无线多媒体传感器网络中的多媒体传感器节点的功率、计算和存储能力及带宽资源受限，迫切需要低复杂度的视频处理技术对大数据量的视频进行压缩传输。基于来自网络中监控同一目标场景的多种类型传感器的信息，给出了一个新的无线多媒体传感器网络分布式视频处理系统框架；提出了一种基于多类型传感数据融合和多视角的GOP（group of picture）划分方法；在解码端，考虑单一视角视频序列之间较强的时间相关性，产生时间相关的边信息；利用来自多个视频传感节点的视频序列间的空间多视角相关性，产生多视角相关的边信息,并提供两种边

In wireless multimedia sensor networks (WMSN), sensor devices are constrained in terms of power, processing, memory and bandwidth capability. Low complexity video processing technique is highly desired to encode and transmit large numbers of video data. Based on the information from multi modal sensors which monitor the same scene, a new framework of distributed video processing system for WMSN is presented. A group of pictures (GOP) partition algorithm based on multi modal data and multi view is also put forward. In the decoder, considering the temporal correlation between adjacent frames from single view, temporal side information is generated. Multi view side information is acquired by using spatial correlation among the frames from adjacent video sensors. In order to improve the prediction accuracy and reliability, a mechanism to fusion and select two kinds of side information is provided. The validity and advantage of the proposed method are verified through simulations.