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The International Conference on Information Technology: Coding and Computing (ITCC'00)
An Architecture for Video Content Filtering in Consumer Domain
Las Vegas, Nevada
March 27-March 29
ISBN: 0-7695-0540-6
ASCII Text
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Nevenka Dimitrova, Herman Elenbaas, Thomas McGee, Eugene Leyvi, Lalitha Agnihotri, "An Architecture for Video Content Filtering in Consumer Domain," Information Technology: Coding and Computing, International Conference on, pp. 214, The International Conference on Information Technology: Coding and Computing (ITCC'00), 2000.
 
 
BibTex
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@article{ 10.1109/ITCC.2000.844213,
author = {Nevenka Dimitrova and Herman Elenbaas and Thomas McGee and Eugene Leyvi and Lalitha Agnihotri},
title = {An Architecture for Video Content Filtering in Consumer Domain},
journal ={Information Technology: Coding and Computing, International Conference on},
volume = {0},
year = {2000},
isbn = {0-7695-0540-6},
pages = {214},
doi = {http://doi.ieeecomputersociety.org/10.1109/ITCC.2000.844213},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Information Technology: Coding and Computing, International Conference on
TI - An Architecture for Video Content Filtering in Consumer Domain
SN - 0-7695-0540-6
SP
EP
A1 - Nevenka Dimitrova,
A1 - Herman Elenbaas,
A1 - Thomas McGee,
A1 - Eugene Leyvi,
A1 - Lalitha Agnihotri,
PY - 2000
VL - 0
JA - Information Technology: Coding and Computing, International Conference on
ER -
 
Nevenka Dimitrova, Philips Research
Herman Elenbaas, Philips Research
Thomas McGee, Philips Research
Eugene Leyvi, Philips Research
Lalitha Agnihotri, Philips Research
The transition from analog to digital video enables the consumer access to an enormous amount of high quality video material. In this paper, we describe architecture of a video content filtering system through video analysis and abstraction. We explain the algorithms for video characterization, their performance and practical considerations for including them in the architecture for video filtering. The algorithms and the architecture for abstracted video representation can be used in a variety of consumer domain applications, such as a personalized news retrieval system, home video library or commercial skipping.
Citation:
Nevenka Dimitrova, Herman Elenbaas, Thomas McGee, Eugene Leyvi, Lalitha Agnihotri, "An Architecture for Video Content Filtering in Consumer Domain," itcc, pp.214, The International Conference on Information Technology: Coding and Computing (ITCC'00), 2000
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