<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Conference Proceedings">
		<site>sibgrapi.sid.inpe.br 802</site>
		<holdercode>{ibi 8JMKD3MGPEW34M/46T9EHH}</holdercode>
		<identifier>6qtX3pFwXQZeBBx/GJPbf</identifier>
		<repository>sid.inpe.br/banon/2005/07.12.19.47</repository>
		<lastupdate>2005:07.12.03.00.00 sid.inpe.br/banon/2001/03.30.15.38 administrator</lastupdate>
		<metadatarepository>sid.inpe.br/banon/2005/07.12.19.47.21</metadatarepository>
		<metadatalastupdate>2022:06.14.00.12.58 sid.inpe.br/banon/2001/03.30.15.38 administrator {D 2005}</metadatalastupdate>
		<doi>10.1109/SIBGRAPI.2005.23</doi>
		<citationkey>GaviãoScha:2005:CoDiHy</citationkey>
		<title>Content-based diagnostic hysteroscopy summaries for video browsing</title>
		<format>On-line</format>
		<year>2005</year>
		<numberoffiles>1</numberoffiles>
		<size>1002 KiB</size>
		<author>Gavião, Wilson,</author>
		<author>Scharcanski, Jacob,</author>
		<affiliation>Instituto de Informática - UFRGS</affiliation>
		<editor>Rodrigues, Maria Andréia Formico,</editor>
		<editor>Frery, Alejandro César,</editor>
		<e-mailaddress>jacobs@inf.ufrgs.br</e-mailaddress>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)</conferencename>
		<conferencelocation>Natal, RN, Brazil</conferencelocation>
		<date>9-12 Oct. 2005</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>medical video summarization.</keywords>
		<abstract>In 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.</abstract>
		<language>en</language>
		<targetfile>gaviaow_scharcanskij_hysterosc.pdf</targetfile>
		<usergroup>jacobs administrator</usergroup>
		<visibility>shown</visibility>
		<nexthigherunit>8JMKD3MGPEW34M/46R3ED5</nexthigherunit>
		<nexthigherunit>8JMKD3MGPEW34M/4742MCS</nexthigherunit>
		<citingitemlist>sid.inpe.br/sibgrapi/2022/05.05.04.08 41</citingitemlist>
		<citingitemlist>sid.inpe.br/sibgrapi/2022/06.10.21.49 4</citingitemlist>
		<citingitemlist>sid.inpe.br/banon/2001/03.30.15.38.24 2</citingitemlist>
		<hostcollection>sid.inpe.br/banon/2001/03.30.15.38</hostcollection>
		<lasthostcollection>sid.inpe.br/banon/2001/03.30.15.38</lasthostcollection>
		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/banon/2005/07.12.19.47</url>
	</metadata>
</metadatalist>