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Layered Dynamic Mixture Model for Pattern Discovery in Asynchronous Multi-Modal Streams

Xie, Lexing; Kennedy, Lyndon; Chang, Shih-Fu; Divakaran, Ajay; Sun, Huifang; Lin, Ching-Yung

Description

We propose a layered dynamic mixture model for asynchronous multi-modal fusion for unsupervised pattern discovery in video. The lower layer of the model uses generative temporal structures such as a hierarchical hidden Markov model to convert the audiovisual streams into mid-level labels, it also models the correlations in text with probabilistic latent semantic analysis. The upper layer fuses the statistical evidence across diverse modalities with a flexible meta-mixture model that assumes...[Show more]

CollectionsANU Research Publications
Date published: 2005
Type: Conference paper
URI: http://hdl.handle.net/1885/58109
Source: Proceedings of ICCASP 2005
DOI: 10.1109/ICASSP.2005.1415589

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