DocumentCode
3543497
Title
ROI centered compression by Adaptive Quantization for sports video
Author
Kim, Jong-Yun ; Yi, Chun-Ho ; Kim, Tae-Yong
Author_Institution
GSAIM, Chung-Ang Univ., Seoul, South Korea
fYear
2010
fDate
9-13 Jan. 2010
Firstpage
235
Lastpage
236
Abstract
In this paper, we propose a region of interest (ROI) centered compression method for sports video. First we track a center of ROI using dynamic Kalman filter (DKF) algorithm that we proposed previously, determine ROI macro blocks (MBs) and finally quantize each MB adaptively with rate control. Experimental results show that our proposed algorithm presents increased clearness in the ROI than uniform quantization methods while maintaining stable bit-rate.
Keywords
Kalman filters; data compression; sport; video coding; ROI macro blocks; adaptive quantization; dynamic Kalman filter algorithm; region of interest centered compression method; sports video; Digital multimedia broadcasting; Discrete cosine transforms; Games; Measurement errors; Object detection; Quantization; Robustness; Target tracking; Video compression; Watches;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (ICCE), 2010 Digest of Technical Papers International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4244-4314-7
Electronic_ISBN
978-1-4244-4316-1
Type
conf
DOI
10.1109/ICCE.2010.5418804
Filename
5418804
Link To Document