CoVidA Pen-Based Collaborative Video Annotation

CoVidA Pen-Based Collaborative Video Annotation
Tobias Zimmermann, Markus Weber, Marcus Liwicki, Didier Stricker
VIGTA 2012 – First International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications (VIGTA-2012), First, located at Advanced Visual Interfaces International Working Conference , May 21, Capri, Italy

Abstract:
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 foun- dation 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 ob- ject, we introduce a pen-based interface which combines pen and touch input. In our experiments we show that especially for com- plex structures the usage of a pen device improves the effectiveness of the outlining process.

CoVidA Pen-Based Collaborative Video Annotation

CoVidA Pen-Based Collaborative Video Annotation
Tobias Zimmermann, Markus Weber, Marcus Liwicki, Didier Stricker
VIGTA 2012 – First International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications (VIGTA-2012), First, located at Advanced Visual Interfaces International Working Conference , May 21, Capri, Italy

Abstract:
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 foun- dation 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 ob- ject, we introduce a pen-based interface which combines pen and touch input. In our experiments we show that especially for com- plex structures the usage of a pen device improves the effectiveness of the outlining process.