Abstract
In this paper, we propose a new software tool called DALES to extract semantic information
from multi-view videos based on the analysis of their visual content. Our system is fully automatic and is well suited for multi-camera environment. Once the multi-view video sequences are loaded into DALES, our software performs the detection, counting, and segmentation of the visual objects evolving in the provided video streams. Then, these objects of interest are processed in order to be labelled, and the related frames are thus annotated with the corresponding semantic content. Moreover, a textual script is automatically generated with the video annotations. DALES system shows excellent performance in terms of accuracy and computational speed and is robustly designed to ensure view synchronization.
from multi-view videos based on the analysis of their visual content. Our system is fully automatic and is well suited for multi-camera environment. Once the multi-view video sequences are loaded into DALES, our software performs the detection, counting, and segmentation of the visual objects evolving in the provided video streams. Then, these objects of interest are processed in order to be labelled, and the related frames are thus annotated with the corresponding semantic content. Moreover, a textual script is automatically generated with the video annotations. DALES system shows excellent performance in terms of accuracy and computational speed and is robustly designed to ensure view synchronization.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 25th International Conference on Computational Linguistics |
| Subtitle of host publication | Dublin, Ireland, August 23-29 2014 |
| Publisher | The Association for Computational Linguistics |
| Pages | 87-94 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - 2014 |
| Externally published | Yes |