@InProceedings{GaviãoScha:2005:CoDiHy,
author = "Gavi{\~a}o, Wilson and Scharcanski, Jacob",
affiliation = "{Instituto de Inform{\'a}tica - UFRGS}",
title = "Content-based diagnostic hysteroscopy summaries for video
browsing",
booktitle = "Proceedings...",
year = "2005",
editor = "Rodrigues, Maria Andr{\'e}ia Formico and Frery, Alejandro
C{\'e}sar",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 18.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "medical video summarization.",
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.",
conference-location = "Natal, RN, Brazil",
conference-year = "9-12 Oct. 2005",
doi = "10.1109/SIBGRAPI.2005.23",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2005.23",
language = "en",
ibi = "6qtX3pFwXQZeBBx/GJPbf",
url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/GJPbf",
targetfile = "gaviaow_scharcanskij_hysterosc.pdf",
urlaccessdate = "2024, Apr. 27"
}