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Title: Macroblock classification method for video applications involving motions
Authors: Lin, Weiyao
Sun, Ming-Ting
Li, Hongxiang
Chen, Zhenzhong
Li, Wei
Zhou, Bing
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2011
Source: Lin, W., Sun, M. T., Li, H., Chen, Z., Li, W., & Zhou, B. (2012). Macroblock classification method for video applications involving motions. IEEE transactions on broadcasting, 58(1), 34-46.
Series/Report no.: IEEE transactions on broadcasting
Abstract: In this paper, a macroblock classification method is proposed for various video processing applications involving motions. Based on the analysis of the Motion Vector field in the compressed video, we propose to classify Macroblocks of each video frame into different classes and use this class information to describe the frame content. We demonstrate that this low-computation-complexity method can efficiently catch the characteristics of the frame. Based on the proposed macroblock classification, we further propose algorithms for different video processing applications, including shot change detection, motion discontinuity detection, and outlier rejection for global motion estimation. Experimental results demonstrate that the methods based on the proposed approach can work effectively on these applications.
DOI: 10.1109/TBC.2011.2170611
Fulltext Permission: none
Fulltext Availability: No Fulltext
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