International Journal of Advanced Robotic Systems | |
Efficient Data Reduction Techniques for Remote Applications of a Wireless Visual Sensor Network | |
关键词: Image Coding; Change Coding; ROI Coding; Energy Consumption; Visual Sensor Node; Image Header; Wireless Visual Sensor Network; | |
DOI : 10.5772/55996 | |
学科分类:自动化工程 | |
来源: InTech | |
【 摘 要 】
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 dat...
【 授权许可】
CC BY
【 预 览 】
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RO201902184989414ZK.pdf | 590KB | download |