Dense Trajectories and DHOG for Classification of Viewpoints from Echocardiogram Videos
Joint Authors
Huang, Liqin
Zhang, Xiangyu
Li, Wei
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-29
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
In echo-cardiac clinical computer-aided diagnosis, an important step is to automatically classify echocardiography videos from different angles and different regions.
We propose a kind of echocardiography video classification algorithm based on the dense trajectory and difference histograms of oriented gradients (DHOG).
First, we use the dense grid method to describe feature characteristics in each frame of echocardiography sequence and then track these feature points by applying the dense optical flow.
In order to overcome the influence of the rapid and irregular movement of echocardiography videos and get more robust tracking results, we also design a trajectory description algorithm which uses the derivative of the optical flow to obtain the motion trajectory information and associates the different characteristics (e.g., the trajectory shape, DHOG, HOF, and MBH) with embedded structural information of the spatiotemporal pyramid.
To avoid “dimension disaster,” we apply Fisher’s vector to reduce the dimension of feature description followed by the SVM linear classifier to improve the final classification result.
The average accuracy of echocardiography video classification is 77.12% for all eight viewpoints and 100% for three primary viewpoints.
American Psychological Association (APA)
Huang, Liqin& Zhang, Xiangyu& Li, Wei. 2016. Dense Trajectories and DHOG for Classification of Viewpoints from Echocardiogram Videos. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1100242
Modern Language Association (MLA)
Huang, Liqin…[et al.]. Dense Trajectories and DHOG for Classification of Viewpoints from Echocardiogram Videos. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1100242
American Medical Association (AMA)
Huang, Liqin& Zhang, Xiangyu& Li, Wei. Dense Trajectories and DHOG for Classification of Viewpoints from Echocardiogram Videos. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1100242
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100242