Search Results for author: Lucia Vadicamo

Found 6 papers, 2 papers with code

nSimplex Zen: A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces

1 code implementation22 Feb 2023 Richard Connor, Lucia Vadicamo

Dimensionality reduction techniques map values from a high dimensional space to one with a lower dimension.

Dimensionality Reduction

MOBDrone: a Drone Video Dataset for Man OverBoard Rescue

no code implementations15 Mar 2022 Donato Cafarelli, Luca Ciampi, Lucia Vadicamo, Claudio Gennaro, Andrea Berton, Marco Paterni, Chiara Benvenuti, Mirko Passera, Fabrizio Falchi

Modern Unmanned Aerial Vehicles (UAV) equipped with cameras can play an essential role in speeding up the identification and rescue of people who have fallen overboard, i. e., man overboard (MOB).

A Leap among Quantum Computing and Quantum Neural Networks: A Survey

1 code implementation6 Jul 2021 Fabio Valerio Massoli, Lucia Vadicamo, Giuseppe Amato, Fabrizio Falchi

In recent years, Quantum Computing witnessed massive improvements in terms of available resources and algorithms development.

The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval

no code implementations6 Aug 2020 Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo, Claudio Vairo

In this paper, we describe in details VISIONE, a video search system that allows users to search for videos using textual keywords, occurrence of objects and their spatial relationships, occurrence of colors and their spatial relationships, and image similarity.

Retrieval Text Retrieval +1

Aggregating Binary Local Descriptors for Image Retrieval

no code implementations2 Aug 2016 Giuseppe Amato, Fabrizio Falchi, Lucia Vadicamo

Content-Based Image Retrieval based on local features is computationally expensive because of the complexity of both extraction and matching of local feature.

Content-Based Image Retrieval Retrieval

Using Apache Lucene to Search Vector of Locally Aggregated Descriptors

no code implementations19 Apr 2016 Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo

In this paper, we propose to extend the Surrogate Text Representation to specifically address a class of visual metric objects known as Vector of Locally Aggregated Descriptors (VLAD).

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