Wavelet-based video indexing and querying |
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Authors: | Xiaodong Wen Theodore D Huffmire Helen H Hu Adam Finkelstein |
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Affiliation: | (1) Princeton University, Department of Computer Science, Princeton, NJ 08544, USA , US |
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Abstract: | We present several algorithms suitable for analysis of broadcast video. First, we show how wavelet analysis of frames of
video can be used to detect transitions between shots in a video stream, thereby dividing the stream into segments. Next we
describe how each segment can be inserted into a video database using an indexing scheme that involves a wavelet-based “signature.”
Finally, we show that during a subsequent broadcast of a similar or identical video clip, the segment can be found in the
database by quickly searching for the relevant signature. The method is robust against noise and typical variations in the
video stream, even global changes in brightness that can fool histogram-based techniques. In the paper, we compare experimentally
our shot transition mechanism to a color histogram implementation, and also evaluate the effectiveness of our database-searching
scheme. Our algorithms are very efficient and run in realtime on a desktop computer. We describe how this technology could
be employed to construct a “smart VCR” that was capable of alerting the viewer to the beginning of a specific program or identifying |
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Keywords: | :Video database – Video indexing – Content-based retrieval – Shot transition – Wavelet transform |
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