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Unsupervised Clustering of Ambulatory Audio and Video
https://www.ee.columbia.edu/~dpwe/papers/ClarkP99-ambu.pdf
ted video or audio [5], suc h as TV [4], mo vies, and video recordings of meetings [3], our goal is to use video to monitor an individual's en vironmen t. Literally, the camera and microphone b ecome an extra set of senses for the user. [1,2] 2.1. Data Collection In order to adequately sample the visual and aural en-vironmen
Unsupervised clustering of ambulatory audio and video ...
https://ieeexplore.ieee.org/abstract/document/757481
Unsupervised clustering of ambulatory audio and video Abstract:A truly personal and reactive computer system should have access to the same information as its user, including the ambient sights and sounds. To this end, we have developed a system for extracting events and scenes from natural audio/visual input.
Unsupervised clustering of ambulatory audio and video ...
https://dl.acm.org/doi/10.1109/ICASSP.1999.757481
Unsupervised clustering of ambulatory audio and video | Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06 Article Unsupervised clustering of ambulatory audio and video Authors: B. Clarkson , A. Pentland Authors Info & Claims
Unsupervised clustering of ambulatory audio and video …
https://citeseerx.ist.psu.edu/showciting?cid=25099&start=20
Recognition of human gestures is important for analysis and indexing of video. To recognize human gestures on video, generally a large number of training examples for each individual gesture must be collected. This is a labor-intensive and error-prone process and is only feasible for a limited set of gestures.
Unsupervised Clustering of Ambulatory Audio and Video …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.422.850
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): A truly personal and reactive computer system should have access to the same information as its user, including the ambient sights and sounds. To this end, we havedeveloped a system for extracting events and scenes from natural audio/visual input. We nd our system can (without any prior labeling of …
Unsupervised Clustering Of Ambulatory Audio And Video (0)
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.53.1015
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): A truly personal and reactive computer system should have access to the same information as its user, including the ambient sights and sounds. To this end, we have developed a system for extracting events and scenes from natural audio/visual input. We find our system can (without any prior labeling of …
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