The State of the Art in Online Handwriting Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer
LabelMe: A Database and Web-Based Tool for Image Annotation
International Journal of Computer Vision
Flux: a tilting multi-touch and pen based surface
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Pen-Based Video Annotations: A Proposal and a Prototype for Tablet PCs
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II
The lIGVID system for video retrieval and concept annotation
Proceedings of the international conference on Multimedia information retrieval
Touch & Write: a multi-touch table with pen-input
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
MCS for Online Mode Detection: Evaluation on Pen-Enabled Multi-touch Interfaces
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
VidWiki: enabling the crowd to improve the legibility of online educational videos
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
| Hi-index | 0.00 |
In this paper, we propose a pen-based annotation tool for videos. Annotating videos is an exhausting task, but it has a great benefit for several communities, as labeled ground truth data is the foundation for supervised machine learning approaches. Thus, there is need for an easy-to-use tool which assists users with labeling even complex structures. For outlining and labeling the shape of an object, we introduce a pen-based interface which combines pen and touch input. In our experiments we show that especially for complex structures the usage of a pen device improves the effectiveness of the outlining process.