Video compression schemes using edge feature on wireless video sensor networks

Phat Nguyen Huu, Vinh Tran-Quang, Takumi Miyoshi

研究成果: Article査読

14 被引用数 (Scopus)


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.

ジャーナルJournal of Electrical and Computer Engineering
出版ステータスPublished - 2012

ASJC Scopus subject areas

  • 信号処理
  • コンピュータサイエンス一般
  • 電子工学および電気工学


「Video compression schemes using edge feature on wireless video sensor networks」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。