Fast stereo matching in compressed video

Michael S. Brown; W. Brent Seales

doi:10.1007/3-540-63930-6_167

Fast stereo matching in compressed video

Michael S. Brown
, W. Brent Seales

Computer Science

Producción científica: Conference contribution › revisión exhaustiva

Resumen

In this paper we present new algorithms that exploit compressed image data to achieve coarse stereo reconstructions in a realtime environment. Others have shown large gains from processing image streams in compressed form, and we extend those results to address the stereo correspondence problem. We show that it is possible to obtain stereo matches between two frames of a compressed video stream in approximately the same time it takes to fully decompress just one image.

Idioma original	English
Título de la publicación alojada	Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings
Editores	Roland Chin, Ting-Chuen Pong
Páginas	558-565
Número de páginas	8
DOI	https://doi.org/10.1007/3-540-63930-6_167
Estado	Published - 1997
Evento	3rd Asian Conference on Computer Vision, ACCV 1998 - Hong Kong, China Duración: ene 8 1998 → ene 10 1998

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	1351
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conference

Conference	3rd Asian Conference on Computer Vision, ACCV 1998
País/Territorio	China
Ciudad	Hong Kong
Período	1/8/98 → 1/10/98

Nota bibliográfica

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1997.

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/3-540-63930-6_167

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Brown, M. S., & Seales, W. B. (1997). Fast stereo matching in compressed video. En R. Chin, & T.-C. Pong (Eds.), Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings (pp. 558-565). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1351). https://doi.org/10.1007/3-540-63930-6_167

@inproceedings{5ae594dabcc44502badd5f371d89e940,

title = "Fast stereo matching in compressed video",

abstract = "In this paper we present new algorithms that exploit compressed image data to achieve coarse stereo reconstructions in a realtime environment. Others have shown large gains from processing image streams in compressed form, and we extend those results to address the stereo correspondence problem. We show that it is possible to obtain stereo matches between two frames of a compressed video stream in approximately the same time it takes to fully decompress just one image.",

keywords = "Compresseddomain, Compression, Depth reconstruction, Real-time, Stereo",

author = "Brown, \{Michael S.\} and Seales, \{W. Brent\}",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1997.; 3rd Asian Conference on Computer Vision, ACCV 1998 ; Conference date: 08-01-1998 Through 10-01-1998",

year = "1997",

doi = "10.1007/3-540-63930-6\_167",

language = "English",

isbn = "3540639306",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "558--565",

editor = "Roland Chin and Ting-Chuen Pong",

booktitle = "Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings",

}

Brown, MS & Seales, WB 1997, Fast stereo matching in compressed video. En R Chin & T-C Pong (eds.), Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1351, pp. 558-565, 3rd Asian Conference on Computer Vision, ACCV 1998, Hong Kong, China, 1/8/98. https://doi.org/10.1007/3-540-63930-6_167

Fast stereo matching in compressed video. / Brown, Michael S.; Seales, W. Brent.
Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings. ed. / Roland Chin; Ting-Chuen Pong. 1997. p. 558-565 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1351).

Producción científica: Conference contribution › revisión exhaustiva

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N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 1997.

PY - 1997

Y1 - 1997

N2 - In this paper we present new algorithms that exploit compressed image data to achieve coarse stereo reconstructions in a realtime environment. Others have shown large gains from processing image streams in compressed form, and we extend those results to address the stereo correspondence problem. We show that it is possible to obtain stereo matches between two frames of a compressed video stream in approximately the same time it takes to fully decompress just one image.

AB - In this paper we present new algorithms that exploit compressed image data to achieve coarse stereo reconstructions in a realtime environment. Others have shown large gains from processing image streams in compressed form, and we extend those results to address the stereo correspondence problem. We show that it is possible to obtain stereo matches between two frames of a compressed video stream in approximately the same time it takes to fully decompress just one image.

KW - Compresseddomain

KW - Compression

KW - Depth reconstruction

KW - Real-time

KW - Stereo

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DO - 10.1007/3-540-63930-6_167

M3 - Conference contribution

AN - SCOPUS:84957706380

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings

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Y2 - 8 January 1998 through 10 January 1998

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Fast stereo matching in compressed video

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ASJC Scopus subject areas

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