Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11779/1507
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Öztufan, Huseyin Efe | - |
dc.contributor.author | Yıldırım, Göktuğ | - |
dc.contributor.author | Arısoy, Ebru | - |
dc.date.accessioned | 2021-07-03T15:23:52Z | |
dc.date.available | 2021-07-03T15:23:52Z | |
dc.date.issued | 2020 | - |
dc.identifier.citation | Oztufan, H. E., Yildirim, G., & Arisoy, E., (5-7 Oct. 2020) 28th Signal Processing and Communications Applications Conference (SIU). (October 05, 2020). Highlighting of Lecture Video Closed Captions. 1-4. | en_US |
dc.identifier.issn | 9781728172064 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11779/1507 | - |
dc.description | Book Series: Signal Processing and Communications Applications Conference | en_US |
dc.description.abstract | The main purpose of this study is to automatically highlight important regions of lecture video subtitles. Even though watching videos is an effective way of learning, the main disadvantage of video-based education is limited interaction between the learner and the video. With the developed system, important regions that are automatically determined in lecture subtitles will be highlighted with the aim of increasing the learner's attention to these regions. In this paper first the lecture videos are converted into text by using an automatic speech recognition system. Then continuous space representations for sentences or word sequences in the transcriptions are generated using Bidirectional Encoder Representations from Transformers (BERT). Important regions of the subtitles are selected using a clustering method based on the similarity of these representations. The developed system is applied to the lecture videos and it is found that using word sequence representations in determining the important regions of subtitles gives higher performance than using sentence representations. This result is encouraging in terms of automatic highlighting of speech recognition outputs where sentence boundaries are not defined explicitly. | en_US |
dc.language.iso | tr | en_US |
dc.publisher | IEEE | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Otomatik konuşma tanıma | en_US |
dc.subject | Ders yazılandırmalarının otomatik vurgulanması | en_US |
dc.subject | Özet oluşturma | en_US |
dc.subject | Automatic speech recognition | en_US |
dc.subject | Lecture transcription highlighting | en_US |
dc.subject | Summarization | en_US |
dc.title | Highlighting of lecture video closed captions | en_US |
dc.title.alternative | Ders Anlatım Video Altyazılarında Önemli Kısımların Belirlenmesi Highlighting of Lecture Video Closed Captions | en_US |
dc.type | Conference Object | en_US |
dc.identifier.doi | 10.1109/SIU49456.2020.9302077 | - |
dc.identifier.scopus | 2-s2.0-85100293155 | en_US |
dc.authorid | Ebru Arısoy / 0000-0002-8311-3611 | - |
dc.description.woscitationindex | Conference Proceedings Citation Index - Science | - |
dc.description.WoSDocumentType | Proceedings Paper | |
dc.description.WoSInternationalCollaboration | Uluslararası işbirliği ile yapılmayan - HAYIR | en_US |
dc.description.WoSPublishedMonth | October | en_US |
dc.description.WoSIndexDate | 2020 | en_US |
dc.description.WoSYOKperiod | YÖK - 2020-21 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.startpage | 1-4 | en_US |
dc.department | Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü | en_US |
dc.relation.journal | 2020 28th Signal Processing and Communications Applications Conference (SIU) | en_US |
dc.identifier.wos | WOS:000653136100051 | en_US |
dc.institutionauthor | Arısoy, Ebru | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | embargo_20400101 | - |
item.languageiso639-1 | tr | - |
item.cerifentitytype | Publications | - |
item.fulltext | With Fulltext | - |
item.openairetype | Conference Object | - |
Appears in Collections: | Elektrik Elektronik Mühendisliği Bölümü koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Files in This Item:
File | Description | Size | Format | |
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09302077.pdf Until 2040-01-01 | Proceedings Paper | 118.11 kB | Adobe PDF | View/Open Request a copy |
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