| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | sibgrapi.sid.inpe.br |
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
| Identifier | 6qtX3pFwXQZG2LgkFdY/LPfUC |
| Repository | sid.inpe.br/sibgrapi@80/2006/07.20.16.38 |
| Last Update | 2006:07.20.16.38.30 (UTC) administrator |
| Metadata Repository | sid.inpe.br/sibgrapi@80/2006/07.20.16.38.31 |
| Metadata Last Update | 2022:06.14.00.13.16 (UTC) administrator |
| DOI | 10.1109/SIBGRAPI.2006.48 |
| Citation Key | CámaraChávezCorPrePhiAlb:2006:ViSeSu |
| Title | Video Segmentation by Supervised Learning  |
| Format | On-line |
| Year | 2006 |
| Access Date | 2024, Apr. 28 |
| Number of Files | 1 |
| Size | 208 KiB |
| 2. Context | |
| Author | 1 Cámara Chávez, Guillermo 2 Cord, Matthieu 3 Precioso, Frederic 4 Philipp-Foliguet, Sylvie 5 de Albuquerque Araújo, Arnaldo |
| Affiliation | 1 Equipe Traiment des Images et du Signal - ENSEA 2 Equipe Traiment des Images et du Signal - ENSEA 3 Equipe Traiment des Images et du Signal - ENSEA 4 Equipe Traiment des Images et du Signal - ENSEA 5 Departamento de Ciência da Computação - UFMG |
| Editor | Oliveira Neto, Manuel Menezes de Carceroni, Rodrigo Lima |
| e-Mail Address | chavez@ensea.fr |
| Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI) |
| Conference Location | Manaus, AM, Brazil |
| Date | 8-11 Oct. 2006 |
| Publisher | IEEE Computer Society |
| Publisher City | Los Alamitos |
| Book Title | Proceedings |
| Tertiary Type | Full Paper |
| History (UTC) | 2006-07-20 16:38:31 :: gcamarac -> banon :: 2006-08-30 21:49:58 :: banon -> gcamarac :: 2008-07-17 14:11:03 :: gcamarac -> administrator :: 2009-08-13 20:38:09 :: administrator -> banon :: 2010-08-28 20:02:24 :: banon -> administrator :: 2022-06-14 00:13:16 :: administrator -> :: 2006 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Version Type | finaldraft |
| Keywords | video segmentation cut detection supervised learning |
| Abstract | In most of video shot boundary detection algorithms, proposed in the literature, several parameters and thresholds have to be set in order to achieve good results. In this paper, to get rid of parameters and thresholds, we explore a supervised classification method for video shot segmentation. We transform the temporal segmentation into a class categorization issue. Our approach defines a uniform framework for combining different kinds of features extracted from the video. Our method does not require any pre-processing step to compensate motion or post-processing filtering to eliminate false detected transitions. The experiments, following strictly the TRECVID 2002 competition protocol, provide very good results dealing with a large amount of features thanks to our kernel-based SVM classification method. |
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2006 > Video Segmentation by... |
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Video Segmentation by... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/LPfUC |
| zipped data URL | http://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/LPfUC |
| Language | en |
| Target File | sibgrapi_camara_video.pdf |
| User Group | gcamarac administrator |
| Visibility | shown |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPEW34M/46RFT7E 8JMKD3MGPEW34M/4742MCS |
| Citing Item List | sid.inpe.br/sibgrapi/2022/05.08.00.20 4 |
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
| 6. Notes | |
| Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository 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 |