Distributed and adaptive multimedia content analysis prototyping framework for consumer electronics

J. Nesvadba; F. Lange, de; A.G. Sinitsyn; J.J. Lukkien; A. Korostelev

doi:10.1109/ICCE.2006.1598516

Distributed and adaptive multimedia content analysis prototyping framework for consumer electronics

J. Nesvadba, F. Lange, de, A.G. Sinitsyn, J.J. Lukkien, A. Korostelev

Mathematics and Computer Science

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

Abstract

The ever-increasing complexity of generic Multimedia- Content-Analysis-based (MCA) solutions, their processing power demanding nature and the need to prototype and assess solutions in a fast and cost-saving manner motivated the development of the Cassandra Framework. The combination of state-of-the-art network and gridcomputing solutions and recently standardized interfaces facilitated the set-up of this framework, forming the basis for multiple cross-domain and cross-organizational collaborations [1]. It enables distributed computing scenario simulations for e.g. Distributed Content Analysis (DCA) across Consumer Electronics (CE) In-Home networks, but also the rapid development and assessment of complex multi-MCA-algorithm-based applications and system solutions. Furthermore, the framework’s modular nature - logical MCA units are wrapped into so-called Service Units (SU) - ease the split between systemarchitecture- and algorithmic-related work and additionally facilitate reusability, extensibility and upgradeability of those SUs.

Original language	English
Title of host publication	International Conference on Consumer Electronics 2006 (Digest of Technical Papers, ICCE'06, Las Vegas NV, USA, January 7-11, 2006)
Publisher	Institute of Electrical and Electronics Engineers
Pages	473-474
ISBN (Print)	0-7803-9459-3
DOIs	https://doi.org/10.1109/ICCE.2006.1598516
Publication status	Published - 2006

Access to Document

10.1109/ICCE.2006.1598516

Fingerprint Dive into the research topics of 'Distributed and adaptive multimedia content analysis prototyping framework for consumer electronics'. Together they form a unique fingerprint.

Cite this

Nesvadba, J., Lange, de, F., Sinitsyn, A. G., Lukkien, J. J., & Korostelev, A. (2006). Distributed and adaptive multimedia content analysis prototyping framework for consumer electronics. In International Conference on Consumer Electronics 2006 (Digest of Technical Papers, ICCE'06, Las Vegas NV, USA, January 7-11, 2006) (pp. 473-474). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCE.2006.1598516

Nesvadba, J. ; Lange, de, F. ; Sinitsyn, A.G. ; Lukkien, J.J. ; Korostelev, A. / Distributed and adaptive multimedia content analysis prototyping framework for consumer electronics. International Conference on Consumer Electronics 2006 (Digest of Technical Papers, ICCE'06, Las Vegas NV, USA, January 7-11, 2006). Institute of Electrical and Electronics Engineers, 2006. pp. 473-474

@inproceedings{d6477054de6e40df8cdce74b3d67bb3a,

title = "Distributed and adaptive multimedia content analysis prototyping framework for consumer electronics",

abstract = "The ever-increasing complexity of generic Multimedia- Content-Analysis-based (MCA) solutions, their processing power demanding nature and the need to prototype and assess solutions in a fast and cost-saving manner motivated the development of the Cassandra Framework. The combination of state-of-the-art network and gridcomputing solutions and recently standardized interfaces facilitated the set-up of this framework, forming the basis for multiple cross-domain and cross-organizational collaborations [1]. It enables distributed computing scenario simulations for e.g. Distributed Content Analysis (DCA) across Consumer Electronics (CE) In-Home networks, but also the rapid development and assessment of complex multi-MCA-algorithm-based applications and system solutions. Furthermore, the framework{\textquoteright}s modular nature - logical MCA units are wrapped into so-called Service Units (SU) - ease the split between systemarchitecture- and algorithmic-related work and additionally facilitate reusability, extensibility and upgradeability of those SUs.",

author = "J. Nesvadba and {Lange, de}, F. and A.G. Sinitsyn and J.J. Lukkien and A. Korostelev",

year = "2006",

doi = "10.1109/ICCE.2006.1598516",

language = "English",

isbn = "0-7803-9459-3",

pages = "473--474",

booktitle = "International Conference on Consumer Electronics 2006 (Digest of Technical Papers, ICCE'06, Las Vegas NV, USA, January 7-11, 2006)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

