Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Detecting and Coding Region of Interests in Bi-Level Images for Data Reduction in Wireless Visual Sensor Network
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.ORCID iD: 0000-0002-6484-9260
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (STC)ORCID iD: 0000-0003-1923-3843
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (STC)
2012 (English)In: Wireless and Mobile Computing, Networking and Communications (WiMob), 2012 IEEE 8th International Conference on, IEEE conference proceedings, 2012, 705-712 p.Conference paper, Published paper (Refereed)
Abstract [en]

Wireless Visual Sensor Network (WVSN) is formed by deploying many Visual Sensor Nodes (VSNs) in the field. The VSNs acquire images of the area of interest in the field, perform some local processing on these images and transmit the results using an embedded wireless transceiver. The energy consumption on transmitting the results wirelessly is correlated with the information amount that is being transmitted.  The images acquired by the VSNs contain huge amount of data due to many kinds of redundancies in the images. Suitable bi-level image compression standards can efficiently reduce the information amount in images and will thus be effective in reducing the communication energy consumption in the WVSN. But compression capability of the bi-level image compression standards is limited to the underline compression algorithm. Further data reduction can be achieved by detecting Region of Interest (ROI) in the bi-level images and then coding these ROIs using bi-level image compression method. We explored the compression performance of the lossless ROI detection and coding method for various kinds of changes such as different shapes, locations and number of objects in the continuous set of frames. The CCITT Group 4, JBIG2 and Gzip are used for coding the detected ROIs. We concluded that CCITT Group 4 is a better choice for coding the ROIs in the Bi-level images because of its comparatively good compression performance and less computational complexity. This paper is intended to be a resource for the researchers interested in reducing the amount of data in the bi-level images for energy constrained WVSNs.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2012. 705-712 p.
Keyword [en]
ROI coding, Image Coding, Wireless Visual Sensor Network, Energy Consumption.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:miun:diva-18030DOI: 10.1109/WiMOB.2012.6379153Scopus ID: 2-s2.0-84872055183Local ID: STCISBN: 978-1-4673-1429-9 (print)OAI: oai:DiVA.org:miun-18030DiVA: diva2:579368
Conference
The 1st International Workshop on Wireless Multimedia Sensor Networks (WMSN 2012) in conjunction with The 8th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2012)
Available from: 2012-12-20 Created: 2012-12-20 Last updated: 2016-10-20Bibliographically approved
In thesis
1. Investigation of intelligence partitioning and data reduction in wireless visual sensor network
Open this publication in new window or tab >>Investigation of intelligence partitioning and data reduction in wireless visual sensor network
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Sundsvall: Mid Sweden University, 2013. 208 p.
Series
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 150
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-20976 (URN)STC (Local ID)978-91-87103-75-9 (ISBN)STC (Archive number)STC (OAI)
Supervisors
Available from: 2014-01-08 Created: 2014-01-08 Last updated: 2016-10-20Bibliographically approved

Open Access in DiVA

fulltext(607 kB)286 downloads
File information
File name FULLTEXT02.pdfFile size 607 kBChecksum SHA-512
d0f9fcc2b4ab7068a8c48d5a9f2d494f3627a6cca513f4f92d3f65aadedef1c2853b06667ccfcdf51c2eb91bf3e6d54a6f4c3679d8c53cdc62d57dfa604449a3
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Khursheed, KhursheedAhmad, NaeemImran, MuhammadO'Nils, Mattias
By organisation
Department of Information Technology and Media
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 286 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 595 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf