Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Wireless Personal Communications
Erschienen in: Wireless Personal Communications 2/2018

18.01.2018

A Novel Web Image Retrieval Method

verfasst von: Wenjin Li

Erschienen in: Wireless Personal Communications | Ausgabe 2/2018

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Traditional image retrieval methods, make use of color, shape and texture features, are based on local image database. But in the condition of which much more images are available on the internet, so big an image database includes various types of image information. In this paper, we introduce an intellectualized image retrieval method based on internet, which can grasp images on Internet automatically using web crawler and build the feature vector in local host. The method involves three parts: the capture-node, the manage-node, and the calculate-node. The calculate-node has two functions: feature extract and similarity measurement. According to the results of our experiments, we found the proposed method is simple to realization and has higher processing speed and accuracy.
Vorheriger Artikel Energy Efficient Raptor Codes for Error Control in Wireless Body Area Networks
Nächster Artikel Secure Disintegration Protocol for Privacy Preserving Cloud Storage

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Binderberger, M. O., Mehrotra, S., Chakrabarti, K., & Porkaew, K. (2000). WEBMARS: A multimedia search engine. In Proceedings of the SPIE electronic imaging 2000: Internet imaging (Vol. 2000, pp. 23–38), San Jose, CA, USA.
2.
Berry, M. W., Wang, P., & Yang, Y. (2003). Mining longitudinal web queries: Trends and patterns. Journal of the American Society for Information Science and Technology, 54(8), 43–758.
3.
Zheng, Z. G., Jeong, H. Y., Huang, T., & Shu, J. B. (2017). KDE based outlier detection on distributed data streams in multimedia network. Multimedia Tools and Applications, 76(17), 18027–18045.CrossRef
4.
Liu, S., Fu, W., & Deng, H. (2013). Distributional fractal creating algorithm in parallel environment. International Journal of Distributed Sensor Networks, 9(9), 1–10.
5.
Liu, S., Zhang, Z., & Qi, L. (2016). A fractal image encoding method based on statistical loss used in agricultural image compression. Multimedia Tools and Applications, 75(23), 853–856.
6.
Zheng, Z. G., Wang, P., & Liu, J. (2015). Real-time big data processing framework: Challenges and solutions. Applied Mathematics & Information Sciences, 9(3), 2217–2237.MathSciNet
7.
Kherfi, M. L., Ziou, D., & Bernardi, A. (2008). Image retrieval from the World Wide Web: Issues, techniques, and system. ACM Computing Surveys, 36(1), 35–67.CrossRef
8.
Zheng, L., Bo, Y., & Zhang, N. (2009). An improved link selection algorithm for vertical search engine. In Proceedings of the 1st international conference on information science and engineering (pp. 778–781), Nanjing, China. IEEE.
9.
Zheng, R., Wen, S. L., Zhang, Q., Jin, H., & Xie, X. (2011). Compound face image retrieval based on vertical web image retrieval. In Proceedings of the sixth annual China grid conference (pp. 130–135), Liaoning, China. IEEE.
10.
Negrel, R., Picard, D., & Gosselin, P. H. (2013). Web-scale image retrieval using compact tensor aggregation of visual descriptors. IEEE Multimedia, 20(3), 24–33.CrossRef
11.
Miguelena, B. A. M., Rivera, G. J. H., & Hernandez, A. M. (2014). Garabato: A proposal of a sketch-based image retrieval system for the web. In Proceedings of the 2014 international conference on electronics, communications and computers (CONIELECOMP) (pp. 26–28), Cholula, Mexico. IEEE.
12.
Bhagat, A., & Atique, M. (2014). Web based medical image retrieval system using fuzzy connectedness image segmentation and geometric moments. In Proceedings of the 2014 international conference on computational science and computational intelligence (CSCI) (pp. 208–214), Las Vegas, NV, USA. IEEE.
13.
Wan, Y., & Tong, H. (2008). URL assignment algorithm of crawler in distributed method based on hash. In Proceedings of the IEEE international conference on networking, sensing and control (pp. 1632–1635), Sanya, China. IEEE.
14.
Guerriero, A., Ragni, F., & Martines, C. (2010) A dynamic URL assignment method for parallel web crawler. In Proceedings of the 2010 IEEE international conference on computational intelligence for measurement systems and applications (CIMSA) (pp. 119–123), Taranto, Italy. IEEE.
15.
Meng, F. J., & Guo, B. L. (2011). Image retrieval by using local distribution features of interest points and multiple-instance learning. Journal of Xidian University, 32(2), 256–259.
16.
Hoangc, N. D., Thuong, L. T., Tuan, D. H., Cao, B. T., & Ty, N. X. (2014). Image retrieval using contourlet based interest points. In Proceedings of the 10th international conference on information science, signal processing and their applications (ISSPA 2010) (pp. 93–96), Kuala Lumpur, Malaysia. IEEE.
17.
Fu, X., & Zeng, J. X. (2014). A novel image retrieval method based on interest points matching and distribution. Chinese Journal of Laser, 37(3), 774–778.
18.
19.
Liu, S., Fu, W., & He, L. (2017). Distribution of primary additional errors in fractal encoding method. Multimedia Tools and Applications, 76(4), 5787–5802.CrossRef
Metadaten
Titel
A Novel Web Image Retrieval Method
verfasst von
Wenjin Li
Publikationsdatum
18.01.2018
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2018
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-018-5283-7

Weitere Artikel der Ausgabe 2/2018

Wireless Personal Communications 2/2018 Zur Ausgabe

OriginalPaper

Secure Multi-hop Data Transmission in Cognitive Radio Networks Under Attack in the Physical Layer

OriginalPaper

Computer Aided Segmentation of Blockages in Coronary Heart Images Using Canfis Classifier

OriginalPaper

Energy Efficient Message Priority Based Routing Protocol for Aquaculture Applications Using Underwater Sensor Network

OriginalPaper

Performance Analysis of 3D Localization for a Launch Vehicle Using TOA, AOA, and TDOA

OriginalPaper

Fine-Grained Video Traffic Classification Based on QoE Values

OriginalPaper

Sub-Band Filter in Universal Filtered Multi-Carrier Transceiver for Cognitive Radio Network

Neuer Inhalt

    Bildnachweise