Encoder adaptable difference detection for low power video compression in surveillance system

Xin Jin; Satoshi Goto

doi:10.1007/978-3-642-15696-0_27

Encoder adaptable difference detection for low power video compression in surveillance system

Xin Jin^*, Satoshi Goto

^*Corresponding author for this work

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

Abstract

In this paper, a difference detection algorithm is proposed to reduce the computational complexity and power consumption in surveillance video compression. The content differences of the input video data are automatically detected by analyzing the color and moving correlation features. Macroblocks without content differences are directly distributed to the bitstream writer of the H.264/AVC encoder. Both the computational complexity and the power consumption are significantly reduced by skipping the entire encoding process. An average of over 84% of overall encoding complexity can be reduced. No loss is observed in both of subjective and objective video quality. Without any requirement in changing the encoder hardware, the proposed algorithm provides high adaptability to be integrated into the existing H.264/AVC video encoders.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	285-296
Number of pages	12
Volume	6298 LNCS
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-15696-0_27
Publication status	Published - 2010
Event	11th Pacific Rim Conference on Multimedia, PCM 2010 - Shanghai Duration: 2010 Sept 21 → 2010 Sept 24

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	6298 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	11th Pacific Rim Conference on Multimedia, PCM 2010
City	Shanghai
Period	10/9/21 → 10/9/24

Keywords

Difference detection
encoder adaptability
low power video coding
surveillance video coding

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Access to Document

10.1007/978-3-642-15696-0_27

Cite this

Jin, X., & Goto, S. (2010). Encoder adaptable difference detection for low power video compression in surveillance system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 6298 LNCS, pp. 285-296). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6298 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-15696-0_27

Encoder adaptable difference detection for low power video compression in surveillance system. / Jin, Xin; Goto, Satoshi.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6298 LNCS PART 2. ed. 2010. p. 285-296 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6298 LNCS, No. PART 2).

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

Jin, X & Goto, S 2010, Encoder adaptable difference detection for low power video compression in surveillance system. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 6298 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6298 LNCS, pp. 285-296, 11th Pacific Rim Conference on Multimedia, PCM 2010, Shanghai, 10/9/21. https://doi.org/10.1007/978-3-642-15696-0_27

Jin X, Goto S. Encoder adaptable difference detection for low power video compression in surveillance system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 6298 LNCS. 2010. p. 285-296. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-15696-0_27

Jin, Xin ; Goto, Satoshi. / Encoder adaptable difference detection for low power video compression in surveillance system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6298 LNCS PART 2. ed. 2010. pp. 285-296 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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Encoder adaptable difference detection for low power video compression in surveillance system

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