Robust Adaptable Video Copy Detection

Ira Assent; Hardy Kremer

doi:10.1007/978-3-642-02982-0_25

Robust Adaptable Video Copy Detection

Ira Assent, Hardy Kremer

Research output: Contribution to journal › Conference article in Journal › Research › peer-review

8 Citations (Scopus)

Abstract

Video copy detection should be capable of identifying video copies subject to alterations e.g. in video contrast or frame rates. We propose a video copy detection scheme that allows for adaptable detection of videos that are altered temporally (e.g. frame rate change) and/or visually (e.g. change in contrast). Our query processing combines filtering and indexing structures for efficient multistep computation of video copies under this model. We show that our model successfully identifies altered video copies and does so more reliably than existing models.

Original language	English
Book series	Lecture Notes in Computer Science
Volume	5644
Pages (from-to)	380-385
ISSN	0302-9743
DOIs	https://doi.org/10.1007/978-3-642-02982-0_25
Publication status	Published - 2009
Event	International Symposium on Spatial and Temporal Databases (SSTD 2009) - Aalborg, Denmark Duration: 8 Jul 2009 → 10 Jul 2009 Conference number: 11

Conference

Conference	International Symposium on Spatial and Temporal Databases (SSTD 2009)
Number	11
Country/Territory	Denmark
City	Aalborg
Period	08/07/2009 → 10/07/2009

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10.1007/978-3-642-02982-0_25

http://www.springerlink.com/content/w2105062n337/?p=8a6573316cb24cd59d00d69e734bac33&pi=3

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@inproceedings{faf0e880fd4011de9a61000ea68e967b,

title = "Robust Adaptable Video Copy Detection",

abstract = "Video copy detection should be capable of identifying video copies subject to alterations e.g. in video contrast or frame rates. We propose a video copy detection scheme that allows for adaptable detection of videos that are altered temporally (e.g. frame rate change) and/or visually (e.g. change in contrast). Our query processing combines filtering and indexing structures for efficient multistep computation of video copies under this model. We show that our model successfully identifies altered video copies and does so more reliably than existing models.",

author = "Ira Assent and Hardy Kremer",

note = "Titel: Proc. 11th International Symposium on Spatial and Temporal Databases (SSTD 2009) Oversat titel: Oversat undertitel: Forlag: Springer ISBN (Trykt): 978-3-642-02981-3 ISBN (Elektronisk): Publikationsserier: Lecture Notes in Computer Science, Springer Verlag, 0302-9743, 1611-3349, 5644 ; International Symposium on Spatial and Temporal Databases (SSTD 2009) ; Conference date: 08-07-2009 Through 10-07-2009",

year = "2009",

doi = "10.1007/978-3-642-02982-0_25",

language = "English",

volume = "5644",

pages = "380--385",

journal = "Lecture Notes in Computer Science",

issn = "0302-9743",

publisher = "Physica-Verlag",

}

TY - GEN

T1 - Robust Adaptable Video Copy Detection

AU - Assent, Ira

AU - Kremer, Hardy

N1 - Conference code: 11

PY - 2009

Y1 - 2009

N2 - Video copy detection should be capable of identifying video copies subject to alterations e.g. in video contrast or frame rates. We propose a video copy detection scheme that allows for adaptable detection of videos that are altered temporally (e.g. frame rate change) and/or visually (e.g. change in contrast). Our query processing combines filtering and indexing structures for efficient multistep computation of video copies under this model. We show that our model successfully identifies altered video copies and does so more reliably than existing models.

AB - Video copy detection should be capable of identifying video copies subject to alterations e.g. in video contrast or frame rates. We propose a video copy detection scheme that allows for adaptable detection of videos that are altered temporally (e.g. frame rate change) and/or visually (e.g. change in contrast). Our query processing combines filtering and indexing structures for efficient multistep computation of video copies under this model. We show that our model successfully identifies altered video copies and does so more reliably than existing models.

U2 - 10.1007/978-3-642-02982-0_25

DO - 10.1007/978-3-642-02982-0_25

M3 - Conference article in Journal

SN - 0302-9743

VL - 5644

SP - 380

EP - 385

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

T2 - International Symposium on Spatial and Temporal Databases (SSTD 2009)

Y2 - 8 July 2009 through 10 July 2009

ER -

Robust Adaptable Video Copy Detection

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