This document discusses techniques for improving video compression efficiency for surveillance videos. It proposes modifying the architecture of scalable video coding to make it surveillance-centric by allowing adaptive rate-distortion optimization at the GOP level based on whether events of interest are present. Experimental results show foreground detection and updating of background adaptively over time to improve compression. Future work includes further enhancing selective motion estimation techniques to improve processing efficiency without degrading video quality.