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Volume: 29 | Article ID: art00008
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Unsupervised Video Segmentation and Its Application to Regionbased Local Contrast Enhancement
  DOI :  10.2352/ISSN.2470-1173.2017.9.IRIACV-267  Published OnlineJanuary 2017
Abstract

In this paper, we propose a simple but efficient video segmentation scheme for real-time video applications. First, we temporally separate video frames into scenes, comparing the chisquare distance between consecutive frames. To partition each frame into disjoint regions, then, a pixel-wise color clustering scheme is employed, which is based on K-means clustering and EM algorithm. Finally, we regularize computational complexity to apply the proposed scheme into embedded video processing system. Due to pixel-wise video segmentation with very low complexity, the proposed scheme yields a realistic framework for real-time video applications.

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Sungbum Park, Woosung Shim, Yong Seok Heo, "Unsupervised Video Segmentation and Its Application to Regionbased Local Contrast Enhancementin Proc. IS&T Int’l. Symp. on Electronic Imaging: Intelligent Robotics and Industrial Applications using Computer Vision,  2017,  pp 46 - 51,  https://doi.org/10.2352/ISSN.2470-1173.2017.9.IRIACV-267

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Copyright © Society for Imaging Science and Technology 2017
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Electronic Imaging
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