Video compression schemes using edge feature on wireless video sensor networks

Phat Nguyen Huu, Vinh Tran-Quang, Takumi Miyoshi

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper puts forward a low-complexity video compression algorithm that uses the edges of objects in the frames to estimate and compensate for motion. Based on the proposed algorithm, two schemes that balance energy consumption among nodes in a cluster on a wireless video sensor network (WVSN) are proposed. In these schemes, we divide the compression process into several small processing components, which are then distributed to multiple nodes along a path from a source node to a cluster head in a cluster. We conduct extensive computational simulations to examine the truth of our method and find that the proposed schemes not only balance energy consumption of sensor nodes by sharing of the processing tasks but also improve the quality of decoding video by using edges of objects in the frames.

Original languageEnglish
Article number421307
JournalJournal of Electrical and Computer Engineering
DOIs
Publication statusPublished - 2012

Fingerprint

Image compression
Sensor networks
Energy utilization
Processing
Sensor nodes
Decoding

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Computer Science(all)

Cite this

Video compression schemes using edge feature on wireless video sensor networks. / Nguyen Huu, Phat; Tran-Quang, Vinh; Miyoshi, Takumi.

In: Journal of Electrical and Computer Engineering, 2012.

Research output: Contribution to journalArticle

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