Novelty and Diversity in Image Retrieval

Simone Santini

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.

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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