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Efficient Data Reduction Techniques for Remote Applications of a Wireless Visual Sensor Network : Tecniche di riduzione efficiente dei dati per applicazioni remote di un network di sensori visuali wireless, in: International Journal of Advanced Robotic Systems |
Open document
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General information |
| Author |
Khursheed, Khursheed; Imran, Muhammad; Ahmad, Naeem; O’Nils, Mattias |
| Published |
InTech Open Access Publisher, 2013
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| Abstract |
A Wireless Visual Sensor Network (WVSN) is
formed by deploying many Visual Sensor Nodes (VSNs)
in the field. After acquiring an image of the area of
interest, the VSN performs local processing on it and
transmits the result using an embedded wireless
transceiver. Wireless data transmission consumes a great
deal of energy, where energy consumption is mainly
dependent on the amount of information being
transmitted. The image captured by the VSN contains a
huge amount of data. For certain applications,
segmentation can be performed on the captured images.
The amount of information in the segmented images can
be reduced by applying efficient bi‐level image
compression methods. In this way, the communication
energy consumption of each of the VSNs can be reduced.
However, the data reduction capability of bi‐level image
compression standards is fixed and is limited by the used
compression algorithm. For applications attributing few
changes in adjacent frames, change coding can be applied
for further data reduction. Detecting and compressing
only the Regions of Interest (ROIs) in the change frame is
another possibility for further data reduction. In a
communication system, where both the sender and the
receiver know the employed compression standard, there
is a possibility for further data reduction by not including
the header information in the compressed bit stream of
the sender. This paper summarizes different information
reduction techniques such as image coding, change
coding and ROI coding. The main contribution is the
investigation of the combined effect of all these coding
methods and their application to a few representative real
life applications. This paper is intended to be a resource
for researchers interested in techniques for information
reduction in energy constrained embedded applications. |
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International Journal of Advanced Robotic Systems
Author: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Published: 2004
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