Reconstructing the Plenoptic function from wireless multimedia sensor networks

2008 33rd IEEE Conference on Local Computer Networks (LCN) Pub Date : 2008-10-31 DOI:10.1109/LCN.2008.4664154

A. Boukerche, Jingwen Feng, R. Pazzi, Yan Du, Ying Huang

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引用次数: 7

Abstract

The development of low-cost image/video sensors has enabled wireless multimedia sensor networks (WMSN). Equipped with the ability to collect images/video streams from surrounding environments, many interesting applications will emerge through the use of WMSN. One of the key targets of a WMSN application is reconstructing the Plenoptic function by using collected images. However, due to the characteristics of wireless channels, this task is challenging. In this paper, a reliable transport protocol for WMSN is presented. This protocol utilizes JPEG stream semantics to distinguish the importance of different parts within the stream, and schedules the transmission based on the importance of the information. In order to investigate the performance of the proposed protocol, a novel image mosaicking algorithm is used as a sample WMSN application. The experimental results show that the proposed protocol and application can offer snapshots of the interested environment with larger field-of-view (FOV) and with little delay. The quality of the view can be improved gradually with the arrival of the data representing the higher frequency part of the images.

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基于无线多媒体传感器网络的全光学函数重构

低成本图像/视频传感器的发展使无线多媒体传感器网络(WMSN)成为可能。由于具备从周围环境收集图像/视频流的能力，许多有趣的应用程序将通过使用WMSN出现。利用采集到的图像重构Plenoptic函数是WMSN应用的关键目标之一。然而，由于无线信道的特性，这一任务具有挑战性。本文提出了一种可靠的WMSN传输协议。该协议利用JPEG流语义来区分流中不同部分的重要性，并根据信息的重要性来调度传输。为了研究该协议的性能，本文以一种新的图像拼接算法作为WMSN的应用实例。实验结果表明，所提出的协议和应用程序能够以更大的视场(FOV)和更小的延迟提供感兴趣环境的快照。随着代表图像高频部分的数据的到来，视图的质量可以逐步提高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2008 33rd IEEE Conference on Local Computer Networks (LCN)

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