一种“时-空”域自动视频分割算法

A Spatiotemporal Algorithm for Automatic Video Segmentation

为了进行基于对象的视频编码,视频图像往往需要被分割成单独的个体.提出了一种从时域到空域的自动视频分割算法.在时间域阶段,通过对相邻两帧变化部分的检测,找到运动目标的初步定位.在空间域阶段,采用预测分水岭算法对运动目标进行精确定位.两种方法互相补充,互相增强.另外为了解决分水岭的过分割问题,算法在小波变换后的图像上进行.实验结果表明,提出的方法不仅分割效果好,而且计算时间少,分割的结果具有更准确的语义信息和实用性.

To implement the object-based video coding, a video sequence is needed to segment it into several individual objects. A spatiotemporal algorithm is therefore presented for automatic video segmentation. In the temporal state a preliminary segmentation is done through detecting the difference between two successive frames to locate the moving object in rough, while in the spatial state the predictable watershed algorithm is used to accelerate the conventional one and make the temporal segmentation result more exact. The two results in both temporal and spatial states are complementary to each other to benefit the automatic video segmentation. Furthermore, the whole segmentation process is performed on the images after wavelet transform to avoid oversegmenting. Experimental results showed that the proposed method provides not only the better segmentation quality but also the low computational cost especially the more exact and practical semantic information.