Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2003 International Conference on Multimedia and Expo, ICME |
| Publisher | IEEE Computer Society |
| Pages | II1-II4 |
| ISBN (electronic) | 0780379659 |
| Publication status | Published - 2003 |
| Event | 2003 International Conference on Multimedia and Expo, ICME 2003 - Baltimore, United States Duration: 6 Jul 2003 → 9 Jul 2003 |
Publication series
| Name | Proceedings - IEEE International Conference on Multimedia and Expo |
|---|---|
| Volume | 2 |
| ISSN (Print) | 1945-7871 |
| ISSN (electronic) | 1945-788X |
Abstract
This paper describes the work in progress of the European IST-2001-34410 CAMELLIA project, which focuses on a platform-based development of a smart imaging core to be embedded in smart cameras. Therefore the work within the CAMELLIA project comprises the specification and implementation of smart imaging applications including the development of required new algorithms and hardware. Based on an existing video encoding architecture for MPEG-4 Simple Profile, the aim is to design a smart imaging core, which is suitable for automotive and mobile communication applications. Thereby the encoding architecture is to be extended with processing units for low-and mid-level smart imaging functions. To indicate the applicability of this platform-based development, a first approach for a motion estimation based background detection using a hardware motion estimation unit is illustrated in this paper. Furthermore, first results employing the background detection to detect moving objects in video sequences using a functional simulator of a video encoding architecture are presented.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Computer Science Applications
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Proceedings - 2003 International Conference on Multimedia and Expo, ICME. IEEE Computer Society, 2003. p. II1-II4 1221538 (Proceedings - IEEE International Conference on Multimedia and Expo; Vol. 2).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - A core for ambient and mobile intelligent imaging applications
AU - Jachalsky, J.
AU - Wahler, M.
AU - Pirsch, P.
AU - Capperon, S.
AU - Gehrke, W.
AU - Kruijtzer, W. M.
AU - Nunez, A.
PY - 2003
Y1 - 2003
N2 - This paper describes the work in progress of the European IST-2001-34410 CAMELLIA project, which focuses on a platform-based development of a smart imaging core to be embedded in smart cameras. Therefore the work within the CAMELLIA project comprises the specification and implementation of smart imaging applications including the development of required new algorithms and hardware. Based on an existing video encoding architecture for MPEG-4 Simple Profile, the aim is to design a smart imaging core, which is suitable for automotive and mobile communication applications. Thereby the encoding architecture is to be extended with processing units for low-and mid-level smart imaging functions. To indicate the applicability of this platform-based development, a first approach for a motion estimation based background detection using a hardware motion estimation unit is illustrated in this paper. Furthermore, first results employing the background detection to detect moving objects in video sequences using a functional simulator of a video encoding architecture are presented.
AB - This paper describes the work in progress of the European IST-2001-34410 CAMELLIA project, which focuses on a platform-based development of a smart imaging core to be embedded in smart cameras. Therefore the work within the CAMELLIA project comprises the specification and implementation of smart imaging applications including the development of required new algorithms and hardware. Based on an existing video encoding architecture for MPEG-4 Simple Profile, the aim is to design a smart imaging core, which is suitable for automotive and mobile communication applications. Thereby the encoding architecture is to be extended with processing units for low-and mid-level smart imaging functions. To indicate the applicability of this platform-based development, a first approach for a motion estimation based background detection using a hardware motion estimation unit is illustrated in this paper. Furthermore, first results employing the background detection to detect moving objects in video sequences using a functional simulator of a video encoding architecture are presented.
UR - http://www.scopus.com/inward/record.url?scp=84908570393&partnerID=8YFLogxK
U2 - 10.1109/ICME.2003.1221538
DO - 10.1109/ICME.2003.1221538
M3 - Conference contribution
AN - SCOPUS:84908570393
T3 - Proceedings - IEEE International Conference on Multimedia and Expo
SP - II1-II4
BT - Proceedings - 2003 International Conference on Multimedia and Expo, ICME
PB - IEEE Computer Society
T2 - 2003 International Conference on Multimedia and Expo, ICME 2003
Y2 - 6 July 2003 through 9 July 2003
ER -