Video parsing, retrieval and browsing: an integrated and content-based solution
Proceedings of the third ACM international conference on Multimedia
Viewing meeting captured by an omni-directional camera
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Algebraic retrieval of fragmentarily indexed video
New Generation Computing
OVID: Design and Implementation of a Video-Object Database System
IEEE Transactions on Knowledge and Data Engineering
The Stratification System - A Design Emvironment for Random Access
Proceedings of the Third International Workshop on Network and Operating System Support for Digital Audio and Video
Modeling of Moving Objects in a Video Database
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Multi-level annotation of natural scenes using dominant image components and semantic concepts
Proceedings of the 12th annual ACM international conference on Multimedia
Querying multiple video streams and hypermedia objects of a video-based virtual space system
Digital Cities'03 Proceedings of the Third international conference on Information Technologies for Social Capital: cross-Cultural Perspectives
| Hi-index | 0.00 |
Omni-Directional Video (ODV), which is recorded using an omni-directional camera, has become widely used because of recent advancements in digital video technologies and photographic equipment. In ODV, as multiple subjects are recorded by the camera, keyword annotation is practically impossible. Furthermore, the basic concepts of indexing and retrieval of traditional video databases, such as frame and shot, are not applicable to ODV data. Therefore, the properties of ODV must be discovered and basic concepts must be defined to find out effective ways of indexing and retrieving such video data. We developed a new data model that provides operations for the composition, searching, navigation, and playback of ODV data based on video algebra and spatial properties.