Exquisitor at the Video Browser Showdown 2021: Relationships Between Semantic Classifiers

Autor:	Khan, O.S., Jónsson, B.Þ., Larsen, M., Poulsen, L., Koelma, D.C., Rudinac, S., Worring, M., Zahálka, J., Lokoč, J., Schoeffmann, K., Li, X., Patras, I., Skopal, T., Mezaris, V., Vrochidis, S.
Přispěvatelé:	Multimedia Analytics Lab (IvI, FNWI), Operations Management (ABS, FEB), Faculty of Science
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	Computer science Human–computer interaction Scalability 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Video browsing 02 engineering and technology Extension (predicate logic) Interactive Learning
Zdroj:	MultiMedia Modeling: 27th International Conference, MMM 2021 : Prague, Czech Republic, June 22–24, 2021 : proceedings, 2, 410-416 MultiMedia Modeling ISBN: 9783030678340 MMM (2)
Popis:	Exquisitor is a scalable media exploration system based on interactive learning, which first took part in VBS in 2020. This paper presents an extension to Exquisitor, which supports operations on semantic classifiers to solve VBS tasks with temporal constraints. We outline the approach and present preliminary results, which indicate the potential of the approach.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::595e08aa2a63a5f0b5688118aabb731a https://dare.uva.nl/personal/pure/en/publications/exquisitor-at-the-video-browser-showdown-2021-relationships-between-semantic-classifiers(3b84fd49-f825-4706-ae23-170ad8134293).html Zobrazit plný text záznamu