ROI-centered compression by adaptive quantization for sports video

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, i...

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Published inIEEE 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
LanguageEnglish
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
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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.
AbstractList 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.
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
Author Kim, Jong-Yun
Kim, Tae Yong
Yi, Chun-Ho
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SubjectTerms 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
Title ROI-centered compression by adaptive quantization for sports video
URI https://ieeexplore.ieee.org/document/5506025
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