A novel image retrieval technique based on semi supervised clustering

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

Author(s):  
Dr. S. Thavamani ◽  

Duplicated images cause several problems in online sites, so these demand special attention. To address the disadvantages of frames copy detection, the Hybrid Method of Detecting Duplicate Image by Using Image Retrieval Technique in Data Mining was proposed. We use the new method of eliminating duplicates in this example. To address the disadvantages of frames copy detection, the Hybrid Method of Detecting Duplicate Image by Using Image Retrieval Technique in Data Mining was proposed. The new method of eliminating duplicates in this example has proposed. Using this method, you can get rid of frames that aren't relevant to the video. This makes for more precise and faster video retrieval with fewer duplicates. As a back end, this technique is implemented in C# and SQL. The findings are put to the test and compared to the current SIFT process. The results showed that the output improved accuracy while reducing storage space, computational time, and memory use.


2016 ◽  
Vol 75 (20) ◽  
pp. 12983-12997 ◽  
Author(s):  
Youngeun An ◽  
Jimin Lee ◽  
Jongan Park

2012 ◽  
Vol 39 (5) ◽  
pp. 4915-4926 ◽  
Author(s):  
Umarani Jayaraman ◽  
Surya Prakash ◽  
Phalguni Gupta

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