Signal Processing - Video segmentation for content-based processing manipulation
Automatic moving object and background separation
Signal Processing - Video segmentation for content-based processing manipulation
Simultaneous alpha map generation and 2-D mesh tracking for multimedia applications
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Unsupervised video segmentation based on watersheds and temporal tracking
IEEE Transactions on Circuits and Systems for Video Technology
Semiautomatic segmentation and tracking of semantic video objects
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Multiresolution-based watersheds for efficient image segmentation
Pattern Recognition Letters
SEGMENTATION OF MULTIPLE HUMAN OBJECTS IN VIDEO SEQUENCES
Applied Artificial Intelligence
Moving Video Object Edge Detection Using Complex Wavelets
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Tracking non-rigid objects using probabilistic Hausdorff distance matching
Pattern Recognition
Segmentation of faces in video footage using controlled weights on HSV color
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
| Hi-index | 0.00 |
Producing large amounts of digital media data every day requires fast transmission, efficient storage, flexible manipulation, and reuse of visual content. To achieve this goal, MPEG-4 provides a content-based framework. For video, it lets users transmit, retrieve, download, store, and reuse arbitrarily shaped semantic video objects (SVOs) efficiently and interact with media sources. This article presents an SVO system that adaptively performs spatial and temporal segmentation and fusion. It also switches between user-interactive and fully automatic modes.