}

Nesvadba, J, Lange, de, F, Sinitsyn, AG, Lukkien, JJ & Korostelev, A 2006, Distributed and adaptive multimedia content analysis prototyping framework for consumer electronics. in International Conference on Consumer Electronics 2006 (Digest of Technical Papers, ICCE'06, Las Vegas NV, USA, January 7-11, 2006). Institute of Electrical and Electronics Engineers, pp. 473-474. https://doi.org/10.1109/ICCE.2006.1598516

Distributed and adaptive multimedia content analysis prototyping framework for consumer electronics. / Nesvadba, J.; Lange, de, F.; Sinitsyn, A.G.; Lukkien, J.J.; Korostelev, A.

International Conference on Consumer Electronics 2006 (Digest of Technical Papers, ICCE'06, Las Vegas NV, USA, January 7-11, 2006). Institute of Electrical and Electronics Engineers, 2006. p. 473-474.

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

TY - GEN

T1 - Distributed and adaptive multimedia content analysis prototyping framework for consumer electronics

AU - Nesvadba, J.

AU - Lange, de, F.

AU - Sinitsyn, A.G.

AU - Lukkien, J.J.

AU - Korostelev, A.

PY - 2006

Y1 - 2006

N2 - The ever-increasing complexity of generic Multimedia- Content-Analysis-based (MCA) solutions, their processing power demanding nature and the need to prototype and assess solutions in a fast and cost-saving manner motivated the development of the Cassandra Framework. The combination of state-of-the-art network and gridcomputing solutions and recently standardized interfaces facilitated the set-up of this framework, forming the basis for multiple cross-domain and cross-organizational collaborations [1]. It enables distributed computing scenario simulations for e.g. Distributed Content Analysis (DCA) across Consumer Electronics (CE) In-Home networks, but also the rapid development and assessment of complex multi-MCA-algorithm-based applications and system solutions. Furthermore, the framework’s modular nature - logical MCA units are wrapped into so-called Service Units (SU) - ease the split between systemarchitecture- and algorithmic-related work and additionally facilitate reusability, extensibility and upgradeability of those SUs.

AB - The ever-increasing complexity of generic Multimedia- Content-Analysis-based (MCA) solutions, their processing power demanding nature and the need to prototype and assess solutions in a fast and cost-saving manner motivated the development of the Cassandra Framework. The combination of state-of-the-art network and gridcomputing solutions and recently standardized interfaces facilitated the set-up of this framework, forming the basis for multiple cross-domain and cross-organizational collaborations [1]. It enables distributed computing scenario simulations for e.g. Distributed Content Analysis (DCA) across Consumer Electronics (CE) In-Home networks, but also the rapid development and assessment of complex multi-MCA-algorithm-based applications and system solutions. Furthermore, the framework’s modular nature - logical MCA units are wrapped into so-called Service Units (SU) - ease the split between systemarchitecture- and algorithmic-related work and additionally facilitate reusability, extensibility and upgradeability of those SUs.

U2 - 10.1109/ICCE.2006.1598516

DO - 10.1109/ICCE.2006.1598516

M3 - Conference contribution

SN - 0-7803-9459-3

SP - 473

EP - 474

BT - International Conference on Consumer Electronics 2006 (Digest of Technical Papers, ICCE'06, Las Vegas NV, USA, January 7-11, 2006)

PB - Institute of Electrical and Electronics Engineers

ER -

Nesvadba J, Lange, de F, Sinitsyn AG, Lukkien JJ, Korostelev A. Distributed and adaptive multimedia content analysis prototyping framework for consumer electronics. In International Conference on Consumer Electronics 2006 (Digest of Technical Papers, ICCE'06, Las Vegas NV, USA, January 7-11, 2006). Institute of Electrical and Electronics Engineers. 2006. p. 473-474 https://doi.org/10.1109/ICCE.2006.1598516