Spatio-Temporal Filters in Video Stream Processing

Literature examining the role of visual memory in vocabulary development during childhood is limited, despite it being well known that preverbal infants rely on their visual abilities to form memories and learn new words. Hence, this systematic review and meta-analysis utilised a cognitive neuroscience perspective to examine the association between visual memory and vocabulary development, including moderators such as age and task selection, in neurotypical children aged 2- to 12-years. Visual memory tasks were classified as spatio-temporal span tasks, visuo-perceptual or spatial concurrent array tasks, and executive judgment tasks. Visuo-perceptual concurrent array tasks expected to rely on ventral visual stream processing showed a moderate association with vocabulary, while tasks measuring spatio-temporal spans expected to be associated with dorsal visual stream processing, and executive judgments (central executive), showed only weak correlations with vocabulary. These findings have important implications for all health professionals and researchers interested in language, as they can support the development of more targeted language learning interventions that require ventral visual stream processing.

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Efficient pre-processing algorithms for an FPGA based in-camera video-stream processing system for industry inspection

CCECE '97. Canadian Conference on Electrical and Computer Engineering. Engineering Innovation: Voyage of Discovery. Conference Proceedings ◽

10.1109/ccece.1997.608373 ◽

2002 ◽

Cited By ~ 2

Author(s):

S.H. Hajimowlana ◽

G.A. Jullien ◽

R. Muscedere ◽

J.W. Roberts

Keyword(s):

Stream Processing ◽

Processing System ◽

Video Stream ◽

Processing Algorithms

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An Extensibility Approach for Spatio-temporal Stream Processing Using Microsoft StreamInsight

Advances in Spatial and Temporal Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-642-22922-0_38 ◽

2011 ◽

pp. 496-501 ◽

Cited By ~ 8

Author(s):

Jeremiah Miller ◽

Miles Raymond ◽

Josh Archer ◽

Seid Adem ◽

Leo Hansel ◽

...

Keyword(s):

Stream Processing ◽

Spatio Temporal

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Real-Time Detection of Road Signs

Journal of Electronic Commerce in Organizations ◽

10.4018/jeco.2015070103 ◽

2015 ◽

Vol 13 (3) ◽

pp. 36-46 ◽

Cited By ~ 1

Author(s):

Abderrahim Salhi ◽

Brahim Minaoui ◽

Mohamed Fakir ◽

Mohammed Sajieddine

Keyword(s):

Real Time ◽

Performance Improvement ◽

Programming Language ◽

Detection Method ◽

Stream Processing ◽

Video Stream ◽

Identification System ◽

Polygonal Approximation ◽

Road Signs ◽

Processing Module

In order to realize an identification system of traffic road signs in real time, the authors have developed a performed detection method of these signs in real time. This method, presented in this paper, is implemented in two modules. The first is a pre-processing module based on video stream processing technics and the second, based on the polygonal approximation digital curves, identifies areas that may contain road signs using the particularity of their colors and contours. All algorithms implemented in this work are developed under the programming language C / C ++ using OpenCV library. The results of tests, realized on real videos of the traffic signs, show the performance improvement of the method developed in this work in terms of rate and speed of detection.

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