Multi-Graph Semi-Supervised Learning for Video Semantic Feature Extraction

Author(s):  
Meng Wang ◽  
Xian-Sheng Hua ◽  
Xun Yuan ◽  
Yan Song ◽  
Li-Rong Dai
2013 ◽  
Vol 347-350 ◽  
pp. 3537-3540
Author(s):  
Hai Yun Lin ◽  
Yu Jiao Wang ◽  
Jian Chun Cai

In respect of the classification of current image retrieval technology and the existing issues, the paper put forward a method designed for image semantic feature extraction based on artificial intelligence. The new method has solved the tough problem of image semantic feature extraction, by fusing fuzzy logic, genetic algorithm and artificial neural network altogether, which greatly improved the efficiency and accuracy of image retrieval.


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