The theory and practice of Bayesian image labeling
International Journal of Computer Vision
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Predicting Performance of Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Markov random field modeling in image analysis
Markov random field modeling in image analysis
Arrangement: A Spatial Relation Between Parts for Evaluating Similarity of Tomographic Section
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Unsupervised Learning of Models for Recognition
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Concept-based electronic health records: opportunities and challenges
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
AutoGate: Fast and Automatic Doppler Gate Localization in B-Mode Echocardiogram
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
A hierarchical approach for content-based echocardiogram video indexing and retrieval
Proceedings of the 2011 International Conference on Communication, Computing & Security
Modeling the activity pattern of the constellation of cardiac chambers in echocardiogram videos
CVAMIA'06 Proceedings of the Second ECCV international conference on Computer Vision Approaches to Medical Image Analysis
Modeling of echocardiogram video based on views and states
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
The synergy of 3d SIFT and sparse codes for classification of viewpoints from echocardiogram videos
MCBR-CDS'12 Proceedings of the Third MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
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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 between them.