Face detection in the compressed domain

Pedro Fonseca; Jan Nesvadba

doi:10.1109/ICIP.2004.1421478

Face detection in the compressed domain

Pedro Fonseca
, Jan Nesvadba

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

16 Citaten (Scopus)

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Face detection is important in many algorithms in the areas of machine object recognition and pattern recognition. The kaleidoscope of applications for face detection extends across automatic image and home video content annotation, face-image stabilisation and face recognition systems. By using information derived from colour, luminosity and frequency the face detection algorithm proposed in this paper aims to determine the location of multiple frontal and non-frontal faces in compressed MPEG-1, MPEG-2 video or JPEG image content. The described algorithm requires only low computational resources on CE devices and offers at one and the same time extremely high detection rates.

Originele taal-2	Engels
Titel	2004 International Conference on Image Processing, ICIP 2004
Pagina's	2015-2018
Aantal pagina's	4
Volume	3
DOI's	https://doi.org/10.1109/ICIP.2004.1421478
Status	Gepubliceerd - 1 dec. 2004
Extern gepubliceerd	Ja
Evenement	11th IEEE International Conference on Image Processing (ICIP 2004) - Singapore, Singapore Duur: 24 okt. 2004 → 27 okt. 2004 Congresnummer: 11

Congres

Congres	11th IEEE International Conference on Image Processing (ICIP 2004)
Verkorte titel	ICIP 2004
Land/Regio	Singapore
Stad	Singapore
Periode	24/10/04 → 27/10/04
Ander	ICIP 2004 : International Conference on Image Processing : Singapore, 24-27 October 2004

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title = "Face detection in the compressed domain",

abstract = "Face detection is important in many algorithms in the areas of machine object recognition and pattern recognition. The kaleidoscope of applications for face detection extends across automatic image and home video content annotation, face-image stabilisation and face recognition systems. By using information derived from colour, luminosity and frequency the face detection algorithm proposed in this paper aims to determine the location of multiple frontal and non-frontal faces in compressed MPEG-1, MPEG-2 video or JPEG image content. The described algorithm requires only low computational resources on CE devices and offers at one and the same time extremely high detection rates.",

author = "Pedro Fonseca and Jan Nesvadba",

year = "2004",

month = dec,

day = "1",

doi = "10.1109/ICIP.2004.1421478",

language = "English",

isbn = "0780385543",

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AU - Fonseca, Pedro

AU - Nesvadba, Jan

N1 - Conference code: 11

PY - 2004/12/1

Y1 - 2004/12/1

N2 - Face detection is important in many algorithms in the areas of machine object recognition and pattern recognition. The kaleidoscope of applications for face detection extends across automatic image and home video content annotation, face-image stabilisation and face recognition systems. By using information derived from colour, luminosity and frequency the face detection algorithm proposed in this paper aims to determine the location of multiple frontal and non-frontal faces in compressed MPEG-1, MPEG-2 video or JPEG image content. The described algorithm requires only low computational resources on CE devices and offers at one and the same time extremely high detection rates.

AB - Face detection is important in many algorithms in the areas of machine object recognition and pattern recognition. The kaleidoscope of applications for face detection extends across automatic image and home video content annotation, face-image stabilisation and face recognition systems. By using information derived from colour, luminosity and frequency the face detection algorithm proposed in this paper aims to determine the location of multiple frontal and non-frontal faces in compressed MPEG-1, MPEG-2 video or JPEG image content. The described algorithm requires only low computational resources on CE devices and offers at one and the same time extremely high detection rates.

UR - https://www.scopus.com/pages/publications/20444496035

U2 - 10.1109/ICIP.2004.1421478

DO - 10.1109/ICIP.2004.1421478

M3 - Conference contribution

AN - SCOPUS:20444496035

SN - 0780385543

VL - 3

SP - 2015

EP - 2018

BT - 2004 International Conference on Image Processing, ICIP 2004

T2 - 11th IEEE International Conference on Image Processing (ICIP 2004)

Y2 - 24 October 2004 through 27 October 2004

ER -

Face detection in the compressed domain

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