A Progressive Background Updating Based Coding Scheme for Surveillance Videos Background based coding is an effective scheme to improve the coding efficiency of surveillance videos. However, it takes a long time to generate a high quality background picture (BGpicture). And the encoding of the high quality BGpicture will increase the bitrate abruptly. To solve these problems, a progressive background updating based coding scheme is proposed in this paper. In the proposed scheme, the BGpicture is updated block by block. To improve the overall coding efficiency, an importance map is designed to select the valid background blocks (Bblocks) progressively which will be encoded with high quality. It is worth noting that only the valid Bblocks is encoded instead of the entire BGpicture. Compared with the reference software of Versatile Video Coding (VVC), the proposed scheme achieves about 23.3 percent bitrate saving on average.

An Efficient Coding Scheme for Surveillance Videos Captured by Stationary Cameras In this paper, a new scheme is presented to improve the coding efficiency of sequences captured by stationary cameras (or namely, static cameras) for video surveillance applications. We introduce two novel kinds of frames (namely background frame and difference frame) for input frames to represent the foregroundbackground without object detection, tracking or segmentation. The background frame is built using a background modeling procedure and periodically updated while encoding. The difference frame is calculated using the input frame and the background frame. A sequence structure is proposed to generate high quality background frames and efficiently code difference frames without delay, and then surveillance videos can be easily compressed by encoding the background frames and difference frames in a traditional manner. In practice, the H.264AVC encoder JM 16.0 is employed as a buildin coding module to encode those frames. Experimental results on eight indoor and outdoor surveillance videos show that the proposed scheme achieves 0.12 dB1.53 dB gain in PSNR over the JM 16.0 anchor specially configured for surveillance videos.