Digital Signal Processing

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Key Frame Abstraction, Extraction and Browsing of Echocardiogram Videos


Affiliations
1 Department of E and TC Engineering, MMM’s College of Engineering, Karvenagar, Pune, India
2 Department of E and TC Engineering, Daulatrao Aher College of Engineering, Karad, India
3 Department of E and TC Engineering, Sinhgad College of Engineering, Vadgaon (bk), Pune, India
4 Department of E and TC Engineering, Sinhgad College of Engineering, Pune, India
     

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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

Echocardiogram Videos, PACS Video Summarization, Key-Frame Selection, Scene Boundary Detection, Video Skimming.
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  • Key Frame Abstraction, Extraction and Browsing of Echocardiogram Videos

Abstract Views: 194  |  PDF Views: 1

Authors

Dhiraj Manohar Dhane
Department of E and TC Engineering, MMM’s College of Engineering, Karvenagar, Pune, India
Prakash Jotiram Chorage
Department of E and TC Engineering, Daulatrao Aher College of Engineering, Karad, India
V. B. Baru
Department of E and TC Engineering, Sinhgad College of Engineering, Vadgaon (bk), Pune, India
Chetan Sharad Deokar
Department of E and TC Engineering, Sinhgad College of Engineering, Pune, India

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


Echocardiogram Videos, PACS Video Summarization, Key-Frame Selection, Scene Boundary Detection, Video Skimming.