TY - GEN
T1 - VideoMAP
T2 - 33rd Annual Hawaii International Conference on System Sciences (HICSS-33)
AU - Lau, Rynson W.H.
AU - Li, Qing
AU - Si, Antonio
PY - 2000/1
Y1 - 2000/1
N2 - To support video applications efficiently, video objects must be modeled and structured in secondary storage effectively, allowing flexible, easy, and efficient retrieval as well as support for dynamic video application development. In this paper, we describe a video management framework called VideoMAP (which stands for Video Management and Application Processing). The VideoMAP framework provides three components: the Segmentation and Clustering Component (SCC), the Semantic Modeling Component (SMC), and the Query Processing Component (QPC). SCC structures video objects through video partitioning, keyframe selection and segment clustering. SMC organizes video segments/clusters into semantically meaningful hierarchies with annotated feature indices. QPC provides flexible query specification and processing, and supports for external video application development. The framework employs a layered architecture, providing a flexibility and extensibility for each component to incorporate different schemes for different kinds of video objects. A prototype of VideoMAP is currently being constructed using an object-oriented database toolkit on the PC platform. © 2000 IEEE.
AB - To support video applications efficiently, video objects must be modeled and structured in secondary storage effectively, allowing flexible, easy, and efficient retrieval as well as support for dynamic video application development. In this paper, we describe a video management framework called VideoMAP (which stands for Video Management and Application Processing). The VideoMAP framework provides three components: the Segmentation and Clustering Component (SCC), the Semantic Modeling Component (SMC), and the Query Processing Component (QPC). SCC structures video objects through video partitioning, keyframe selection and segment clustering. SMC organizes video segments/clusters into semantically meaningful hierarchies with annotated feature indices. QPC provides flexible query specification and processing, and supports for external video application development. The framework employs a layered architecture, providing a flexibility and extensibility for each component to incorporate different schemes for different kinds of video objects. A prototype of VideoMAP is currently being constructed using an object-oriented database toolkit on the PC platform. © 2000 IEEE.
UR - https://www.scopus.com/pages/publications/85094101246
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85094101246&origin=recordpage
U2 - 10.1109/HICSS.2000.927006
DO - 10.1109/HICSS.2000.927006
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0769504930
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
BT - Proceedings of the Thirty-Third Annual Hawaii International Conference on System Sciences
PB - IEEE
Y2 - 4 January 2000 through 7 January 2000
ER -