The theory and practice of Bayesian image labeling
International Journal of Computer Vision
Markov random field modeling in image analysis
Markov random field modeling in image analysis
Motion texture: a two-level statistical model for character motion synthesis
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Automatic view recognition in echocardiogram videos using parts-based representation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A hierarchical approach for content-based echocardiogram video indexing and retrieval
Proceedings of the 2011 International Conference on Communication, Computing & Security
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A novel approach is presented for modeling the complex activity pattern of the heart in echocardiogram videos. In this approach, the heart is represented by the constellation of its chambers, where the constellation is modeled by pictorial structure at each instance in time. Pictorial structure is then extended to the temporal domain to simultaneously capture the evolution pattern of the appearance of each chamber, the evolving spatial relationships between them, and the topological transformations in their constellation due to phase transitions. Inference and learning algorithms are presented for the model. The problem of correspondence is solved at each stage of the inference process, by matching the evolving model of the complex activity pattern to the observed constellations. The model, which is trained using examples of normal echocardiogram videos is shown to be efficient in temporal segmentation of the content of echocardiogram videos into different phases during one cycle of heart activity.