DocumentCode :
3582871
Title :
Contemporary integration of content based image retrieval
Author :
Shaikh, Riaz Ahmed ; Deep, Samundra ; Jian-Ping Li ; Kumar, Kamlesh ; Khan, Asif ; Memon, Imran
Author_Institution :
Sch. of Comput. Sci. & Eng., UESTC, Chengdu, China
fYear :
2014
Firstpage :
301
Lastpage :
304
Abstract :
Content Based Image Retrieval (CBIR) has been a challenging research area among researchers of both industries and academic institutions. Human can judge and respond by memory to obtain and locate the target image and relate it by specific object, but for computer vision it´s a challenging issue to retrieve image from complex database that is difficult to balance with an efficient algorithm. Simultaneous situation and complex object has been always a big challenge to retrieve an object from image or query image from database. In this paper, we propose to combine Neural Network to sense a specific objective image that is content based and easily retrieving from complex database.
Keywords :
computer vision; content-based retrieval; image retrieval; neural nets; CBIR contemporary integration; computer vision; content based image retrieval; image querying; neural network; Biological neural networks; Computer science; Feature extraction; Image color analysis; Image retrieval; Complex Database; Computer Vision; Content Based Image Retrieval; Feature Extraction; Neural Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2014 11th International Computer Conference on
Print_ISBN :
978-1-4799-7207-4
Type :
conf
DOI :
10.1109/ICCWAMTIP.2014.7073413
Filename :
7073413
Link To Document :
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