Novelty and Diversity in Image Retrieval

Simone Santini

2018

Abstract

This paper studies the formalization and the use of the concepts of novelty and diversity to diversify the result set of a multimedia query, avoiding the presence of uninformative results. First, we review and adapt several diversity measures proposed in the information retrieval literature. The problem of maximizing diversity being NP-complete, we propose a general greedy algorithm (dependent on a scoring function) for finding an approximate solution, and instantiate it using three scenarios: a probabilistic one, a fuzzy one, and a geometric one. Finally, we perform tests on two data sets, one in which retrieval is based on annotations and the other in which retrieval is purely visual.

Paper Citation

in Harvard Style

Santini S. (2018). Novelty and Diversity in Image Retrieval.In Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 1: ICETE, ISBN 978-989-758-319-3, pages 337-346. DOI: 10.5220/0006856703370346

in Bibtex Style

@conference{icete18,
author={Simone Santini},
title={Novelty and Diversity in Image Retrieval},
booktitle={Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 1: ICETE,},
year={2018},
pages={337-346},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006856703370346},
isbn={978-989-758-319-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 1: ICETE,
TI - Novelty and Diversity in Image Retrieval
SN - 978-989-758-319-3
AU - Santini S.
PY - 2018
SP - 337
EP - 346
DO - 10.5220/0006856703370346