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