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Combining Convolutional Neural Network and Markov Random Field for Semantic Image Retrieval
2018
Advances in Multimedia
With the rapidly growing number of images over the Internet, efficient scalable semantic image retrieval becomes increasingly important. This paper presents a novel approach for semantic image retrieval by combining Convolutional Neural Network (CNN) and Markov Random Field (MRF). As a key step, image concept detection, that is, automatically recognizing multiple semantic concepts in an unlabeled image, plays an important role in semantic image retrieval. Unlike previous work that uses
doi:10.1155/2018/6153607
fatcat:tgiiawr63bgbbk23mxqptjoiky