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Metadata

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3EERDE5
Repositorysid.inpe.br/sibgrapi/2013/07.13.02.02
Last Update2013:07.13.02.02.00 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2013/07.13.02.02.01
Metadata Last Update2022:06.14.00.07.55 (UTC) administrator
DOI10.1109/SIBGRAPI.2013.39
Citation KeyCahuinaChav:2013:NeMeSt
TitleA New Method for Static Video Summarization Using Local Descriptors and Video Temporal Segmentation
FormatOn-line.
Year2013
Access Date2024, May 03
Number of Files1
Size6740 KiB
2. Context
Author1 Cahuina, Edward Jorge Yuri Cayllahua
2 Chavez, Guillermo Cámara
Affiliation1 UCSP, UFOP
2 Universidade Federal de Ouro Preto UFOP
EditorBoyer, Kim
Hirata, Nina
Nedel, Luciana
Silva, Claudio
e-Mail Addressecayllahua1@gmail.com
Conference NameConference on Graphics, Patterns and Images, 26 (SIBGRAPI)
Conference LocationArequipa, Peru
Date5-8 Aug. 2013
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2013-07-13 02:02:01 :: ecayllahua1@gmail.com -> administrator ::
2022-06-14 00:07:55 :: administrator -> :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsLocal descriptors
Temporal segmentation
Video summarization
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.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2013 > A New Method...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > A New Method...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3EERDE5
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3EERDE5
Languageen
Target File114951.pdf
User Groupecayllahua1@gmail.com
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SLB4P
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.04.02 10
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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