Non-parametric Model for Background Subtraction
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
A Fast Background Scene Modeling and Maintenance for Outdoor Surveillance
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Object-Based Video Coding Using Pixel State Analysis
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
A compressive sensing approach to object-based surveillance video coding
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Learning a scene background model via classification
IEEE Transactions on Signal Processing
Image information and visual quality
IEEE Transactions on Image Processing
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Complexity of optimized H.26L video decoder implementation
IEEE Transactions on Circuits and Systems for Video Technology
Fast intermode decision in H.264/AVC video coding
IEEE Transactions on Circuits and Systems for Video Technology
Fast Coding Mode Selection With Rate-Distortion Optimization for MPEG-4 Part-10 AVC/H.264
IEEE Transactions on Circuits and Systems for Video Technology
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As a state-of-the-art video compression technique, H.264/AVC has been deployed in many surveillance cameras to improve the compression efficiency. However, it induces very high coding complexity, and thus high power consumption. In this paper, a difference detection algorithm is proposed to reduce the computational complexity and power consumption in surveillance video compression by automatically distributing the video data to different modules of the video encoder according to their content similarity features. Without any requirement in changing the encoder hardware, the proposed algorithm provides high adaptability to be integrated into the existing H.264 video encoders. An average of over 82% of overall encoding complexity can be reduced regardless of whether or not the H.264 encoder itself has employed fast algorithms. No loss is observed in both subjective and objective video quality.