A Review of Unsupervised Video Segmentation
نویسنده
چکیده
Video segmentation aims at partitioning consecutive video frames and grouping the spatial-temporal voxels into perceptually coherent regions. Video segmentation has a more general objective than image segmentation because video has temporal information included. There are many plausible video segmentation methods available in this community right now and most video segmentation algorithms are unsupervised since video annotation requires plentiful work of human labor. In our paper, we are going to take a survey on various methods of unsupervised video segmentation and also analyze the metrics that can reasonably evaluate the video segmentation results.
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