@inproceedings{li2004optimal,
abstract = {The need for video summarization originates primarily from a viewing time or a bit budget constraint. A shorter version of the original video sequence is desirable in a number of applications. Clearly, a shorter version is also necessary in applications where storage, communication bandwidth and/or power are limited, which translates into a bit budget constraint. Our work is based on a bit rate-summary distortion optimization formulation. New metrics for video summary distortion are introduced. An optimal algorithm based on Lagrangian relaxation and dynamic programming is presented. {\textcopyright} 2004 IEEE.},
author = {{Zhu Li} and Schuster, G.M. and Katsaggelos, A.K. and Gandhi, Bhavan and Li, Zhu and Schuster, Z M and Katsaggelos, L K and Gandhi, Bhavan},
booktitle = {2004 International Conference on Image Processing, 2004. ICIP'04.},
doi = {10.1109/ICIP.2004.1418830},
isbn = {0-7803-8554-3},
issn = {15224880},
organization = {IEEE},
pages = {617--620},
publisher = {IEEE},
title = {{Optimal video summarization with a bit budget constraint}},
url = {http://ieeexplore.ieee.org/document/1418830/},
volume = {1},
year = {2004}
}

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