Top

Published in:

2018 | OriginalPaper | Chapter

Revisiting SIRET Video Retrieval Tool

Authors : Jakub Lokoč, Gregor Kovalčík, Tomáš Souček

Published in: MultiMedia Modeling

Publisher: Springer International Publishing

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

search-config

AI-assisted search

Off

Abstract

The known-item and ad-hoc video search tasks still represent challenging problems for the video retrieval community. During last years, the Video Browser Showdown identified several promising approaches that can improve the effectiveness of interactive video retrieval tools focusing on the tasks. We present a major revision of the SIRET interactive video retrieval tool that follows these findings. The new version employs three different query initialization approaches and provides several result visualization methods for effective navigation and browsing in sets of ranked keyframes.

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

previous chapter Fusing Keyword Search and Visual Exploration for Untagged Videos

next chapter Sketch-Based Similarity Search for Collaborative Feature Maps

Only the supported set of labels L of a selected model M can be used to form the query (our UI keyword search element prompts the labels).

Amato, G., Falchi, F., Gennaro, C., Rabitti, F.: Searching and annotating 100M images with YFCC100M-HNFC6 and MI-file. In: Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing, CBMI 2017, New York, NY, USA, pp. 26:1–26:4. ACM (2017)

Awad, G., Butt, A., Fiscus, J., Michel, M., Joy, D., Kraaij, W., Smeaton, A.F., Quénot, G., Eskevich, M., Ordelman, R., Jones, G.J.F., Huet, B.: TRECVID 2017: evaluating ad-hoc and instance video search, events detection, video captioning and hyperlinking. In: Proceedings of TRECVID 2017. NIST (2017)

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, Cham (2016). https://doi.org/10.1007/978-3-319-27674-8_43 CrossRef

Blaz̆ek, A., Lokoc̆, J., Kubon̆, D.: Video hunter at VBS 2017. In: Amsaleg, L., Guðmundsson, G.Þ., Gurrin, C., Jónsson, B.Þ., Satoh, S. (eds.) MMM 2017. LNCS, vol. 10133, pp. 493–498. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-51814-5_47 CrossRef

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, Cham (2014). https://doi.org/10.1007/978-3-319-11988-5_3

Budíková, P., Batko, M., Zezula, P.: Fusion strategies for large-scale multi-modal image retrieval. Ttans. Large-Scale Data Knowl.-Centered Syst. 33, 146–184 (2017)

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. Multimed. Tools Appl. 76(4), 5539–5571 (2016)CrossRef

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, Cham (2014). https://doi.org/10.1007/978-3-319-04117-9_49 CrossRef

Lokoč, J., Phuong, A.N., Vomlelová, M., Ngo, C.-W.: Color-sketch simulator: a guide for color-based visual known-item search. In: Cong, G., Peng, W.-C., Zhang, W.E., Li, C., Sun, A. (eds.) ADMA 2017. LNCS (LNAI), vol. 10604, pp. 754–763. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-69179-4_53 CrossRef

10.

Rossetto, L., Giangreco, I., Tănase, C., Schuldt, H., Dupont, S., Seddati, O.: Enhanced retrieval and browsing in the IMOTION system. In: Amsaleg, L., Guðmundsson, G.Þ., Gurrin, C., Jónsson, B.Þ., Satoh, S. (eds.) MMM 2017. LNCS, vol. 10133, pp. 469–474. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-51814-5_43 CrossRef

11.

Russakovsky, O., Deng, J., Hao, S., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A.C., Fei-Fei, L.: Imagenet large scale visual recognition challenge. Int. J. Comput. Vis. 115(3), 211–252 (2015)MathSciNetCrossRef

12.

Schoeffmann, K.: A user-centric media retrieval competition: the video browser showdown 2012–2014. IEEE Multimed. 21(4), 8–13 (2014)CrossRef

13.

Schoeffmann, K., Hudelist, M.A., Huber, J.: Video interaction tools: a survey of recent work. ACM Comput. Surv. 48(1), 14 (2015)CrossRef

14.

Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. CoRR, abs/1409.1556 (2014)

15.

Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S.E., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: Going deeper with convolutions. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA, USA, 7–12 June 2015, pp. 1–9 (2015)

Title: Revisiting SIRET Video Retrieval Tool
Authors: Jakub Lokoč
Gregor Kovalčík
Tomáš Souček
Publisher: Springer International Publishing
Book: MultiMedia Modeling
Print ISBN: 978-3-319-73599-3

Electronic ISBN: 978-3-319-73600-6

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-73600-6_44

Springer Professional

Abstract

Please log in to get access to your license.

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

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"