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  • 标题:ENTROPY CORRELATION COEFFICIENT TECHNIQUE FOR VISUAL DATA IN MULTIMEDIA SENSOR NETWORK
  • 本地全文:下载
  • 作者:SUBHASH S ; GURURAJ H L ; RAMESH B
  • 期刊名称:Indian Journal of Computer Science and Engineering
  • 印刷版ISSN:2231-3850
  • 电子版ISSN:0976-5166
  • 出版年度:2016
  • 卷号:7
  • 期号:4
  • 页码:133-140
  • 出版社:Engg Journals Publications
  • 摘要:The nodes are interconnected in Wireless multimedia sensor networks (WMSNs) in theform of wireless mode. These interconnected devices transmit their locally processed data to the sink.With the availability of low cost CMOS cameras, WMSN’s consists of camera at the sensor node in visualinformation application. These camera sensor devices capture their observations limited by the Field ofView (FoV) as an image. The observed image is then sent to the sink. Large numbers of cameras aredeployed in WMSN in order to cover the whole scene of the WMSN field. Part of the area in WMSN fieldis defined as the area of interest which may be required by any example application. Depending on theapplication required, the cameras covering that area are selected to send their observations to the sink.Since the WMSN field consists of cameras densely deployed, there exists correlation among theirobserved images.
  • 关键词:source image entropy; mutual Information; joint entropy; ECC; SIFT.
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