Automatic textual description of interactions between two objects in surveillance videos
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2523-3971
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Automatic textual description of interactions between two objects in surveillance videos ; volume:3 ; number:7 ; day:10 ; month:6 ; year:2021 ; pages:1-12 ; date:7.2021
SN applied sciences ; 3, Heft 7 (10.6.2021), 1-12, 7.2021
- Creator
-
Youssef, Wael F.
Haidar, Siba
Joly, Philippe
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s42452-021-04534-3
- URN
-
urn:nbn:de:101:1-2021100219440722609049
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:25 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Youssef, Wael F.
- Haidar, Siba
- Joly, Philippe
- SpringerLink (Online service)
Other Objects (12)
Automatic Assessment of Textual Exercises
Distributed Databases of non-textual Objects
Statistical Model For Pseudo-Moving Objects Recognition In Video Surveillance Systems
Extracting textual information from images and videos for automatic content-based annotation and retrieval
Background subtraction for the detection of moving and static objects in video surveillance
Automatic detection of foreign objects and contaminants in colonoscopic video data using deep learning
Towards the Automatic Extraction of Plant Traits from Textual Descriptions
Automatic textual description of colorectal polyp features: explainable artificial intelligence
CrossroadsDescriber – Automatic Textual Description of OpenStreetMap Intersections
Video Surveillance in Hollywood Movies
GEOVISUALIZATION FOR SMART VIDEO SURVEILLANCE
Segmenting and tracking objects in video
Automatic Assessment of Textual Exercises
Distributed Databases of non-textual Objects
Statistical Model For Pseudo-Moving Objects Recognition In Video Surveillance Systems
Extracting textual information from images and videos for automatic content-based annotation and retrieval
Background subtraction for the detection of moving and static objects in video surveillance
Automatic detection of foreign objects and contaminants in colonoscopic video data using deep learning
Towards the Automatic Extraction of Plant Traits from Textual Descriptions
Automatic textual description of colorectal polyp features: explainable artificial intelligence
CrossroadsDescriber – Automatic Textual Description of OpenStreetMap Intersections
Video Surveillance in Hollywood Movies
GEOVISUALIZATION FOR SMART VIDEO SURVEILLANCE
Segmenting and tracking objects in video
Automatic Assessment of Textual Exercises
Distributed Databases of non-textual Objects
Statistical Model For Pseudo-Moving Objects Recognition In Video Surveillance Systems
Extracting textual information from images and videos for automatic content-based annotation and retrieval
Background subtraction for the detection of moving and static objects in video surveillance
Automatic detection of foreign objects and contaminants in colonoscopic video data using deep learning
Towards the Automatic Extraction of Plant Traits from Textual Descriptions
Automatic textual description of colorectal polyp features: explainable artificial intelligence
CrossroadsDescriber – Automatic Textual Description of OpenStreetMap Intersections
Video Surveillance in Hollywood Movies
GEOVISUALIZATION FOR SMART VIDEO SURVEILLANCE