Efficient Video Object Segmentation Using JIT K-Means Clustering
Author:
Affiliation:
1. Kasetsart University, Sriracha Campus,Faculty of Science at Sriracha,Department of Computer Science and Information,Chonburi,Thailand
2. KMUTNB,Faculty of Applied Science,Department of Computer and Information Science,Bangkok,Thailand
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10499640/10499641/10499686.pdf?arnumber=10499686
Reference12 articles.
1. Optimization of Hue, Brightness, Luminance, and Saturation Parameters for Video Segmentation Based on Evolutionary Algorithms;Visutsak;ICIC Express Letters - An International Journal of Research and Surveys,2024
2. Video Object Segmentation and Tracking
3. One-Shot Video Object Segmentation
4. SwiftNet: Real-time Video Object Segmentation
5. An efficient 3D CNN for action/object segmentation in video;Hou;arXiv preprint,2019
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1. Efficient Video Object Detection of Indoor Furniture and Home Appliances;2024 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom);2024-06-24
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