Image retrieval based on visual attention model-Reference-Cited by-同舟云学术

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Image retrieval based on visual attention model

Published:2012 Issue: Volume:30 Page:542-545
ISSN:1877-7058
Container-title:Procedia Engineering
language:en
Short-container-title:Procedia Engineering

Author:

Acharya Satrajit,Devi M.R.Vimala

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference9 articles.

1. Oge Marques, “An attention-driven model for grouping similar images with image retrieval applications”, Eurasip Journal on Advances in Signal Processing, Special Issue on Image Perception, 2007, Vol. 2007, Article ID 43450, 17 pages.

2. U. Rutishauser, D. Walther, C. Koch, and P. Perona, “Is bottom-up attention useful for object recognition?”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR ‘04), Washington, DC, USA, June-July 2004, vol. 2, pp. 37-44.

3. A. Bamidele, F.W. M. Stentiford, and J. Morphett, “An attention-based approach to content-based image retrieval”, BT Technology Journal, 2004, vol. 22, no. 3, pp. 151-160

4. Ying-Hua Lu, Xiao-Hua Zhang, Jun Kong, Xue-Feng Wang, “A Novel Content-Based Image Retrieval Approach Based On Attention-Driven Model”, Proceedings of International Conference on Wavelet Analysis and Pattern recognition, Beijing, China, 2-4 Nov. 2007.

5. L. Itti and C. Koch, “Feature combination strategies for saliency-based visual attention systems”, Journal of Electronic Imaging, 10(1):161-169, 2001.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Saliency Inside: Learning Attentive CNNs for Content-Based Image Retrieval;IEEE Transactions on Image Processing;2019-09

2. Two-stream Attentive CNNs for Image Retrieval;Proceedings of the 25th ACM international conference on Multimedia;2017-10-23

3. Uncovering the Effect of Visual Saliency on Image Retrieval;Communications in Computer and Information Science;2017

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