A Fast Annotation Model Based on Visual Concept Distribution

2013 ◽  
Vol 333-335 ◽  
pp. 988-991
Author(s):  
Dong Lin Cao ◽  
Xian Ming Lin ◽  
Da Zhen Lin

Image annotation is one of the important technologies in image retrieval and semantic analysis. To overcome the estimation and efficiency problem in CMRM model, we proposed a Visual Concept Distribution based annotation model which estimates the probability through the Visual Concept Set. Experiment results shows that our approach outperforms three classical annotation models (CMRM, CRM and PLSA-WORDS) and closes to the complicated PLSA-FUSION model.

Author(s):  
Leonardo Castro Botega ◽  
Allan Cesar Moreira de Oliveira ◽  
Valdir Amancio Pereira Junior ◽  
Jordan Ferreira Saran ◽  
Lucas Zanco Ladeira ◽  
...  

2021 ◽  
Vol 36 ◽  
pp. 102387
Author(s):  
Wenxin Chen ◽  
Cheng Xu ◽  
Manlin Chen ◽  
Kai Jiang ◽  
Kangli Wang

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 210695-210708
Author(s):  
Haiyu Song ◽  
Jian Yun ◽  
Houjie Li ◽  
Mingxiao Zheng ◽  
Jinxing Yao ◽  
...  

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