Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPAW/3PJ69JP |
Repository | sid.inpe.br/sibgrapi/2017/09.05.00.08 |
Last Update | 2017:09.05.00.08.16 gui.bmartins3@gmail.com |
Metadata | sid.inpe.br/sibgrapi/2017/09.05.00.08.16 |
Metadata Last Update | 2020:02.20.22.06.47 administrator |
Citation Key | MartinsAlmePapa:2017:ViPrAn |
Title | Video processing and analysis through Optimum-Path Forest  |
Format | On-line |
Year | 2017 |
Access Date | 2021, Jan. 25 |
Number of Files | 1 |
Size | 226 KiB |
Context area | |
Author | 1 Martins, Guilherme Brandão 2 Almeida, Jurandy 3 Papa, João Paulo |
Affiliation | 1 São Paulo State University 2 Federal University of São Paulo 3 São Paulo State University |
Editor | Torchelsen, Rafael Piccin Nascimento, Erickson Rangel do Panozzo, Daniele Liu, Zicheng Farias, Mylène Viera, Thales Sacht, Leonardo Ferreira, Nivan Comba, João Luiz Dihl Hirata, Nina Schiavon Porto, Marcelo Vital, Creto Pagot, Christian Azambuja Petronetto, Fabiano Clua, Esteban Cardeal, Flávio |
e-Mail Address | gui.bmartins3@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 30 (SIBGRAPI) |
Conference Location | Niterói, RJ |
Date | Oct. 17-20, 2017 |
Book Title | Proceedings |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Tertiary Type | Master's or Doctoral Work |
History | 2017-09-05 00:08:16 :: gui.bmartins3@gmail.com -> administrator :: 2020-02-20 22:06:47 :: administrator -> :: 2017 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | video summarization, clustering, optimum-path forest. |
Abstract | Currently, a number of improvements related to computational networks and data storage technologies have allowed a considerable amount of digital content to be provided on the Internet, mainly through social networks. In order to exploit this context, video processing and pattern recognition approaches have received a considerable attention in the last years. The main goal of this work is to employ the OptimumPath Forest classifier in both video summarization and video genre classification processes as well as to conduct a viability study of such classifier in the aforementioned contexts. The resultshave shown this classifier can achieve promising performances, being very close in terms of summary quality and consistent recognition rates to some state-of-the-art video summarization and video genre classification approaches, respectively. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPAW/3PJ69JP |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3PJ69JP |
Language | en |
Target File | Paper_Martins_SIBGRAPI2017_WTD.pdf |
User Group | gui.bmartins3@gmail.com |
Visibility | shown |
Update Permission | not transferred |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3PJT9LS 8JMKD3MGPAW/3PKCC58 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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