Low-complexity motion estimation algorithm using edge feature for video compression on wireless video sensor networks

Phat Nguyen Huu, Vinh Tran-Quang, Takumi Miyoshi

研究成果: Conference contribution

抜粋

This paper proposes a video compression algorithm that uses the edges of frames to estimate and compensate for motions. Based on the algorithm, we propose two schemes that balance energy consumption among nodes in a cluster on a wireless video sensor network. In these schemes, the compression process is divided into several small processing components, which are then distributed to multiple nodes while considering their residual energy. We conducted extensive computational simulations to verify our methods and found that the proposed schemes not only solve the energy balance problem by coordination of the processing tasks but also increase the quality of decoded video.

元の言語English
ホスト出版物のタイトルAPNOMS 2011 - 13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, Final Program
DOI
出版物ステータスPublished - 2011
イベント13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, APNOMS 2011 - Taipei
継続期間: 2011 9 212011 9 23

Other

Other13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, APNOMS 2011
Taipei
期間11/9/2111/9/23

    フィンガープリント

ASJC Scopus subject areas

  • Management Science and Operations Research

これを引用

Huu, P. N., Tran-Quang, V., & Miyoshi, T. (2011). Low-complexity motion estimation algorithm using edge feature for video compression on wireless video sensor networks. : APNOMS 2011 - 13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, Final Program [6077043] https://doi.org/10.1109/APNOMS.2011.6077043