Bandwidth adaptive image communication via similarity based auto-selection

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In image acquisition and communication systems on small or micro platforms, such as small satellite or unmanned aerial vehicle platforms, the imaging system can generate huge amount of image data while communication system can only deliver a very small part of them due to the limited communication bandwidth. In this paper, a novel bandwidth adaptive image communication strategy via similarity based auto-selection is designed to select a certain number of most informative images acquired by the imaging system for transmission, where the number of selected images is adaptive to the communication bandwidth. Specifically, the image that is more distinguishing to previously transmitted images measured by the similarity, instead of the instantly acquired image, is selected. Experimental results on simulated image sequence has demonstrated the effectiveness of the proposed bandwidth adaptive image communication algorithm.

Original languageEnglish
Title of host publicationCommunications and Networking - 12th International Conference, ChinaCom 2017, Proceedings
EditorsDeze Zeng, Lei Shu, Bo Li
PublisherSpringer Verlag
Pages372-380
Number of pages9
ISBN (Print)9783319781297
DOIs
StatePublished - 2018
Event12th International Conference on Communications and Networking in China, CHINACOM 2017 - Xian, China
Duration: 10 Oct 201712 Oct 2017

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume236
ISSN (Print)1867-8211

Conference

Conference12th International Conference on Communications and Networking in China, CHINACOM 2017
Country/TerritoryChina
CityXian
Period10/10/1712/10/17

Keywords

  • Bandwidth adaptive
  • Bandwidth adaptive
  • Image acquisition
  • Image communication

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