NDLI: P2P Multimedia Streaming Schedule for Maximum Network Capacity

Content Provider	IEEE Xplore Digital Library
Author	Chin-Feng Lai Yi-Wei Ma Chia-Cheng Hu Yueh-Min Huang
Copyright Year	2009
Abstract	Performing image preprocessing for specific targets, e.g., foreground (FG) segmentation and feature extraction, on the scale of databases is challenging. For volume image FG segmentation, we proposed to utilize dual multi-scale gray-level Morphological open/close by reconstruction to simulate background (BG) gray-level variational mesh to identify FG regions. It is developed from a global perspective on image FG/BG gray-levels and is carried out with regular operations. To evaluate FG segmentation performance, the probability of coherent segmentation labeling, normalized probability random index, with ground-truth ones is computed for comparisons. For assessing the segmentation capability in dealing with volume images, content-based image retrieval is carried out for performance evaluations. Experiments showed that the proposed FG segmentation method outperforms previous ones with 21% PRI improvement and also improves the retrieval precision-recall performance up to 31%.
Starting Page	1228
Ending Page	1231
File Size	379057
Page Count	4
File Format	PDF
ISBN	9781424447176
DOI	10.1109/IIH-MSP.2009.296
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-12
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video on demand P2P Network servers Intelligent networks Network topology Space technology Bandwidth Schedule Streaming media Signal processing Internet Network Capacity Web server
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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