TY - GEN
T1 - Optimal video summarization with a bit budget constraint
AU - Li, Zhu
AU - Schuster, Guido M.
AU - Katsaggelos, Aggelos K
AU - Gandhi, Bhavan
PY - 2004/12/1
Y1 - 2004/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=20444468537&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=20444468537&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2004.1418830
DO - 10.1109/ICIP.2004.1418830
M3 - Conference contribution
AN - SCOPUS:20444468537
SN - 0780385543
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 617
EP - 620
BT - 2004 International Conference on Image Processing, ICIP 2004
T2 - 2004 International Conference on Image Processing, ICIP 2004
Y2 - 24 October 2004 through 27 October 2004
ER -