| Paper: | WP-P3.5 |
| Session: | Video Object Segmentation and Tracking III / Video Shot/Scene Segmentation |
| Time: | Wednesday, September 19, 14:30 - 17:10 |
| Presentation: |
Poster
|
| Title: |
A GENERIC PROCESS CHAIN TO EXTRACT KEY-OBJECTS FROM VIDEO SHOTS |
| Authors: |
Jérémy Huart; INPG - GIPSA Lab | | |
| | Pascal Bertolino; INPG - GIPSA Lab | | |
| Abstract: |
This paper discusses object-based representation of video shots acquired with a moving camera. Our approach uses an extraction of foreground regions capable of representing semantic objects of interest. However, foreground regions extracted by motion compensation are not always representative of the entity they depict. A filtering and a clustering of these regions allow us to retain only the most representative of each real object in the shot, i.e. the key-object. |
