Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pedestrian Detection Using Wavelet Templates
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Episode detection in videos captured using a head-mounted camera
Pattern Analysis & Applications
A fully automated content-based video search engine supporting spatiotemporal queries
IEEE Transactions on Circuits and Systems for Video Technology
NeTra-V: toward an object-based video representation
IEEE Transactions on Circuits and Systems for Video Technology
A Novel Approach to Spatio-Temporal Video Analysis and Retrieval
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
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Manually labeling video data is not only a labor intensive and time-consuming task, but also subject to human errors. In this paper, we present an automatic video annotation system. The system uses spatial attributions such as color, texture, shape, motion, and temporal hierarchical attributes among video objects. The system includes a new method of automatic video segmentation, object recognition and object-tracking scheme, and hierarchical object-based video representation model.