W. Wolf. Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on, 2, page 1228-1231 vol. 2. (May 1996)
DOI: 10.1109/ICASSP.1996.543588
Abstract
This paper describes a new algorithm for identifying key frames in shots from video programs. We use optical flow computations to identify local minima of motion in a shot-stillness emphasizes the image for the viewer. This technique allows us to identify both gestures which are emphasized by momentary pauses and camera motion which links together several distinct images in a single shot. Results show that our algorithm can successfully select several key frames from a single complex shot which effectively summarize the shot
Description
IEEE Xplore Abstract - Key frame selection by motion analysis
%0 Conference Paper
%1 543588
%A Wolf, W.
%B Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
%D 1996
%K motion_analysis of_applications
%P 1228-1231 vol. 2
%R 10.1109/ICASSP.1996.543588
%T Key frame selection by motion analysis
%U http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=543588
%V 2
%X This paper describes a new algorithm for identifying key frames in shots from video programs. We use optical flow computations to identify local minima of motion in a shot-stillness emphasizes the image for the viewer. This technique allows us to identify both gestures which are emphasized by momentary pauses and camera motion which links together several distinct images in a single shot. Results show that our algorithm can successfully select several key frames from a single complex shot which effectively summarize the shot
@inproceedings{543588,
abstract = {This paper describes a new algorithm for identifying key frames in shots from video programs. We use optical flow computations to identify local minima of motion in a shot-stillness emphasizes the image for the viewer. This technique allows us to identify both gestures which are emphasized by momentary pauses and camera motion which links together several distinct images in a single shot. Results show that our algorithm can successfully select several key frames from a single complex shot which effectively summarize the shot},
added-at = {2014-10-01T16:04:47.000+0200},
author = {Wolf, W.},
biburl = {https://www.bibsonomy.org/bibtex/228bcd051c230252983b8fbfb72b9867c/alex_ruff},
booktitle = {Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on},
description = {IEEE Xplore Abstract - Key frame selection by motion analysis},
doi = {10.1109/ICASSP.1996.543588},
interhash = {fa12a18d5e5107c63dde4dd99eb9ee49},
intrahash = {28bcd051c230252983b8fbfb72b9867c},
issn = {1520-6149},
keywords = {motion_analysis of_applications},
month = may,
pages = {1228-1231 vol. 2},
timestamp = {2014-10-01T16:09:17.000+0200},
title = {Key frame selection by motion analysis},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=543588},
volume = 2,
year = 1996
}