ROI-centered compression by adaptive quantization for sports video

• Published in: IEEE transactions on consumer electronics Vol. 56; no. 2; pp. 951 - 956
• Main Authors: Kim, Jong-Yun, Yi, Chun-Ho, Kim, Tae Yong
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2010; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: ball tracking; Bit rate; bit rate control; Broadcasting; Coders; Compressing; Digital multimedia broadcasting; Digital video broadcasting; Displays; Encoders; Games; Kalman filter; Multimedia communication; Quantization; R-Q curve prediction; Soccer; Streaming media; Tracking; Video compression; Video sharing; Visual
• ISSN: 0098-3063; 1558-4127
• DOI: 10.1109/TCE.2010.5506025

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.