DocumentCode :
2169951
Title :
Image Query Based Search Engine Using Image Content Retrieval
Author :
Ragatha, D.V. ; Yadav, Divakar
Author_Institution :
Jaypee Inst. of Inf. Technol., Noida, India
fYear :
2012
fDate :
28-30 March 2012
Firstpage :
283
Lastpage :
286
Abstract :
In this paper we put forward a model for a search engine where an image can be uploaded from the local database of the user to retrieve information about it from the internet. This is similar to the traditional keyword search used by most of the search engines with the only difference being that here an image is uploaded as a query rather than textual keywords. The fact that the image being used as query makes the search ever more complicated as the content of the image needs to be analysed and matched to find the information corresponding to the uploaded image. This is most apt for searching information about images of historical monuments, places or any specific place or thing that is identifiable.
Keywords :
Internet; content-based retrieval; image retrieval; search engines; visual databases; Internet; historical monuments; image content retrieval; image query based search engine; information retrieval; local database; traditional keyword search; CCV matrix; Change detection; Content Based Image Retreival; Feature Detection; Sobel Edge Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2012 UKSim 14th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4673-1366-7
Type :
conf
DOI :
10.1109/UKSim.2012.48
Filename :
6205462
Link To Document :
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