Enabling low bit-rate and reliable video surveillance over practical wireless sensor network

被引:19
|
作者
Chen, Min [1 ]
Gonzalez, Sergio [2 ]
Cao, Huasong [2 ]
Zhang, Yan [3 ,4 ]
Vuong, Son T. [5 ]
机构
[1] Seoul Natl Univ, Sch Comp Sci & Eng, Seoul, South Korea
[2] Univ British Columbia, Dept Elect & Comp Eng, Vancouver, BC V5Z 1M9, Canada
[3] Simula Res Lab, Lysaker, Norway
[4] Univ Oslo, IFI, Oslo, Norway
[5] Univ British Columbia, Dept Comp Sci, Vancouver, BC V6T 1W5, Canada
来源
JOURNAL OF SUPERCOMPUTING | 2013年 / 65卷 / 01期
关键词
Sensor Node; Wireless Sensor Network; Packet Loss; Sink Node; Video Surveillance;
D O I
10.1007/s11227-010-0475-2
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
With the rapid development of hardware and embedded systems, wireless sensor networks (WSNs) are being developed for surveillance applications. While meriting more in-depth research and development, deploying a practical WSN for surveillance is challenging due to the limited power and bandwidth of the battery-operated sensor nodes. In this paper, we first propose an energy-efficient image transportation strategy through motion detection. In case of data delivery over long distance, this paper further investigates the use of cooperative communications to design a reliable image transmission scheme over WSN, and demonstrates its effectiveness in improving network reliability in wireless multimedia sensor networks.
引用
收藏
页码:287 / 300
页数:14
相关论文
共 50 条
  • [41] Robust motion estimation in video coding at low bit-rate
    Wang, H
    2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS, INTELLIGENT SYSTEMS AND SIGNAL PROCESSING, VOLS 1 AND 2, PROCEEDINGS, 2003, : 794 - 798
  • [42] Buffer control algorithm for low bit-rate video compression
    Ng, KT
    Chan, SC
    Ng, TS
    INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, PROCEEDINGS - VOL I, 1996, : 685 - 688
  • [43] An bit allocation optimization algorithm for low bit-rate video coding in perceptual
    Zhou, JL
    Yuan, SQ
    Yu, SS
    1998 5TH INTERNATIONAL CONFERENCE ON SOLID-STATE AND INTEGRATED CIRCUIT TECHNOLOGY PROCEEDINGS, 1998, : 520 - 523
  • [44] ADAPTIVE POSTPROCESSING ALGORITHMS FOR LOW BIT-RATE VIDEO SIGNALS
    LIU, TS
    JAYANT, N
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 1995, 4 (07) : 1032 - 1035
  • [45] A VARIABLE RESOLUTION VIDEO CODEC FOR LOW BIT-RATE APPLICATIONS
    CHIARIGLIONE, L
    FONTOLAN, S
    GUGLIELMO, M
    TOMMASI, F
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 1987, 5 (07) : 1184 - 1189
  • [46] Low bit-rate video coding with implicit multiscale segmentation
    Yoon, SC
    Ratakonda, K
    Ahuja, N
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 1999, 9 (07) : 1115 - 1129
  • [47] Low Bit-rate Coding with Asymmetric Resolution for Stereoscopic Video
    Lu, Yu
    Ke, Xiaolin
    Yao, Yingbiao
    Mao, Huafei
    2015 IEEE 16TH INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY (ICCT), 2015, : 274 - 277
  • [48] Frame skipping minimization in low bit-rate video coding
    Motta, G
    Storer, JA
    Carpentieri, B
    2005 IEEE WORKSHOP ON SIGNAL PROCESSING SYSTEMS - DESIGN AND IMPLEMENTATION (SIPS), 2005, : 673 - 677
  • [49] Low bit-rate video coding with trellis source codes
    Mello, MA
    Fischer, TR
    DCC '98 - DATA COMPRESSION CONFERENCE, 1998, : 562 - 562
  • [50] Shot detection method for low bit-rate video coding
    Sastre, J
    Castelló, G
    Naranjo, V
    López, JM
    Ferreras, A
    PROCEEDINGS OF THE FIFTH IASTED INTERNATIONAL CONFERENCE ON VISUALIZATION, IMAGING, AND IMAGE PROCESSING, 2005, : 292 - 297