@article{li2005minmax,
abstract = {The need for video summarization originates primarily from a viewing time 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. In this paper, our work is based on a MINMAX optimization formulation with viewing time, frame skip and bit rate constraints. New metrics for missing frame and video summary distortions are introduced. Optimal algorithm based on dynamic programming is presented along with experimental results. {\textcopyright} 2005 IEEE.},
author = {{Zhu Li} and Schuster, G.M. Guido M. and Katsaggelos, Aggelos K. A.K. and Li, Zhu and Schuster, G.M. Guido M. and Katsaggelos, Aggelos K. A.K.},
chapter = {1245},
doi = {10.1109/TCSVT.2005.854230},
isbn = {1051-8215},
issn = {1051-8215},
journal = {IEEE Transactions on Circuits and Systems for Video Technology},
keywords = {Dynamic programming,Rate-distortion optimization,Video analysis,Video summarization},
month = {oct},
number = {10},
pages = {1245--1256},
publisher = {IEEE},
title = {{MINMAX optimal video summarization}},
url = {http://ieeexplore.ieee.org/document/1512242/},
volume = {15},
year = {2005}
}

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