ROI-centered compression by adaptive quantization for sports video

Author

Kim, Jong-Yun ; Yi, Chun-Ho ; Kim, Tae Yong

Author_Institution

Adv. Imaging Eng., Chung-Ang Univ., Seoul, South Korea

Volume

56

Issue

2

fYear

2010

fDate

5/1/2010 12:00:00 AM

Firstpage

951

Lastpage

956

Abstract

In this paper, we propose a region of interest (ROI)-centered compression technique by adaptive quantization for sports videos. The loss of visual detail in an ROI in a broadcast soccer video is solved as seen in DMB (Digital Multimedia Broadcasting) through the mobile device. For tracking an ROI, in a soccer video, we track ball and player candidates using the Dynamic Kalman Filter (DKF) and send information of ROI macro-blocks (MBs) determined by tracking results to an encoder. The encoder allocates quantization step size (Qp) to ROI and non-ROI MBs based on priority and controls bit-rate using proposed rate-control (RC) algorithm. Experiment results show the proposed method increased visual detail in the ROI while maintaining a similar bit rate with the uniform quantization method

Keywords

Bit rate; Digital multimedia broadcasting; Digital video broadcasting; Displays; Games; Multimedia communication; Quantization; Streaming media; Video compression; Video sharing; Kalman filter, ball tracking, R-Q curve prediction, bit rate control;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/TCE.2010.5506025

Filename

5506025