Fast and Scalable 2D Convolutions and Cross-correlations for Processing Image Databases and Videos on CPUs
Published: Mar 1, 2020
Abstract
The dominant use of Convolutional Neural Networks (CNNs) in several image and video analysis tasks necessitates a careful re-evaluation of the underlying software libraries for computing them for large-scale image and video databases. We focus our attention on developing methods that can be applied to large image databases or videos of large image sizes. We develop a method that maximizes throughput through the use of vector-based memory I/O and...
Paper Details
Title
Fast and Scalable 2D Convolutions and Cross-correlations for Processing Image Databases and Videos on CPUs
Published Date
Mar 1, 2020
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