Efficient motion estimation algorithm using edge feature and arithmetic coding for video compression on WVSNs

Phat Nguyen Huu, Vinh Tran-Quang, Takumi Miyoshi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper investigates a video compression algorithm for wireless video sensor networks (WVSNs). The main features of the algorithm are to use the edges of objects in the frames and arithmetic coding to find and compress motion regions. Based on the algorithm, we propose a scheme that balances energy consumption among nodes in a cluster on a WVSN. In the proposed scheme, we try to share the compression tasks for nodes along the path from a source node to a cluster head while considering their residual energy. To improve the quality of decoded video, we use a lapped biorthogonal transform (LBT), an extended version of the discrete cosine transform (DCT), for intra-frames. Besides, we apply the run length encoding (RLE) before arithmetic coding so that the proposed algorithm increases compression efficiency. Our results show that the proposed scheme not only balances energy consumption of network by coordinating of the processing tasks but also increases the quality of decoded video.

Original languageEnglish
Title of host publication2011 International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2011
Pages178-182
Number of pages5
Publication statusPublished - 2011
Event19th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2011 - Split, Hvar, Dubrovnik
Duration: 2011 Sep 152011 Sep 17

Other

Other19th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2011
CitySplit, Hvar, Dubrovnik
Period11/9/1511/9/17

Fingerprint

Motion estimation
Image compression
Sensor networks
Energy utilization
Discrete cosine transforms
Processing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

Cite this

Huu, P. N., Tran-Quang, V., & Miyoshi, T. (2011). Efficient motion estimation algorithm using edge feature and arithmetic coding for video compression on WVSNs. In 2011 International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2011 (pp. 178-182). [6064410]

Efficient motion estimation algorithm using edge feature and arithmetic coding for video compression on WVSNs. / Huu, Phat Nguyen; Tran-Quang, Vinh; Miyoshi, Takumi.

2011 International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2011. 2011. p. 178-182 6064410.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Huu, PN, Tran-Quang, V & Miyoshi, T 2011, Efficient motion estimation algorithm using edge feature and arithmetic coding for video compression on WVSNs. in 2011 International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2011., 6064410, pp. 178-182, 19th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2011, Split, Hvar, Dubrovnik, 11/9/15.
Huu PN, Tran-Quang V, Miyoshi T. Efficient motion estimation algorithm using edge feature and arithmetic coding for video compression on WVSNs. In 2011 International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2011. 2011. p. 178-182. 6064410
Huu, Phat Nguyen ; Tran-Quang, Vinh ; Miyoshi, Takumi. / Efficient motion estimation algorithm using edge feature and arithmetic coding for video compression on WVSNs. 2011 International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2011. 2011. pp. 178-182
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