Exemplar-based logo and trademark recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
http://link.springer.com/content/pdf/10.1007/s00138-015-0695-9.pdf
Reference49 articles.
1. Malisiewicz, T., Gupta, A., Efros, A.A.: Ensemble of exemplar-svms for object detection and beyond. In: Proceedings of the International Conference on Computer Vision, pp. 89–96. IEEE (2011)
2. Gori, M., Maggini, M., Marinai, S., Sheng, J., Soda, G.: Edge-backpropagation for noisy logo recognition. Pattern Recogn. 36(1), 103–110 (2003)
3. Bagheri, M.A., Gao, Q.: Logo recognition based on a novel pairwise classification approach. In: Proceedings of the International Symposium on Artificial Intelligence and Signal Processing, pp. 316–321. IEEE (2012)
4. Nan, Z.: Vehicle-logo recognition based on classifier combinations. In: Proceedings of the International Conference on System Science, Engineering Design and Manufacturing Informatization, pp. 278–281. IEEE (2012)
5. Bagheri, M.A., Gao, Q., Escalera, S.: Logo recognition based on the dempster-shafer fusion of multiple classifiers. In: Advances in Artificial Intelligence. Lecture Notes in Computer Science, vol. 7884, pp. 1–12. Springer, Berlin (2013)
Cited by 5 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 Novel Shape Representation Method for Complex Trademark Image;IEEE Access;2019
2. Extraction and Recognition of Shoe Logos with a Wide Variety of Appearance Using Two-Stage Classifiers;IEICE Transactions on Information and Systems;2018-05-01
3. Comparative Analysis of the Importance of Trademarks in Brand Value Management in the V4 Countries;LECT N MANAG SCI;2017
4. Detection of the Innovative Logotypes on the Web Pages;Artificial Intelligence and Soft Computing;2017
5. A Text Recognition Augmented Deep Learning Approach for Logo Identification;Computer Vision, Graphics, and Image Processing;2017
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