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dc.date.accessioned 2020-02-17T17:59:56Z
dc.date.available 2020-02-17T17:59:56Z
dc.date.issued 2019
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/89188
dc.description.abstract The creation, consumption, and manipulation of video play a central role in everyday life as the amount of video data is growing at an exponential rate. Video summarization consists on producing a condensed output from a video that allows humans to rapidly understand and browse the content of the original source. Although there are several evaluation approaches proposed in the literature, multiple challenges make the quantitative evaluation of a summarization a complex process. In this paper we present a completely open video summarization evaluation framework that is compatible with existing datasets and published results. Standard metrics are considered and a new metric that captures unbalanced-class video summarization evaluation is proposed. Two legacy datasets are integrated in a standard format. Finally, new quantitative results based on already published algorithms are presented. en
dc.format.extent 58-63 es
dc.language en es
dc.subject Algorithms es
dc.subject Video summarization es
dc.title An Open Source Quantitative Evaluation Framework for Automatic Video Summarization Algorithms en
dc.type Objeto de conferencia es
sedici.identifier.issn 2683-8990 es
sedici.creator.person Balmaceda, Leandro es
sedici.creator.person Diaz, Ariel I. es
sedici.creator.person Rostagno, Adrián es
sedici.creator.person Aggio, Santiago L. es
sedici.creator.person Blanco, Anibal es
sedici.creator.person Iparraguirre, Javier es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/
sedici.date.exposure 2019-09
sedici.relation.event I Simposio Argentino de Imágenes y Visión (SAIV 2019) - JAIIO 48 (Salta) es
sedici.description.peerReview peer-review es

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Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)