Saliency dataset and predictive model for areas of interest in vvc perceptual coding

dc.contributor.author	Kessler Martin, J.
dc.contributor.author	Fernández Lagos, P.
dc.contributor.author	García Lucas, David
dc.contributor.author	Cebrián Márquez, G.
dc.contributor.author	Rios, B.
dc.contributor.author	Vigueras, G.
dc.contributor.author	Díaz Honrubia, A. J.
dc.date.accessioned	2025-03-14T08:51:04Z
dc.date.available	2025-03-14T08:51:04Z
dc.date.issued	2024
dc.identifier.isbn	979-835039015-5
dc.identifier.issn	1945-7871
dc.identifier.uri	https://hdl.handle.net/10651/77615
dc.description.sponsorship	This work has been supported by the Spanish Ministry of Science and Innovation, the Agencia Estatal de Investigaci on (10.13039/501100011033) and the European Commission (FEDER: A way to make Europe) under projects PID2021-128167OA-I00, PID2021-123627OB-C52, and PID2022- 142332OA-I00, and by the Regional Government of Castilla-La Mancha under project SBPLY/21/180501/000195.
dc.language.iso	eng
dc.relation.ispartof	Proceedings - IEEE International Conference on multimedia and expo
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206585549&doi=10.1109%2fICME57554.2024.10687868&partnerID=40&md5=3ebd103aeb9bed2c09fa68214ad401fa
dc.title	Saliency dataset and predictive model for areas of interest in vvc perceptual coding
dc.type	conference output
dc.identifier.doi	10.1109/ICME57554.2024.10687868
dc.relation.publisherversion	http://dx.doi.org/10.1109/ICME57554.2024.10687868

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