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

Phat Nguyen Huu; Vinh Tran-Quang; Takumi Miyoshi

doi:10.1109/APNOMS.2011.6077043

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

Phat Nguyen Huu, Vinh Tran-Quang, Takumi Miyoshi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

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.

Original language	English
Title of host publication	APNOMS 2011 - 13th Asia-Pacific Network Operations and Management Symposium
Subtitle of host publication	Managing Clouds, Smart Networks and Services, Final Program
DOIs	https://doi.org/10.1109/APNOMS.2011.6077043
Publication status	Published - 2011 Dec 16
Event	13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, APNOMS 2011 - Taipei, Taiwan, Province of China Duration: 2011 Sept 21 → 2011 Sept 23

Publication series

Name	APNOMS 2011 - 13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, Final Program

Conference

Conference	13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, APNOMS 2011
Country/Territory	Taiwan, Province of China
City	Taipei
Period	11/9/21 → 11/9/23

ASJC Scopus subject areas

Management Science and Operations Research

Access to Document

10.1109/APNOMS.2011.6077043

Cite this

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. In APNOMS 2011 - 13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, Final Program [6077043] (APNOMS 2011 - 13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, Final Program). https://doi.org/10.1109/APNOMS.2011.6077043

Low-complexity motion estimation algorithm using edge feature for video compression on wireless video sensor networks. / Huu, Phat Nguyen; Tran-Quang, Vinh; Miyoshi, Takumi.
APNOMS 2011 - 13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, Final Program. 2011. 6077043 (APNOMS 2011 - 13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, Final Program).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Huu, PN, Tran-Quang, V & Miyoshi, T 2011, Low-complexity motion estimation algorithm using edge feature for video compression on wireless video sensor networks. in APNOMS 2011 - 13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, Final Program., 6077043, APNOMS 2011 - 13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, Final Program, 13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, APNOMS 2011, Taipei, Taiwan, Province of China, 11/9/21. https://doi.org/10.1109/APNOMS.2011.6077043

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

Huu, Phat Nguyen ; Tran-Quang, Vinh ; Miyoshi, Takumi. / 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. 2011. (APNOMS 2011 - 13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, Final Program).

@inproceedings{f3872a5d8a12449cb5beee50e5df115c,

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

abstract = "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.",

author = "Huu, {Phat Nguyen} and Vinh Tran-Quang and Takumi Miyoshi",

year = "2011",

month = dec,

day = "16",

doi = "10.1109/APNOMS.2011.6077043",

language = "English",

isbn = "9781457716706",

series = "APNOMS 2011 - 13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, Final Program",

booktitle = "APNOMS 2011 - 13th Asia-Pacific Network Operations and Management Symposium",

note = "13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, APNOMS 2011 ; Conference date: 21-09-2011 Through 23-09-2011",

}

TY - GEN

T1 - Low-complexity motion estimation algorithm using edge feature for video compression on wireless video sensor networks

AU - Huu, Phat Nguyen

AU - Tran-Quang, Vinh

AU - Miyoshi, Takumi

PY - 2011/12/16

Y1 - 2011/12/16

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=83355167497&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=83355167497&partnerID=8YFLogxK

U2 - 10.1109/APNOMS.2011.6077043

DO - 10.1109/APNOMS.2011.6077043

M3 - Conference contribution

AN - SCOPUS:83355167497

SN - 9781457716706

T3 - APNOMS 2011 - 13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, Final Program

BT - APNOMS 2011 - 13th Asia-Pacific Network Operations and Management Symposium

T2 - 13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, APNOMS 2011

Y2 - 21 September 2011 through 23 September 2011

ER -

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

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this