%0 Conference Proceedings
%T Content-based diagnostic hysteroscopy summaries for video browsing
%A Gavião, Wilson,
%A Scharcanski, Jacob,
%@affiliation Instituto de Informática - UFRGS
%E Rodrigues, Maria Andréia Formico,
%E Frery, Alejandro César,
%B Brazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
%8 9-12 Oct. 2005
%I IEEE Computer Society
%J Los Alamitos
%K medical video summarization.
%X 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.