Meaningful automatic video demultiplexing with unknown number of cameras, contrast changes, and motion

J. L. LISANI; L. RUDIN; P. MONASSE; J. M. MOREL; P. YU

doi:10.1109/AVSS.2005.1577337

Meaningful automatic video demultiplexing with unknown number of cameras, contrast changes, and motion

J. L. LISANI^*
, L. RUDIN
, P. MONASSE
, J. M. MOREL
, P. YU

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

3 Citations (Scopus)

Abstract

This paper presents a software-based parameter-free method for the demultiplexing of a video stream [7] that is missing camera labeling information. The method is based on the observation that frames coming from the same input camera share some common characteristic features. These features are extracted from the input frames and grouped together according to statistical criteria. As a result of this grouping the number of different input sources in the video stream is inferred and it is possible to ascertain the source for each frame. © 2005 IEEE.

Original language	English
Title of host publication	IEEE Conference on Advanced Video and Signal Based Based Surveillance: Proceedings of AVSS 2005
Publisher	IEEE
Pages	604-608
Number of pages	5
ISBN (Print)	9780780393851
DOIs	https://doi.org/10.1109/AVSS.2005.1577337
Publication status	Published - Dec 2005
Externally published	Yes
Event	IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2005 - Como, Italy Duration: 15 Sept 2005 → 16 Sept 2005

Conference

Conference	IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2005
Country/Territory	Italy
City	Como
Period	15/09/05 → 16/09/05

Access to Document

10.1109/AVSS.2005.1577337

Cite this

@inproceedings{273854fe8a5740e2b7dcc21cf1edd6ca,

title = "Meaningful automatic video demultiplexing with unknown number of cameras, contrast changes, and motion",

abstract = "This paper presents a software-based parameter-free method for the demultiplexing of a video stream [7] that is missing camera labeling information. The method is based on the observation that frames coming from the same input camera share some common characteristic features. These features are extracted from the input frames and grouped together according to statistical criteria. As a result of this grouping the number of different input sources in the video stream is inferred and it is possible to ascertain the source for each frame. {\textcopyright} 2005 IEEE.",

author = "LISANI, \{J. L.\} and L. RUDIN and P. MONASSE and MOREL, \{J. M.\} and P. YU",

year = "2005",

month = dec,

doi = "10.1109/AVSS.2005.1577337",

language = "English",

isbn = "9780780393851",

pages = "604--608",

booktitle = "IEEE Conference on Advanced Video and Signal Based Based Surveillance: Proceedings of AVSS 2005",

publisher = "IEEE",

note = "IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2005 ; Conference date: 15-09-2005 Through 16-09-2005",

}

LISANI, JL, RUDIN, L, MONASSE, P, MOREL, JM & YU, P 2005, Meaningful automatic video demultiplexing with unknown number of cameras, contrast changes, and motion. in IEEE Conference on Advanced Video and Signal Based Based Surveillance: Proceedings of AVSS 2005., 1577337, IEEE, pp. 604-608, IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2005, Como, Italy, 15/09/05. https://doi.org/10.1109/AVSS.2005.1577337

Meaningful automatic video demultiplexing with unknown number of cameras, contrast changes, and motion. / LISANI, J. L.; RUDIN, L.; MONASSE, P. et al.
IEEE Conference on Advanced Video and Signal Based Based Surveillance: Proceedings of AVSS 2005. IEEE, 2005. p. 604-608 1577337.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

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AU - LISANI, J. L.

AU - RUDIN, L.

AU - MONASSE, P.

AU - MOREL, J. M.

AU - YU, P.

PY - 2005/12

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AB - This paper presents a software-based parameter-free method for the demultiplexing of a video stream [7] that is missing camera labeling information. The method is based on the observation that frames coming from the same input camera share some common characteristic features. These features are extracted from the input frames and grouped together according to statistical criteria. As a result of this grouping the number of different input sources in the video stream is inferred and it is possible to ascertain the source for each frame. © 2005 IEEE.

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DO - 10.1109/AVSS.2005.1577337

M3 - Conference paper (refereed)

AN - SCOPUS:33846958041

SN - 9780780393851

SP - 604

EP - 608

BT - IEEE Conference on Advanced Video and Signal Based Based Surveillance: Proceedings of AVSS 2005

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T2 - IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2005

Y2 - 15 September 2005 through 16 September 2005

ER -

Meaningful automatic video demultiplexing with unknown number of cameras, contrast changes, and motion

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