Data science on multimedia data: Challenges and applications

Francesco Piccialli*, Nik Bessis, Gwanggil Jeon, Valeria Mele

*Corresponding author for this work

Research output: Contribution to journalEditorial (journal)

Abstract

Data science on multimedia data: Challenges and applications Page 1 EDITORIAL NOTE Data science on multimedia data: Challenges and applications © Springer Science+Business Media, LLC, part of Springer Nature 2022 Multimedia Tools and Applications gratefully acknowledges the editorial work of the scholars listed below on the special issue entitled “Data Science on Multimedia Data: Challenges and Applications” (SI 1167). Of 55 papers submitted, 10 were accepted for this issue after a stringent peer review process.
Original languageEnglish
Pages (from-to)3059
Number of pages1
JournalMultimedia Tools and Applications
Volume81
Issue number3
DOIs
Publication statusPublished - 1 Jan 2022

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