Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Cover of the book

2017 | OriginalPaper | Chapter

A Comparative Study for Known Item Visual Search Using Position Color Feature Signatures

Authors : Jakub Lokoč, David Kuboň, Adam Blažek

Published in: MultiMedia Modeling

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

According to the results of the Video Browser Showdown competition, position-color feature signatures proved to be an effective model for visual known-item search tasks in BBC video collections. In this paper, we investigate details of the retrieval model based on feature signatures, given a state-of-the-art known item search tool – Signature-based Video Browser. We also evaluate a preliminary comparative study for three variants of the utilizes distance measures. In the discussion, we analyze logs and provide clues for understanding the performance of our model.

Dont have a licence yet? Then find out more about our products and how to get one now:

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!

inform now

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!

inform now

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!

inform now
next chapter A Novel Affective Visualization System for Videos Based on Acoustic and Visual Features
Footnotes
1
Specifying sketch circle sizes was rather confusing for users. In practice, users were placing multiple circles of the same color to capture large color areas.
 
2
17 out of 33 participant received a university education in computer science.
 
Literature
1.
Barthel, K.U., Hezel, N., Mackowiak, R.: Navigating a graph of scenes for exploring large video collections. In: Tian, Q., Sebe, N., Qi, G.-J., Huet, B., Hong, R., Liu, X. (eds.) MMM 2016. LNCS, vol. 9517, pp. 418–423. Springer, Heidelberg (2016). doi:10.​1007/​978-3-319-27674-8_​43 CrossRef
2.
Bengio, Y.: Learning deep architectures for AI. Found. Trends Mach. Learn. 2(1), 1–127 (2009)CrossRefMATH
3.
Blažek, A., Lokoč, J., Matzner, F., Skopal, T.: Enhanced signature-based video browser. In: He, X., Luo, S., Tao, D., Xu, C., Yang, J., Hasan, M.A. (eds.) MMM 2015. LNCS, vol. 8936, pp. 243–248. Springer, Heidelberg (2015). doi:10.​1007/​978-3-319-14442-9_​22
4.
Blažek, A., Lokoč, J., Skopal, T.: Video retrieval with feature signature sketches. In: Traina, A.J.M., Traina, C., Cordeiro, R.L.F. (eds.) SISAP 2014. LNCS, vol. 8821, pp. 25–36. Springer, Heidelberg (2014). doi:10.​1007/​978-3-319-11988-5_​3
5.
Cobârzan, C., Schoeffmann, K., Bailer, W., Hürst, W., Blažek, A., Lokoč, J., Vrochidis, S., Barthel, K.U., Rossetto, L.: Interactive video search tools: a detailed analysis of the video browser showdown 2015. Multimedia Tools Appl., 1–33 (2016)
6.
Datta, R., Joshi, D., Li, J., Wang, J.Z.: Image retrieval: Ideas, influences, and trends of the new age. ACM Comput. Surv. 40(2), 5:1–5:60 (2008)CrossRef
7.
Fabro, M., Böszörmenyi, L.: AAU video browser: non-sequential hierarchical video browsing without content analysis. In: Schoeffmann, K., Merialdo, B., Hauptmann, A.G., Ngo, C.-W., Andreopoulos, Y., Breiteneder, C. (eds.) MMM 2012. LNCS, vol. 7131, pp. 639–641. Springer, Heidelberg (2012). doi:10.​1007/​978-3-642-27355-1_​63 CrossRef
8.
Donahue, J., Jia, Y., Vinyals, O., Hoffman, J., Zhang, N., Tzeng, E., Darrell, T.: DeCAF: a deep convolutional activation feature for generic visual recognition. CoRR abs/1310.1531 (2013)
9.
Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Pereira, F., Burges, C., Bottou, L., Weinberger, K. (eds.) Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, Lake Tahoe, Nevada, US, 3–6 December 2012, pp. 1097–1105. Curran Associates, Inc. (2012)
10.
Kruliš, M., Lokoč, J., Skopal, T.: Efficient extraction of clustering-based feature signatures using GPU architectures. Multimedia Tools Appl. 75(13), 8071–8103 (2016)CrossRef
11.
Kuboň, D., Blažek, A., Lokoč, J., Skopal, T.: Multi-sketch semantic video browser. In: Tian, Q., Sebe, N., Qi, G.-J., Huet, B., Hong, R., Liu, X. (eds.) MMM 2016. LNCS, vol. 9517, pp. 406–411. Springer, Heidelberg (2016). doi:10.​1007/​978-3-319-27674-8_​41 CrossRef
12.
Le, D.-D., Lam, V., Ngo, T.D., Tran, V.Q., Nguyen, V.H., Duong, D.A., Satoh, S.: NII-UIT-VBS: a video browsing tool for known item search. In: Li, S., Saddik, A., Wang, M., Mei, T., Sebe, N., Yan, S., Hong, R., Gurrin, C. (eds.) MMM 2013. LNCS, vol. 7733, pp. 547–549. Springer, Heidelberg (2013). doi:10.​1007/​978-3-642-35728-2_​65 CrossRef
13.
Lokoč, J., Blažek, A., Skopal, T.: Signature-based video browser. In: Gurrin, C., Hopfgartner, F., Hurst, W., Johansen, H., Lee, H., O’Connor, N. (eds.) MMM 2014. LNCS, vol. 8326, pp. 415–418. Springer, Heidelberg (2014). doi:10.​1007/​978-3-319-04117-9_​49 CrossRef
14.
Rubner, Y., Tomasi, C., Guibas, L.J.: The earth mover’s distance as a metric for image retrieval. Int. J. Comput. Vis. 40(2), 99–121 (2000)CrossRefMATH
15.
Schoeffmann, K.: A user-centric media retrieval competition: the video browser showdown 2012–2014. IEEE MultiMedia 21(4), 8–13 (2014)CrossRef
16.
Schoeffmann, K., Hudelist, M.A., Huber, J.: Video interaction tools: a survey of recent work. ACM Comput. Surv. 48(1), 14 (2015)CrossRef
17.
Smeaton, A.F., Over, P., Kraaij, W.: Evaluation campaigns and TRECVid. In: Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval, MIR 2006, pp. 321–330. ACM Press, New York (2006)
18.
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: Going deeper with convolutions. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1–9, June 2015
Metadata
Title
A Comparative Study for Known Item Visual Search Using Position Color Feature Signatures
Authors
Jakub Lokoč
David Kuboň
Adam Blažek
Copyright Year
2017
Book
MultiMedia Modeling

Print ISBN: 978-3-319-51813-8

Electronic ISBN: 978-3-319-51814-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-51814-5_1