dc.contributor.authorLin, Weiyao
dc.contributor.authorSun, Ming-Ting
dc.contributor.authorLi, Hongxiang
dc.contributor.authorChen, Zhenzhong
dc.contributor.authorLi, Wei
dc.contributor.authorZhou, Bing
dc.date.accessioned2013-10-10T08:35:31Z
dc.date.available2013-10-10T08:35:31Z
dc.date.copyright2011en_US
dc.date.issued2011
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.
dc.identifier.urihttp://hdl.handle.net/10220/16438
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_US
dc.language.isoenen_US
dc.relation.ispartofseriesIEEE transactions on broadcastingen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
dc.titleMacroblock classification method for video applications involving motionsen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1109/TBC.2011.2170611


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