrieval of this …

This paper addresses the issue of the real-time tracking quality of moving objects in large-
scale video surveillance systems. During the tracking process, the system assigns an …

In recent years, the large amount of continuous and heterogeneous datagenerated by the
Internet of Things (IoT) sensors and devices madetheir record and the query search tasks …

In this paper, we present FeatSet, a compilation of visual features extracted from open image
datasets reported in the literature. FeatSet has a collection of 11 visual features, consisting …

Os avanços na tecnologia proporcionaram o aumento crescente na geração de dados e nos
novos tipos de dados, tornando necessário estender os SGBDs para possibilitar armazenar …