Original paper
Interactive image and video classification using compressively sensed images
Published: Oct 1, 2017
Abstract
The paper investigates the use of compressively sensed images in interactive image classification. To speed-up the classification process and avoid costly reconstruction, we consider the use of a feed-forward neural network in a reduced complexity image domain. The interactive image and video classification systems have been used for real-time demonstrations that have been effectively utilized in outreach activities for attracting middle-school...
Paper Details
Title
Interactive image and video classification using compressively sensed images
Published Date
Oct 1, 2017
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