Efficient motion estimation for video coding in wireless surveillance applications

Muhammad Akram; Naeem Ramzan; Ebroul Izquierdo

doi:10.1109/ICUMT.2009.5345406

Efficient motion estimation for video coding in wireless surveillance applications

Muhammad Akram, Naeem Ramzan, Ebroul Izquierdo

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

Abstract

In this paper, we propose a novel approach to perform selective motion estimation specific to video coding for wireless surveillance applications. A real-time background subtractor is used to detect the presence of any motion activity in the sequence. Two approaches for selective motion estimation, group of pictures (GOP) based and frame based, are implemented. In the former, motion estimation is performed for the whole group of pictures only when moving object is detected in any frame of the GOP. While for the latter approach; each frame is tested for the motion activity and consequently for selective motion estimation. Experimental evaluation shows that significant reduction in computational complexity can be achieved by applying the proposed strategy. The achieved efficiency gains make the proposed approach suitable for low bitrate transmission in wireless applications.

Original language	English
Title of host publication	ICUMT '09. International Conference on Ultra Modern Telecommunications & Workshops
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1-4
Number of pages	4
ISBN (Print)	9781424439423
DOIs	https://doi.org/10.1109/ICUMT.2009.5345406
Publication status	Published - 4 Dec 2009
Externally published	Yes

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10.1109/ICUMT.2009.5345406

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title = "Efficient motion estimation for video coding in wireless surveillance applications",

abstract = "In this paper, we propose a novel approach to perform selective motion estimation specific to video coding for wireless surveillance applications. A real-time background subtractor is used to detect the presence of any motion activity in the sequence. Two approaches for selective motion estimation, group of pictures (GOP) based and frame based, are implemented. In the former, motion estimation is performed for the whole group of pictures only when moving object is detected in any frame of the GOP. While for the latter approach; each frame is tested for the motion activity and consequently for selective motion estimation. Experimental evaluation shows that significant reduction in computational complexity can be achieved by applying the proposed strategy. The achieved efficiency gains make the proposed approach suitable for low bitrate transmission in wireless applications.",

author = "Muhammad Akram and Naeem Ramzan and Ebroul Izquierdo",

year = "2009",

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doi = "10.1109/ICUMT.2009.5345406",

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AU - Akram, Muhammad

AU - Ramzan, Naeem

AU - Izquierdo, Ebroul

PY - 2009/12/4

Y1 - 2009/12/4

N2 - In this paper, we propose a novel approach to perform selective motion estimation specific to video coding for wireless surveillance applications. A real-time background subtractor is used to detect the presence of any motion activity in the sequence. Two approaches for selective motion estimation, group of pictures (GOP) based and frame based, are implemented. In the former, motion estimation is performed for the whole group of pictures only when moving object is detected in any frame of the GOP. While for the latter approach; each frame is tested for the motion activity and consequently for selective motion estimation. Experimental evaluation shows that significant reduction in computational complexity can be achieved by applying the proposed strategy. The achieved efficiency gains make the proposed approach suitable for low bitrate transmission in wireless applications.

AB - In this paper, we propose a novel approach to perform selective motion estimation specific to video coding for wireless surveillance applications. A real-time background subtractor is used to detect the presence of any motion activity in the sequence. Two approaches for selective motion estimation, group of pictures (GOP) based and frame based, are implemented. In the former, motion estimation is performed for the whole group of pictures only when moving object is detected in any frame of the GOP. While for the latter approach; each frame is tested for the motion activity and consequently for selective motion estimation. Experimental evaluation shows that significant reduction in computational complexity can be achieved by applying the proposed strategy. The achieved efficiency gains make the proposed approach suitable for low bitrate transmission in wireless applications.

U2 - 10.1109/ICUMT.2009.5345406

DO - 10.1109/ICUMT.2009.5345406

M3 - Conference contribution

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EP - 4

BT - ICUMT '09. International Conference on Ultra Modern Telecommunications & Workshops

PB - IEEE

CY - Piscataway, NJ

ER -

Efficient motion estimation for video coding in wireless surveillance applications

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