Real-Time Video Sequences Matching Using the Spatio-Temporal Fingerprint

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00167970" target="_blank" >RIV/68407700:21230/10:00167970 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Real-Time Video Sequences Matching Using the Spatio-Temporal Fingerprint

Popis výsledku v původním jazyce

This paper proposes a method that can be used for matching of video streams or fast seeking of a short video sequence in a long video stream. According to real-time run requirements, the developed method is based on the brightness profile processing of significant image regions. Output from the algorithm is a one dimensional time-discretized vector of video sequence fingerprints that contains information about temporal and spatial video content. These fingerprints are appropriate to be stored in databases because of their significantly lower size in comparison to the source video. Having analyzed real video data, we show that reliable video sequence matching using introduced method can be achieved by using a video fingerprint data flow of 32 bytes persecond of video stream. This feature is very important for image processing systems with reduced data transfer bandwidth or low storage capacity, e.g. for the purpose of ideo-based TV channels rating measurement.

Název v anglickém jazyce

Real-Time Video Sequences Matching Using the Spatio-Temporal Fingerprint

Popis výsledku anglicky

This paper proposes a method that can be used for matching of video streams or fast seeking of a short video sequence in a long video stream. According to real-time run requirements, the developed method is based on the brightness profile processing of significant image regions. Output from the algorithm is a one dimensional time-discretized vector of video sequence fingerprints that contains information about temporal and spatial video content. These fingerprints are appropriate to be stored in databases because of their significantly lower size in comparison to the source video. Having analyzed real video data, we show that reliable video sequence matching using introduced method can be achieved by using a video fingerprint data flow of 32 bytes persecond of video stream. This feature is very important for image processing systems with reduced data transfer bandwidth or low storage capacity, e.g. for the purpose of ideo-based TV channels rating measurement.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/GD102%2F09%2FH082" target="_blank" >GD102/09/H082: Senzory a inteligentní senzorové systémy</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

MELECON 2010, 15th IEEE Mediterranian Electromechanical Conference, Valletta, Malta

ISBN

978-1-4244-5794-6

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

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Název nakladatele

IEEE Malta Section, Region 8

Místo vydání

Malta (Valletta)

Místo konání akce

Valletta

Datum konání akce

25. 4. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000286988200167