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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier6qtX3pFwXQZeBBx/GJPbf
Repositorysid.inpe.br/banon/2005/07.12.19.47
Last Update2005:07.12.03.00.00 (UTC) administrator
Metadatasid.inpe.br/banon/2005/07.12.19.47.21
Metadata Last Update2020:02.19.03.19.12 (UTC) administrator
Citation KeyGaviãoScha:2005:CoDiHy
TitleContent-based diagnostic hysteroscopy summaries for video browsing
FormatOn-line
Year2005
Access Date2021, Nov. 27
Number of Files1
Size1002 KiB
Context area
Author1 Gavião, Wilson
2 Scharcanski, Jacob
Affiliation1 Instituto de Informática - UFRGS
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
e-Mail Addressjacobs@inf.ufrgs.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Conference LocationNatal
Date9-12 Oct. 2005
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2005-07-12 19:47:21 :: jacobs -> banon ::
2005-07-13 15:37:38 :: banon -> jacobs ::
2008-07-17 14:10:59 :: jacobs -> banon ::
2008-08-26 15:17:01 :: banon -> administrator ::
2009-08-13 20:37:48 :: administrator -> banon ::
2010-08-28 20:01:18 :: banon -> administrator ::
2020-02-19 03:19:12 :: administrator -> :: 2005
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordsmedical video summarization
AbstractIn hospital practice, several diagnostic hysteroscopy videos are produced daily. These videos are continuous (non-interrupted) video sequences, usually recorded in full. However, only a few segments of the recorded videos are relevant from the diagnosis/prognosis point of view, and need to be evaluated and referenced later. This paper proposes a new technique to identify clinically relevant segments in diagnostic hysteroscopy videos, producing a rich and compact video summary which supports fast video browsing. Also, our approach facilitates the selection of representative key-frames for reporting the video contents in the patient records. The proposed approach requires two stages. Initially, statistical techniques are used for selecting relevant video segments. Then, a post-processing stage merges adjacent video segments that are similar, reducing temporal video over-segmentation. Our preliminary experimental results indicate that our method produces compact video summaries containing a selection of clinically relevant video segments. These experimental results were validated by specialists.
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data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/GJPbf
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/GJPbf
Languageen
Target Filegaviaow_scharcanskij_hysterosc.pdf
User Groupjacobs
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Visibilityshown
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Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark mirrorrepository nextedition nexthigherunit 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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