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BIOLOGICALLY MOTIVATED SPIRAL ARCHITECTURE FOR FAST VIDEO PROCESSING

Jing, Min, Coleman, SA, Bryan, Scotney and McGinnity, TM (2015) BIOLOGICALLY MOTIVATED SPIRAL ARCHITECTURE FOR FAST VIDEO PROCESSING. In: The International Conference on Image Processing (ICIP), Quebec City, Canada. IEEE. 5 pp. [Conference contribution]

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Abstract

Fast image processing is a key element in achieving real-time image and video analysis. The spiral addressing scheme has been an efficient tool for hexagonal image processing (HIP), whereby the image pixel indices are stored in a one-dimensional vector that enables fast processing. Unlike HIP, which requires a complex resampling scheme, we present a novel “squiral” (square spiral) image processing (SIP) framework that provides a spiral addressing scheme for direct application to standard square pixel-based images. A SIP-based non-overlapping convolution technique is developed by simulating the eye tremor phenomenon of the human visual system to accelerate computation in feature extraction. Furthermore, we deploy the proposed simulated eye tremor technique on a sequence of video frames. The preliminary results based on two action video clips demonstrate the potential of the SIP-based eye tremor model to facilitate fast video processing.

Item Type:Conference contribution (Speech)
Keywords:spiral image processing, spiral addressing, eye tremor, non-overlapping convolution, video processing
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:32255
Deposited By: Dr Min Jing
Deposited On:04 Sep 2015 09:07
Last Modified:04 Sep 2015 09:07

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