NDLI: An object segmentation method for the color slow-motion videos based on adjacent frames gradual change

Content Provider	Springer Nature Link
Author	Liu, Bin Li, Haojie Jia, Xianyong Zhang, Hui Huang, Rui Liu, Zhaoliang Zhao, Xu
Copyright Year	2014
Abstract	Along with the high-speed cameras are more and more widely applied, how to automatically segment the region of interest in the slow-motion video is a new issue. In this paper, a color slow-motion video segmentation method is proposed. The main strategy is based on region growing and pixel color difference. A rapid color similarity computing method is improved and applied for classifying different pixels. An algorithm based on four directions corrosion is proposed to automatically extract the seed points for the serialized video frames. Utilizing this method, the color frames of the slow-motion videos can be segmented in series automatically. Also, the multithreading mode of parallel computing is introduced in the entire segmentation process. This method is not complicated but automatic. The regions of interest in the slow-motion video frames can be segmented clearly. This novel method can provide support to the video related applications.
Starting Page	7285
Ending Page	7329
Page Count	45
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	74
Issue Number	17
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2014-05-16
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Slow-motion video Color image segmentation Color similarity Parallel computing Multimedia Information Systems Computer Communication Networks Data Structures, Cryptology and Information Theory Special Purpose and Application-Based Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

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