Spatio-temporal filters in video stream processing

Marek Szczepanski

doi:10.1007/978-3-642-20320-6_44

Spatio-temporal filters in video stream processing

Marek Szczepanski

Department of Data Science and Engineering (RAU/RAU4)

Research output: Contribution to journal › Review article › peer-review

5 Citations (Scopus)

Abstract

An overview of real-time video filtering techniques was presented in this paper. The extension of standard techniques based on temporal Gaussian combined with Fast Digital Paths Approach [8] was presented. Presented technique provides excellent noise suppression ability especially for low light sequences with low computational complexity.

Original language	English
Pages (from-to)	421-430
Number of pages	10
Journal	Advances in Intelligent and Soft Computing
Volume	95
Issue number	4
DOIs	https://doi.org/10.1007/978-3-642-20320-6_44
Publication status	Published - 1 May 2011

ASJC Scopus subject areas

General Computer Science

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10.1007/978-3-642-20320-6_44

Cite this

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title = "Spatio-temporal filters in video stream processing",

abstract = "An overview of real-time video filtering techniques was presented in this paper. The extension of standard techniques based on temporal Gaussian combined with Fast Digital Paths Approach [8] was presented. Presented technique provides excellent noise suppression ability especially for low light sequences with low computational complexity.",

author = "Marek Szczepanski",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2011.",

year = "2011",

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doi = "10.1007/978-3-642-20320-6\_44",

language = "English",

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T1 - Spatio-temporal filters in video stream processing

AU - Szczepanski, Marek

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2011.

PY - 2011/5/1

Y1 - 2011/5/1

N2 - An overview of real-time video filtering techniques was presented in this paper. The extension of standard techniques based on temporal Gaussian combined with Fast Digital Paths Approach [8] was presented. Presented technique provides excellent noise suppression ability especially for low light sequences with low computational complexity.

AB - An overview of real-time video filtering techniques was presented in this paper. The extension of standard techniques based on temporal Gaussian combined with Fast Digital Paths Approach [8] was presented. Presented technique provides excellent noise suppression ability especially for low light sequences with low computational complexity.

UR - https://www.scopus.com/pages/publications/84907519158

U2 - 10.1007/978-3-642-20320-6_44

DO - 10.1007/978-3-642-20320-6_44

M3 - Review article

AN - SCOPUS:84907519158

SN - 1867-5662

VL - 95

SP - 421

EP - 430

JO - Advances in Intelligent and Soft Computing

JF - Advances in Intelligent and Soft Computing

IS - 4

ER -

Spatio-temporal filters in video stream processing

Abstract

ASJC Scopus subject areas

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