A Biologically Inspired Framework for Efficient Video Processing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Improving the computational efficiency of video processing tasks has become a dominant issue with the ultimate goal of real-time processing. One methodology to achieve efficient processing on still images is the use of a hexagonal image representation, which permits efficient implementation of feature extraction. To enhance the efficiency of video processing tasks, this paper presents a hexagonal pixel-based framework for video processing, where a biologically inspired eye tremor approach is used for efficient application of processing algorithms. We demonstrate that this eye tremor approach is significantly faster than the use of conventional spiral convolution or the use of a neighbourhood address look-up table for hexagonal based video processing.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages89-94
Number of pages6
Publication statusPublished - 27 Aug 2014
EventIrish Machine Vision and Imaging Processing conference - University of Ulster, Magee
Duration: 27 Aug 2014 → …

Conference

ConferenceIrish Machine Vision and Imaging Processing conference
Period27/08/14 → …

Fingerprint

Processing
Computational efficiency
Convolution
Feature extraction
Pixels

Cite this

@inproceedings{ff58964da7b5425a8e6746de80b1d06c,
title = "A Biologically Inspired Framework for Efficient Video Processing",
abstract = "Improving the computational efficiency of video processing tasks has become a dominant issue with the ultimate goal of real-time processing. One methodology to achieve efficient processing on still images is the use of a hexagonal image representation, which permits efficient implementation of feature extraction. To enhance the efficiency of video processing tasks, this paper presents a hexagonal pixel-based framework for video processing, where a biologically inspired eye tremor approach is used for efficient application of processing algorithms. We demonstrate that this eye tremor approach is significantly faster than the use of conventional spiral convolution or the use of a neighbourhood address look-up table for hexagonal based video processing.",
author = "B Gardiner and SA Coleman and BW Scotney",
year = "2014",
month = "8",
day = "27",
language = "English",
pages = "89--94",
booktitle = "Unknown Host Publication",

}

Gardiner, B, Coleman, SA & Scotney, BW 2014, A Biologically Inspired Framework for Efficient Video Processing. in Unknown Host Publication. pp. 89-94, Irish Machine Vision and Imaging Processing conference, 27/08/14.

A Biologically Inspired Framework for Efficient Video Processing. / Gardiner, B; Coleman, SA; Scotney, BW.

Unknown Host Publication. 2014. p. 89-94.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A Biologically Inspired Framework for Efficient Video Processing

AU - Gardiner, B

AU - Coleman, SA

AU - Scotney, BW

PY - 2014/8/27

Y1 - 2014/8/27

N2 - Improving the computational efficiency of video processing tasks has become a dominant issue with the ultimate goal of real-time processing. One methodology to achieve efficient processing on still images is the use of a hexagonal image representation, which permits efficient implementation of feature extraction. To enhance the efficiency of video processing tasks, this paper presents a hexagonal pixel-based framework for video processing, where a biologically inspired eye tremor approach is used for efficient application of processing algorithms. We demonstrate that this eye tremor approach is significantly faster than the use of conventional spiral convolution or the use of a neighbourhood address look-up table for hexagonal based video processing.

AB - Improving the computational efficiency of video processing tasks has become a dominant issue with the ultimate goal of real-time processing. One methodology to achieve efficient processing on still images is the use of a hexagonal image representation, which permits efficient implementation of feature extraction. To enhance the efficiency of video processing tasks, this paper presents a hexagonal pixel-based framework for video processing, where a biologically inspired eye tremor approach is used for efficient application of processing algorithms. We demonstrate that this eye tremor approach is significantly faster than the use of conventional spiral convolution or the use of a neighbourhood address look-up table for hexagonal based video processing.

M3 - Conference contribution

SP - 89

EP - 94

BT - Unknown Host Publication

ER -