A New Method for Static Video Summarization Using Local Descriptors and Video Temporal Segmentation

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dc.contributor.authorCayllahua Cahuina, Edward
dc.contributor.authorCamara Chavez, Guillermo
dc.date.accessioned2019-01-29T22:19:54Z
dc.date.available2019-01-29T22:19:54Z
dc.date.issued2013
dc.description.abstractThe continuous creation of digital video has caused an exponential growth of digital video content. To increase the usability of such large volume of videos, a lot of research has been made. Video summarization has been proposed to rapidly browse large video collections. To summarize any type of video, researchers have relied on visual features contained in frames. In order to extract these features, different techniques have used local or global descriptors. In this paper, we propose a method for static video summarization that can produce meaningful and informative video summaries. We perform an evaluation using over 100 videos in order to achieve a stronger position about the performance of local descriptors in semantic video summarization. Our experimental results show, with a confidence level of 99%, that our proposed method using local descriptors and temporal video segmentation produces better summaries than state of the art methods. We also demonstrate the importance of a more elaborate method for temporal video segmentation, improving the generation of summaries, achieving 10% improvement in accuracy. We also acknowledge a marginal importance of color information when using local descriptors to produce video summaries. © 2013 IEEE.es_PE
dc.description.uriTrabajo de investigaciónes_PE
dc.identifier.doihttps://doi.org/10.1109/SIBGRAPI.2013.39es_PE
dc.identifier.isbnurn:isbn:9780769550992es_PE
dc.identifier.issn15301834es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/15869
dc.language.isoenges_PE
dc.publisherScopuses_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84891532974&doi=10.1109%2fSIBGRAPI.2013.39&partnerID=40&md5=a0affe279540362a411601282736ba96es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectDigital video contentes_PE
dc.subjectExponential growthes_PE
dc.subjectLocal descriptorses_PE
dc.subjectState-of-the-art methodses_PE
dc.subjectTemporal segmentationses_PE
dc.subjectTemporal video segmentationes_PE
dc.subjectVideo summarizationes_PE
dc.subjectVideo temporal segmentationes_PE
dc.subjectComputer graphicses_PE
dc.subjectMultimedia systemses_PE
dc.subjectSemanticses_PE
dc.subjectVideo signal processinges_PE
dc.subjectVideo recordinges_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.00es_PE
dc.titleA New Method for Static Video Summarization Using Local Descriptors and Video Temporal Segmentationes_PE
dc.typeinfo:eu-repo/semantics/conferenceObject
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