Resource-aware video processing techniques for ambient multimedia systems

Nicholas H. Zamora, Xiaoping Hu, Umit Ogras, Radu Marculescu

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

Abstract

Ambient Intelligence (AmI) is the inconspicuous presence of computing into every facet of our lives. AmI systems of the future will contain devices with highly limited resources in terms of processing power, memory, and battery lifetime. Contrary to this are the memory, power, and cycle-hungry video processing applications which are required to provide the level of utility demanded by the users. This work introduces the idea of processing a portion of a video frame with the intent of achieving high levels of video processing performance while reducing the hardware requirements for that processing considerably. The techniques we propose operate only on a portion of the video frame and optionally adjust that portion's size dynamically to reasonably match the video content. Our results show that this technique can save roughly 75% in both memory and processing cycle requirements and up to 87% in energy consumption while inducing less than 10% error in XY processing of the video frame.

Original languageEnglish (US)
Title of host publication2004 IEEE International Conference on Multimedia and Expo (ICME)
Pages1471-1474
Number of pages4
Volume2
StatePublished - 2004
Externally publishedYes
Event2004 IEEE International Conference on Multimedia and Expo (ICME) - Taipei, Taiwan, Province of China
Duration: Jun 27 2004Jun 30 2004

Other

Other2004 IEEE International Conference on Multimedia and Expo (ICME)
CountryTaiwan, Province of China
CityTaipei
Period6/27/046/30/04

Fingerprint

Multimedia systems
Processing
Data storage equipment
Energy utilization
Hardware

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Zamora, N. H., Hu, X., Ogras, U., & Marculescu, R. (2004). Resource-aware video processing techniques for ambient multimedia systems. In 2004 IEEE International Conference on Multimedia and Expo (ICME) (Vol. 2, pp. 1471-1474)

Resource-aware video processing techniques for ambient multimedia systems. / Zamora, Nicholas H.; Hu, Xiaoping; Ogras, Umit; Marculescu, Radu.

2004 IEEE International Conference on Multimedia and Expo (ICME). Vol. 2 2004. p. 1471-1474.

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

Zamora, NH, Hu, X, Ogras, U & Marculescu, R 2004, Resource-aware video processing techniques for ambient multimedia systems. in 2004 IEEE International Conference on Multimedia and Expo (ICME). vol. 2, pp. 1471-1474, 2004 IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, Province of China, 6/27/04.
Zamora NH, Hu X, Ogras U, Marculescu R. Resource-aware video processing techniques for ambient multimedia systems. In 2004 IEEE International Conference on Multimedia and Expo (ICME). Vol. 2. 2004. p. 1471-1474
Zamora, Nicholas H. ; Hu, Xiaoping ; Ogras, Umit ; Marculescu, Radu. / Resource-aware video processing techniques for ambient multimedia systems. 2004 IEEE International Conference on Multimedia and Expo (ICME). Vol. 2 2004. pp. 1471-1474
@inproceedings{49727fcc7a364387afa50d1a54b81336,
title = "Resource-aware video processing techniques for ambient multimedia systems",
abstract = "Ambient Intelligence (AmI) is the inconspicuous presence of computing into every facet of our lives. AmI systems of the future will contain devices with highly limited resources in terms of processing power, memory, and battery lifetime. Contrary to this are the memory, power, and cycle-hungry video processing applications which are required to provide the level of utility demanded by the users. This work introduces the idea of processing a portion of a video frame with the intent of achieving high levels of video processing performance while reducing the hardware requirements for that processing considerably. The techniques we propose operate only on a portion of the video frame and optionally adjust that portion's size dynamically to reasonably match the video content. Our results show that this technique can save roughly 75{\%} in both memory and processing cycle requirements and up to 87{\%} in energy consumption while inducing less than 10{\%} error in XY processing of the video frame.",
author = "Zamora, {Nicholas H.} and Xiaoping Hu and Umit Ogras and Radu Marculescu",
year = "2004",
language = "English (US)",
isbn = "0780386035",
volume = "2",
pages = "1471--1474",
booktitle = "2004 IEEE International Conference on Multimedia and Expo (ICME)",

}

TY - GEN

T1 - Resource-aware video processing techniques for ambient multimedia systems

AU - Zamora, Nicholas H.

AU - Hu, Xiaoping

AU - Ogras, Umit

AU - Marculescu, Radu

PY - 2004

Y1 - 2004

N2 - Ambient Intelligence (AmI) is the inconspicuous presence of computing into every facet of our lives. AmI systems of the future will contain devices with highly limited resources in terms of processing power, memory, and battery lifetime. Contrary to this are the memory, power, and cycle-hungry video processing applications which are required to provide the level of utility demanded by the users. This work introduces the idea of processing a portion of a video frame with the intent of achieving high levels of video processing performance while reducing the hardware requirements for that processing considerably. The techniques we propose operate only on a portion of the video frame and optionally adjust that portion's size dynamically to reasonably match the video content. Our results show that this technique can save roughly 75% in both memory and processing cycle requirements and up to 87% in energy consumption while inducing less than 10% error in XY processing of the video frame.

AB - Ambient Intelligence (AmI) is the inconspicuous presence of computing into every facet of our lives. AmI systems of the future will contain devices with highly limited resources in terms of processing power, memory, and battery lifetime. Contrary to this are the memory, power, and cycle-hungry video processing applications which are required to provide the level of utility demanded by the users. This work introduces the idea of processing a portion of a video frame with the intent of achieving high levels of video processing performance while reducing the hardware requirements for that processing considerably. The techniques we propose operate only on a portion of the video frame and optionally adjust that portion's size dynamically to reasonably match the video content. Our results show that this technique can save roughly 75% in both memory and processing cycle requirements and up to 87% in energy consumption while inducing less than 10% error in XY processing of the video frame.

UR - http://www.scopus.com/inward/record.url?scp=11244346790&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=11244346790&partnerID=8YFLogxK

M3 - Conference contribution

SN - 0780386035

SN - 9780780386037

VL - 2

SP - 1471

EP - 1474

BT - 2004 IEEE International Conference on Multimedia and Expo (ICME)

ER -