Surveillance video coding with quadtree partition based ROI extraction

To reduce the surveillance video coding cost, it is intuitive to encode surveillance videos by dealing with the foreground objects and the background separately. One widely used method following this strategy is Region-of-Interest (ROI) based coding. To achieve significant improvement for the coding efficiency of ROI based methods, this paper presents a surveillance video coding method with High Efficiency Video Coding (HEVC) quadtree partition based ROI extraction. With automatically generated foreground mask and modeled background frame, a ROI extraction following the block partition in HEVC´s quadtree structure is firstly performed. Afterwards, surveillance videos can be compressed by coding two-layer videos. One is the ROI-layer video generated by merging ROIs and background data in each frame together. The other is the background-layer video produced by subtracting the ROIs from the original input video. Results show our method can achieve remarkable total bit-rate saving and significant bit-rate cost reduction on ROIs.