TY - GEN
T1 - Model of object-based coding for surveillance video
AU - Yu, Yang
AU - Doermann, David
PY - 2005
Y1 - 2005
N2 - In this paper, we explore the model of potential savings of object-based coding for surveillance video. Moving foreground objects in stationary camera surveillance video are detected by a background subtraction technique [3] and encoded with MPEG-4 object-based coding. Experiment results show that compared with frame-based coding, object-based coding can achieve significant savings which are dependent on the video content. We further model the relationship of compression efficiency and the number and size of video objects using statistical learning method. Simulations show that the model is representative. The model can be used to predict the savings of object-based coding and select the coding methods for surveillance video.
AB - In this paper, we explore the model of potential savings of object-based coding for surveillance video. Moving foreground objects in stationary camera surveillance video are detected by a background subtraction technique [3] and encoded with MPEG-4 object-based coding. Experiment results show that compared with frame-based coding, object-based coding can achieve significant savings which are dependent on the video content. We further model the relationship of compression efficiency and the number and size of video objects using statistical learning method. Simulations show that the model is representative. The model can be used to predict the savings of object-based coding and select the coding methods for surveillance video.
UR - https://www.scopus.com/pages/publications/33646778154
U2 - 10.1109/ICASSP.2005.1415499
DO - 10.1109/ICASSP.2005.1415499
M3 - Conference contribution
AN - SCOPUS:33646778154
SN - 0780388747
SN - 9780780388741
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - II693-II696
BT - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing
T2 - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Y2 - 18 March 2005 through 23 March 2005
ER -