1999
@article{YuW1999,
vgclass = {refpap},
vgproject = {cbir},
author = {Hong Heather Yu and Wayne Wolf},
title = {A Hierarchical Multiresolution Video Shot Transition
Detection Scheme},
journal = {Computer Vision and Image Understanding (special issue on content-based access for image
and video libraries)},
volume = {75},
number = {1/2},
pages = {196--213},
month = {July/August},
year = {1999},
abstract = {The problem of digital video segmentation occurs in many
different applications. It is the first step toward automatic video
indexing, automatic video editing, perceptual coding, etc. We developed
a hierarchical multiresolution shot transition detection scheme which
takes advantage of the production aspect of video for high precision
shot transition detection. New features are proposed to capture the
changing statistics of different kinds of shot transitions so as to
identify, not only abrupt shot transitions, but also gradual
transitions accordingly. Identifying complex transitions-dissolves and
wipes-is important due to their use as visual cues to story structure
in narrative film. In this paper, a two-pass algorithm, collection and
verification, is proposed to study dissolve and wipe transition
detection problems, the most difficult shot transition detection
problems. Wavelet transformation is utilized for image multiresolution
decomposition. Experiment results show that our methodology has much
higher precision compared to conventional algorithms.},
}