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Automated Classification of Film Scenes based on Film Grammar

dc.contributor.authorLanz, Corneliade_DE
dc.contributor.authorLukashevich, Hannade_DE
dc.contributor.authorNowak, Stefaniede_DE
dc.date.accessioned2017-11-14T13:52:07Z
dc.date.available2017-11-14T13:52:07Z
dc.date.issued2010
dc.description.abstractWhenever there are extensive data collections to handle, metadata can help to structure and simplify this task. On websites for Video on Demand services or for film recommendations, we often find tags to describe and to search for films. However, manual tagging of films is a time-consuming task with a strong demand for human resources. In this paper, we present an approach for automated classification and indexing of film scenes. Although the classification algorithm uses audiovisual information, we mainly focus on visual information. The conception of the visual features is based on film grammar. In order to cover multiple aspects of film grammar, we enrich the row of state-of-the-art visual features by several novel ones. The evaluation of the classification framework is performed on five categories Suspense, Interaction, Essential Features, Dynamic and Valence. Altogether, the best classification rate equals an accuracy of 83.60% for the classification of the amount of dynamics in film scenes.en
dc.identifier.isbn978-3-000311-13-0de_DE
dc.identifier.pissn0947-5125de_DE
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/4969
dc.language.isoenen
dc.relation.ispartofWorkshop Audiovisuelle Medien WAM 2010en
dc.subjectAutomated Video Classificationde_DE
dc.subjectFilm Grammarde_DE
dc.subjectFeaturesde_DE
dc.titleAutomated Classification of Film Scenes based on Film Grammaren
dc.typeText/Conference Paperen
gi.citation.endPage156
gi.citation.publisherPlaceChemnitzde_DE
gi.citation.startPage143de_DE
gi.conference.sessiontitleMedia Classificationen
gi.document.qualitydigidocen

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