Content-Based Image Retrieval Improved by Incorporating Semantic Annotation via Query Expansion

Author(s):  
Guoqing Xu ◽  
Jian Li ◽  
Chunyu Xu ◽  
Qi Wang
2018 ◽  
Vol 42 (2) ◽  
pp. 219-229
Author(s):  
Mawloud Mosbah

In this paper, we address the enhancing of Google Scholar engine, in the context of text retrieval, through two mechanisms related to the interrogation protocol of that query expansion and reformulation. The both schemes are applied with re-ranking results using a pseudo relevance feedback algorithm that we have proposed previously in the context of Content based Image Retrieval (CBIR) namely Majority Voting Re-ranking Algorithm (MVRA). The experiments conducted using ten queries reveal very promising results in terms of effectiveness.


2016 ◽  
Vol 49 ◽  
pp. 37-45 ◽  
Author(s):  
Ashnil Kumar ◽  
Shane Dyer ◽  
Jinman Kim ◽  
Changyang Li ◽  
Philip H.W. Leong ◽  
...  

2009 ◽  
Vol 129 (1) ◽  
pp. 94-102 ◽  
Author(s):  
Thurdsak Leauhatong ◽  
Kazuhiko Hamamoto ◽  
Kiyoaki Atsuta ◽  
Shozo Kondo

2017 ◽  
Vol 5 (3) ◽  
pp. 54
Author(s):  
MOHAMMED ILIAS SHAIK ◽  
CHAUHAN DINESH ◽  
ESAPALLI SRINIVAS ◽  
PADIGE VINEETH ◽  
◽  
...  

2009 ◽  
Vol 2 (3) ◽  
pp. 187-199 ◽  
Author(s):  
Huiyu Zhou ◽  
Abdul Sadka ◽  
Mohammad Swash ◽  
Jawid Azizi ◽  
Abubakar Umar

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