Conference proceeding
Temporal video analysis
Proceedings of the 1st ACM workshop on analysis and retrieval of events/actions and workflows in video streams, pp.81-88
AREA '08
10/31/2008
DOI: 10.1145/1463542.1463556
Abstract
Detection of events and actions in video entails substantial processing of very large, even open-ended, video streams. The video information retrieval community has substantially focused on a single frame approach for retrieval and classification tasks. While this approach is sufficiently powerful for certain types of semantic concepts, there are more complicated categories such as events or motion that require more than that provided by a single frame. We present a simple and effective way of extracting time variant information in video data using three perspective views into a video stack.
Details
- Title: Subtitle
- Temporal video analysis
- Creators
- Dong-Jun ParkDavid Eichmann
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the 1st ACM workshop on analysis and retrieval of events/actions and workflows in video streams, pp.81-88
- Series
- AREA '08
- DOI
- 10.1145/1463542.1463556
- Publisher
- ACM
- Language
- English
- Date published
- 10/31/2008
- Academic Unit
- School of Library and Information Science
- Record Identifier
- 9984003003302771
Metrics
69 Record Views