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http://dx.doi.org/10.9717/kmms.2020.23.6.756

Image Label Prediction Algorithm based on Convolution Neural Network with Collaborative Layer  

Lee, Hyun-ho (Department of Computer Engineering, Dankook University)
Lee, Won-jin (Research Institute of Information and Culture Technology, Dankook University)
Publication Information
Journal of Korea Multimedia Society / v.23, no.6, 2020 , pp. 756-764 More about this Journal
Abstract
A typical algorithm used for image analysis is the Convolutional Neural Network(CNN). R-CNN, Fast R-CNN, Faster R-CNN, etc. have been studied to improve the performance of the CNN, but they essentially require large amounts of data and high algorithmic complexity., making them inappropriate for small and medium-sized services. Therefore, in this paper, the image label prediction algorithm based on CNN with collaborative layer with low complexity, high accuracy, and small amount of data was proposed. The proposed algorithm was designed to replace the part of the neural network that is performed to predict the final label in the existing deep learning algorithm by implementing collaborative filtering as a layer. It is expected that the proposed algorithm can contribute greatly to small and medium-sized content services that is unsuitable to apply the existing deep learning algorithm with high complexity and high server cost.
Keywords
Collaborative Filtering; Convolution Neural Network; Image Label Prediction;
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Times Cited By KSCI : 4  (Citation Analysis)
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