NARS: Network Bandwidth Adaptive Scalable Real-Time Streaming for Smart Ubiquitous Middleware
- Authors
- Ahn, Sung-Won; Jung, Hae-Sun; Yoo, Chuck; Lee, Yong-Woo
- Issue Date
- 3월-2013
- Publisher
- LIBRARY & INFORMATION CENTER, NAT DONG HWA UNIV
- Keywords
- Network channel condition; Adaptive quantization step; Real-Time streaming; Smart middleware; Ubiquitous computing
- Citation
- JOURNAL OF INTERNET TECHNOLOGY, v.14, no.2, pp.217 - 230
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF INTERNET TECHNOLOGY
- Volume
- 14
- Number
- 2
- Start Page
- 217
- End Page
- 230
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/103831
- DOI
- 10.6138/JIT.2013.14.2.05
- ISSN
- 1607-9264
- Abstract
- In ubiquitous environments, the exchange of different types of real-time video data can be extremely useful under various circumstances, particularly during disasters. For instance, in the wake of a catastrophe, it would be extremely important to assure real-time transmission of video data of escape routes, nearby regions of safety, and the locations of survivors. To assure real-time transmission of video, it is necessary to ensure stable bandwidth streaming and to minimize data loss. In most cases, real-time streaming is more sensitive to delays between frames rather than to errors that affect the quality of one frame. One possible approach for ensuring low-delay, real-time streaming is to control the quantization parameter value according to network channel conditions. In this paper, we describe such an approach for a continuous real-time streaming system for smart ubiquitous middleware (SmartUM), called network bandwidth adaptive scalable real-time video streaming (NARS). NARS is an integrated video data management system for the ubiquitous-city environment. It ensures continuity of real-time video streaming as well as scalability of transmission by supporting various user devices. This system can be applied to various ubiquitous systems.
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Collections - Graduate School > Department of Computer Science and Engineering > 1. Journal Articles
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