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dc.contributor.authorLin, Weiyaoen
dc.contributor.authorSun, Ming-Tingen
dc.contributor.authorLi, Hongxiangen
dc.contributor.authorChen, Zhenzhongen
dc.contributor.authorLi, Weien
dc.contributor.authorZhou, Bingen
dc.identifier.citationLin, 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.en
dc.description.abstractIn 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.en
dc.relation.ispartofseriesIEEE transactions on broadcastingen
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer visionen
dc.titleMacroblock classification method for video applications involving motionsen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
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