TR2003-138
Audio/Visual Independent Components
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- , "Audio/Visual Independent Components", International Symposium on Independent Component Analysis and Blind Source Separation (ICA), April 2003, pp. 709-714.BibTeX TR2003-138 PDF
- @inproceedings{Smaragdis2003apr,
- author = {Smaragdis, P. and Casey, M.},
- title = {Audio/Visual Independent Components},
- booktitle = {International Symposium on Independent Component Analysis and Blind Source Separation (ICA)},
- year = 2003,
- pages = {709--714},
- month = apr,
- url = {https://www.merl.com/publications/TR2003-138}
- }
- , "Audio/Visual Independent Components", International Symposium on Independent Component Analysis and Blind Source Separation (ICA), April 2003, pp. 709-714.
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Research Areas:
Abstract:
This paper presents a methodology for extracting meaningful audio/visual features from video streams. We propose a statistical method that does not distinguish between the auditory and visual data, but one that operates on a fused data set. By doing so we discover audio/visual features that correspond to events depicted in the stream. Using these features, we can obtain a segmentation of the input video stream by separating independent auditory and visual events.
Related News & Events
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NEWS ICA 2003: publication by MERL researchers and others Date: April 1, 2003
Where: International Symposium on Independent Component Analysis and Blind Source Separation (ICA)
Research Area: Speech & AudioBrief- The paper "Audio/Visual Independent Components" by Smaragdis, P. and Casey, M. was presented at the International Symposium on Independent Component Analysis and Blind Source Separation (ICA).