Is visual saliency useful for content-based image retrieval?-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Is visual saliency useful for content-based image retrieval?

Published:2017-07-31 Issue:11 Volume:77 Page:13983-14006
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Wu Yanzhang,Liu Hongzhe,Yuan Jiazheng,Zhang Qikun

Funder

The National Natural Science Foundation of China

Beijing Natural Science Foundation

Funding Project for Academic Human Resources Development in Beijing Union University

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://link.springer.com/article/10.1007/s11042-017-5001-6/fulltext.html

Reference65 articles.

1. Achanta R, Hemami S, Estrada F (2009) Frequency-tuned salient region detection. Comput Vis Pattern Recognit (CVPR) 1597–1604

2. Arandjelović R, Zisserman A (2012) Three things everyone should know to improve object retrieval. In: 2012 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 2911–2918

3. Awad D, Courboulay V, Revel A (2012) Saliency filtering of sift detectors: application to cbir. In: Advanced concepts for intelligent vision systems. Springer, Berlin, pp 290–300

4. Borji A, Itti L (2013) State-of-the-art in visual attention modeling. IEEE Trans Pattern Anal Mach Intell 35:185–207

5. Cardillo FA, Amato G, Falchi F (2013) Experimenting a visual attention model in the context of cbir systems. In: IIR. Citeseer, pp 45–56

Cited by 9 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. A multi-scale multi-level deep descriptor with saliency for image retrieval;Multimedia Tools and Applications;2022-08-26

2. Content Based Medical Image Retrieval Based on Salient Regions Combined with Deep Learning;Mobile Networks and Applications;2021-04-17

3. Dynamic Mode Decomposition based salient edge/region features for content based image retrieval;Multimedia Tools and Applications;2021-02-07

4. Non-convex non-local reactive flows for saliency detection and segmentation;Journal of Computational and Applied Mathematics;2020-10

5. Automatic trimap generation and artifact reduction in alpha matte using unknown region detection;Expert Systems with Applications;2019-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3