A Novel Hierarchical Coding Progressive Transmission Method for WMSN Wildlife Images

Sensors
Wenzhao FengHao Yan

Abstract

In the wild, wireless multimedia sensor network (WMSN) communication has limited bandwidth and the transmission of wildlife monitoring images always suffers signal interference, which is time-consuming, or sometimes even causes failure. Generally, only part of each wildlife image is valuable, therefore, if we could transmit the images according to the importance of the content, the above issues can be avoided. Inspired by the progressive transmission strategy, we propose a hierarchical coding progressive transmission method in this paper, which can transmit the saliency object region (i.e. the animal) and its background with different coding strategies and priorities. Specifically, we firstly construct a convolution neural network via the MobileNet model for the detection of the saliency object region and obtaining the mask on wildlife. Then, according to the importance of wavelet coefficients, set partitioned in hierarchical tree (SPIHT) lossless coding is utilized to transmit the saliency image which ensures the transmission accuracy of the wildlife region. After that, the background region left over is transmitted via the Embedded Zerotree Wavelets (EZW) lossy coding strategy, to improve the transmission efficiency. To verif...Continue Reading

References

Jan 19, 2010·Vision Research·Lior Elazary, Laurent Itti
Apr 15, 2014·Sensors·Antonio Fernández-CaballeroJuan Serrano-Cuerda
Jul 12, 2018·IEEE Transactions on Pattern Analysis and Machine Intelligence·Qibin HouPhilip H S Torr

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