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dc.contributor.authorHoushmand Sarkhoosh, Mehdi
dc.contributor.authorDorcheh, Sayed Mohammad Majidi
dc.contributor.authorMidoglu, Cise
dc.contributor.authorSabet, Saeed Shafiei
dc.contributor.authorKupka, Tomas
dc.contributor.authorJohansen, Dag
dc.contributor.authorRiegler, Michael Alexander
dc.contributor.authorHalvorsen, Pål
dc.date.accessioned2024-11-18T13:22:07Z
dc.date.available2024-11-18T13:22:07Z
dc.date.issued2024-08-23
dc.description.abstractSports multimedia is among the most prominent types of content distributed across social media today, and the retargeting of videos for diverse aspect ratios is essential for a suitable representation on different social media platforms. In this respect, ice hockey is quite challenging due to its agile movement pattern and speed, and because the main reference point (puck) is very small. In this paper, we introduce a novel pipeline for intelligent video cropping tailored for ice hockey. Our main goal is to identify regions of interest in video frames by detecting and tracking the hockey puck using state-of-the-art AI models. Our pipeline employs scene detection, object detection, outlier detection, and smoothing as key features. Our proposed pipeline called SmartCrop-H is not only highly efficient and configurable with respect to target aspect ratios, but also addresses the automation needs in this domain. Our comprehensive evaluation, comprising objective and subjective measures, shows the overall efficiency of the entire pipeline, including assessments of both the individual components and the end-to-end system performance. We also demonstrate the practical applicability of SmartCrop-H with a user study, which indicates that our framework performs on par with, or even surpasses, professional tools in terms of output quality.en_US
dc.identifier.citationHoushmand Sarkhoosh, Dorcheh, Midoglu, Sabet, Kupka, Johansen, Riegler, Halvorsen. AI-Based Cropping of Ice Hockey Videos for Different Social Media Representations. IEEE Access. 2024;12:118227-118249en_US
dc.identifier.cristinIDFRIDAID 2318486
dc.identifier.doi10.1109/ACCESS.2024.3449152
dc.identifier.issn2169-3536
dc.identifier.urihttps://hdl.handle.net/10037/35753
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.journalIEEE Access
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2024 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)en_US
dc.titleAI-Based Cropping of Ice Hockey Videos for Different Social Media Representationsen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)