- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: Proceedings of the 23rd ACM international conference on Multimedia - MM '15, October 26 - 30, 2015, Brisbane, Australia, S. 681-684
- Klassifikation
-
Bibliotheks- und Informationswissenschaft
- Ereignis
-
Veröffentlichung
- (wo)
-
Augsburg, New York, USA
- (wer)
-
Universität Augsburg, ACM Press
- (wann)
-
2015
- Urheber
- DOI
-
10.1145/2733373.2807407
- URN
-
urn:nbn:de:bvb:384-opus4-611073
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Lassner, Christoph
- Lienhart, Rainer
- Universität Augsburg, ACM Press
Entstanden
- 2015
Ähnliche Objekte (12)
Deriving a discriminative color model for a given object class from weakly labeled training data
Audio brush: a tool for computer-assisted smart audio editing
Bundle min-hashing for logo recognition
Deep networks for image retrieval on large-scale databases
Norm-induced entropies for decision forests
Visual question answering with a hybrid convolution recurrent model
On the benefit of synthetic data for company logo detection
Towards automatic object annotations from global image labels
Scalable logo recognition in real-world images
Synthetically trained multi-view object class and viewpoint detection for advanced image retrieval
Improving small object proposals for company logo detection
Verfahren zur Inhaltsanalyse, zur Indizierung und zum Vergleich von digitalen Videosequenzen
Deriving a discriminative color model for a given object class from weakly labeled training data
Audio brush: a tool for computer-assisted smart audio editing
Bundle min-hashing for logo recognition
Deep networks for image retrieval on large-scale databases
Norm-induced entropies for decision forests
Visual question answering with a hybrid convolution recurrent model
On the benefit of synthetic data for company logo detection
Towards automatic object annotations from global image labels
Scalable logo recognition in real-world images
Synthetically trained multi-view object class and viewpoint detection for advanced image retrieval
Improving small object proposals for company logo detection
Verfahren zur Inhaltsanalyse, zur Indizierung und zum Vergleich von digitalen Videosequenzen
Deriving a discriminative color model for a given object class from weakly labeled training data
Audio brush: a tool for computer-assisted smart audio editing
Bundle min-hashing for logo recognition
Deep networks for image retrieval on large-scale databases
Norm-induced entropies for decision forests
Visual question answering with a hybrid convolution recurrent model
On the benefit of synthetic data for company logo detection
Towards automatic object annotations from global image labels
Scalable logo recognition in real-world images
Synthetically trained multi-view object class and viewpoint detection for advanced image retrieval
Improving small object proposals for company logo detection