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.
|Title of host publication||Unknown Host Publication|
|Number of pages||6|
|Publication status||Published (in print/issue) - 27 Aug 2014|
|Event||Irish Machine Vision and Imaging Processing conference - University of Ulster, Magee|
Duration: 27 Aug 2014 → …
|Conference||Irish Machine Vision and Imaging Processing conference|
|Period||27/08/14 → …|