Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2005: (UTC) administrator
Metadata Last Update2020: (UTC) administrator
Citation KeyGaviãoScha:2005:CoDiHy
TitleContent-based diagnostic hysteroscopy summaries for video browsing
Access Date2022, Jan. 22
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
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
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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Target Filegaviaow_scharcanskij_hysterosc.pdf
User Groupjacobs
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