Finally, we have successfully merged all georeferenced videos, including video dataset collected during recent experiments (Oct., 29 - Nov., 5, 2012).
The GeoVid project explores the concept of sensor-rich video tagging. Specifically, recorded videos are tagged with a continuous stream of extended geographic properties that relate to the camera scenes. This meta-data is then utilized for storing, indexing and searching large collections of community-generated videos. By considering video related meta-information, more relevant search results can be returned and advanced searches, such as directional and surround queries, can be executed. This web site demonstrates a more experimental, touch-friendly HTML5-based video search portal (works best with Google Chrome) that utilize an estimation model of a camera's viewable scene for effective video search.
|main menu||recording menu|
To acquire video with the relevant properties, we provide smartphone and tablet apps that automatically annotate captured videos with their respective field-of-views (FOV). The acquisition apps, available for Android on our site here and in the Google Play Store here, allow community-driven data contributions to this search portal. Tagged videos can directly be uploaded from the apps. The iPhone and iPad apps are available from the iTunes App Store here.
|New Experimental Interface||Google StreetView Integration|
Below is a video that explains the ideas and concepts behind GeoVid. Alternatively, you can directly try the more experimental, HTML5-based video search portal (works best with Google Chrome). Please note that the site contains a limited number of videos right now.
- Roger Zimmermann
- Seon Ho Kim
- Sakire Arslan Ay
- Beomjoo Seo
- Jia Hao
- Lingyan Zhang
- Guanfeng Wang
- Shunkai Fang
- He Ma