TY - JOUR
T1 - Data science on multimedia data: Challenges and applications
AU - Piccialli, Francesco
AU - Bessis, Nik
AU - Jeon, Gwanggil
AU - Mele, Valeria
PY - 2022/1/1
Y1 - 2022/1/1
N2 - 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.
AB - 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.
U2 - 10.1007/s11042-022-12324-1
DO - 10.1007/s11042-022-12324-1
M3 - Editorial (journal)
SN - 1380-7501
VL - 81
SP - 3059
JO - Multimedia Tools and Applications
JF - Multimedia Tools and Applications
IS - 3
ER -