{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T23:35:26Z","timestamp":1761176126324,"version":"build-2065373602"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686318","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:00:00Z","timestamp":1761004800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,21]]},"abstract":"<jats:p>Video processing is generally divided into two main categories: processing of the entire video, which typically yields optimal classification outcomes, and real-time processing, where the objective is to make a decision as promptly as possible. Although the models dedicated to the processing of entire videos are typically well-defined and clearly presented in the literature, this is not the case for online processing, where a plethora of hand-devised methods exist. To address this issue, we present PrAViC, a novel, unified, and theoretically-based adaptation framework for tackling the online classification problem in video data. The initial phase of our study is to establish a mathematical background for the classification of sequential data, with the potential to make a decision at an early stage. This allows us to construct a natural function that encourages the model to return a result much faster. The subsequent phase is to present a straightforward and readily implementable method for adapting offline models to the online setting using recurrent operations. Finally, PrAViC is evaluated by comparing it with existing state-of-the-art offline and online models and datasets. This enables the network to significantly reduce the time required to reach classification decisions while maintaining, or even enhancing, accuracy.<\/jats:p>","DOI":"10.3233\/faia250833","type":"book-chapter","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:43:35Z","timestamp":1761126215000},"source":"Crossref","is-referenced-by-count":0,"title":["PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification"],"prefix":"10.3233","author":[{"given":"Magdalena","family":"Tr\u0119dowicz","sequence":"first","affiliation":[{"name":"Faculty of Mathematics and Computer Science, Jagiellonian University"},{"name":"Prometheus MedTech.AI"},{"name":"Doctoral School of Exact and Natural Sciences, Jagiellonian University"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3440-8173","authenticated-orcid":false,"given":"Marcin","family":"Mazur","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Computer Science, Jagiellonian University"}]},{"given":"Szymon","family":"Janusz","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Computer Science, Jagiellonian University"},{"name":"Prometheus MedTech.AI"},{"name":"Doctoral School of Exact and Natural Sciences, Jagiellonian University"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1922-1562","authenticated-orcid":false,"given":"Arkadiusz","family":"Lewicki","sequence":"additional","affiliation":[{"name":"Faculty of Applied Computer Science, University of Information Technology and Management in Rzeszow"},{"name":"Prometheus MedTech.AI"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6652-7727","authenticated-orcid":false,"given":"Jacek","family":"Tabor","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Computer Science, Jagiellonian University"},{"name":"Prometheus MedTech.AI"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4006-356X","authenticated-orcid":false,"given":"\u0141ukasz","family":"Struski","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Computer Science, Jagiellonian University"},{"name":"Prometheus MedTech.AI"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2025"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA250833","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:43:35Z","timestamp":1761126215000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA250833"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,21]]},"ISBN":["9781643686318"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia250833","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,21]]}}}