DocumentCode :
2608767
Title :
Key frame abstraction, extraction, and browsing of echocardiogram videos
Author :
Dhane, Dhiraj Manohar ; Deokar, Chetan S.
Author_Institution :
Dept. of E & TC Eng., MMM´´s Coll. of Eng., Pune, India
fYear :
2010
fDate :
27-29 Dec. 2010
Firstpage :
220
Lastpage :
224
Abstract :
In this paper, we demonstrate a system for the key frame summarization, extraction, and browsing of the echocardiogram videos. Echocardiograms are video sequences produced by the ultrasound scanning of the heart. Echocardiography is the most common type of medical imaging modality in the field of cardiology. Our approach combines the domain-specific knowledge and the automatic analysis of the spatio-temporal structure of the echocardiogram videos. The videos are temporally sampled using the embedded electrocardiogram graph (ECG). The consecutive sampled frames are compared based on the shape of the region of interest to detect the boundaries between the different segments. The content of each segment of the video is summarized into two forms: the static and the dynamic summaries. Finally the summary is displayed in the user interface in an intuitive form for the purpose of browsing.
Keywords :
echocardiography; electrocardiography; feature extraction; image segmentation; image sequences; medical image processing; video signal processing; echocardiogram videos; embedded electrocardiogram graph; key frame abstraction; key frame browsing; key frame extraction; key frame summarization; medical imaging modality; ultrasound scanning; video sequences; Conferences; Industrial electronics; Service robots; Videos; Echocardiogram videos; PACS; key-frame selection; scene boundary detection; video skimming; video summarization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, Control & Robotics (IECR), 2010 International Conference on
Conference_Location :
Orissa
Print_ISBN :
978-1-4244-8544-4
Type :
conf
DOI :
10.1109/IECR.2010.5720147
Filename :
5720147
Link To Document :
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