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DOI:
Journal of Software:2006.17(9):2013-2028

多媒体传感器网络及其研究进展
马华东,陶丹
(北京邮电大学,计算机学院,智能通信软件与多媒体北京市重点实验室,北京,100876)
Multimedia Sensor Network and Its Research Progresses
MA Hua-Dong,TAO Dan
()
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Received:August 04, 2006    Revised:August 08, 2006
> 中文摘要: 作为一种全新的信息获取和处理技术,多媒体传感器网络较之传统传感器网络更多地关注于音频、视频、图像等大数据量、大信息量媒体的采集与处理,在军事、民用及商业领域中具有广阔的应用前景.介绍了多媒体传感器网络的概念与特点,着重探讨了多媒体传感器网络所面临的挑战与国内外的研究进展,最后分析了当前亟待解决的问题,并展望了其未来的发展趋势.多媒体传感器网络是一种新的概念系统但也存在较多的问题需要解决,其研究具有很强的理论意义和实用价值.
Abstract:As a novel information acquiring and processing technology, compared to other traditional sensor networks, multimedia sensor networks pay more attention to the information-intensive data (e.g. audio, video, image). Potential applications of multimedia sensor networks span a wide spectrum from military to industrial, from commercial to environmental monitoring. This paper introduces the concept and characteristics of multimedia sensor networks, and discusses the technical challenges in this field. In particular, this paper summarizes the current research progresses. Finally, the open research problems are also pointed out. Multimedia sensor networks discussed in this paper is a novel conceptual system; and many issues need to be solved. The research on this topic is with great theoretical and practical value.
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基金项目:Supported by the National Natural Science Foundation of China under Grant No.90612013 (国家自然科学基金); the Specialized Research Fund of China for the Doctoral Program of Higher Education under Grant No.20050013010 (高等学校博士点基金); the NCET of MOE, China (国家教育部新世纪人才支持计划); the Beijing Natural Science Found under Grant No.4062024 (北京市自然科学基金) Supported by the National Natural Science Foundation of China under Grant No.90612013 (国家自然科学基金); the Specialized Research Fund of China for the Doctoral Program of Higher Education under Grant No.20050013010 (高等学校博士点基金); the NCET of MOE, China (国家教育部新世纪人才支持计划); the Beijing Natural Science Found under Grant No.4062024 (北京市自然科学基金)
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马华东,陶丹.多媒体传感器网络及其研究进展.软件学报,2006,17(9):2013-2028

MA Hua-Dong,TAO Dan.Multimedia Sensor Network and Its Research Progresses.Journal of Software,2006,17(9):2013-2028