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2001

Temporal Events in All Dimensions and Scales

11 years 3 months ago
Temporal Events in All Dimensions and Scales
This paper describes a new representation for the audio and visual information in a video signal. We reduce the dimensionality of the signals with singular-value decompositions (SVD) or mel-frequency cepstral coefficients (MFCC). We apply these transforms to word, (word transcript, semantic space or latent semantic indexing), image (color histogram data) and audio (timbre) data. Using scale-space techniques we find large jumps in a video's path, which are evidence for events. We use these techniques to analyze the temporal properties of the audio and image data in a video. This analysis creates a hierarchical segmentation of the video, or a table-of-contents, from both audio and the image data.
Malcolm Slaney, Dulce B. Ponceleon, James Kaufman
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where EVENT
Authors Malcolm Slaney, Dulce B. Ponceleon, James Kaufman
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