This special issue of the Computer Vision and Image Understanding (CVIU) offers a venue to present innovative approaches in video analysis, which have been changing our everyday life dramatically over the last few years. Below we present the origin of this issue and then give an overview of the papers included.rnWith the explosive growth of video data, video analysis techniques have become more and more important in the field of computer vision and image understanding and other related areas. Video analysis techniques have great potential applications in multimedia, human computer interface, surveillance, copyright protection, and so on. The challenges that exist in video analysis research include motion analysis, video semantic understanding, and abnormal event detection. Many of these challenges can be addressed through the theories of pattern recognition and artificial intelligence. For example, the Markov chain Monte Carlo sampling has been successfully applied for video tracking and motion analysis; techniques such as support vector machines and boosting in machine learning have been widely used for video classification and retrieval; graph-based statistical learning techniques have achieved success in moving object segmentation and video clustering; and the semi-supervised learning methods have found much application in image and video editing.
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