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Automatic View Recognition in Echocardiogram Videos Using Parts-Based Representation

9 years 9 months ago
Automatic View Recognition in Echocardiogram Videos Using Parts-Based Representation
Indexing echocardiogram videos at different levels of structure is essential for providing efficient access to their content for browsing and retrieval purposes. We present a novel approach for the automatic identification of the views of the heart from the content of the echocardiogram videos. In this approach the structure of the heart is represented by the constellation of its parts (chambers) under the different views. The statistical variations of the parts in the constellation and their spatial relationships are modeled using Markov Random Field models. A discriminative method is then used for view recognition which fuses the assessments of a test image by all the view-models. To the best of our knowledge, this is the first work addressing the analysis of the echocardiogram videos for the purpose of indexing their content. The method presented could be used for multiple-object recognition when the objects are represented by their parts and there are structural similarities betwe...
Shahram Ebadollahi, Shih-Fu Chang, Henry Wu
Added 12 Oct 2009
Updated 29 Oct 2009
Type Conference
Year 2004
Where CVPR
Authors Shahram Ebadollahi, Shih-Fu Chang, Henry Wu
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