Content-based image retrieval by combining convolutional neural networks and sparse representation-Reference-Cited by-同舟云学术

Content-based image retrieval by combining convolutional neural networks and sparse representation

Published:2019-03-07 Issue:15 Volume:78 Page:20895-20912
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Sezavar Amir,Farsi Hassan^ORCID,Mohamadzadeh Sajad

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-019-7321-1.pdf

Reference39 articles.

1. Arel I, Rose DC, Karnowski TP (2010) Deep machine learning - a new frontier in artificial intelligence research [research frontier]. IEEE Comput Intell Mag 5:13–18

2. Chun YD, Kim NC, Jang IH (2008) Content-based image retrieval using multi-resolution color and texture features. IEEE Trans Multimedia 10(6):1073–1084

3. Coral dataset, last referred on June 2009, Available at http://wang.ist.psu.edu/docs/related/

4. Farsi H, Mohamadzadeh S (2013) Colour and texture feature-based image retrieval by using Hadamard matrix in discrete wavelet transform. IET Image Process 7(3):212–218

5. Farsi H, Mohamadzadeh S (2013) Combining Hadamard matrix, discrete wavelet transform and DCT features based on PCA and KNN for image retrieval. Majlesi Journal of Electrical Engineering 7(1):9–15

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