Name
Abstract | ||
|---|---|---|
The semantic information in videos is useful forcontent-based video retrieval and summarization.Traditional image/video understanding is formulated interms of how-level features describing the structure andintensity of the input image/video.How to generate thehigh-level knowledge such as common sense and humanperceptual knowledge is one of the most difficult problemsThis paper attempts to bridge this gap through theintegration of image analysis algorithms and multi-levelSemantic Network (SN) to interpret the semantic meaningof the baseball video. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ITCC.2003.1197559 | ITCC |
Keywords | Field | DocType |
humanperceptual knowledge,traditional image,image analysis algorithm,semantic meaningof,video understanding,baseball video,input image,thehigh-level knowledge,semantics categorization,semantic information,useful forcontent-based video retrieval,image analysis,image retrieval,sport,semantic network,videoconference,information technology,summarization,bayesian network,semantic networks | Categorization,Automatic summarization,Information retrieval,Computer science,Image retrieval,Semantic network,Video tracking,Bayesian network,Perception,Semantics | Conference |
ISBN | Citations | PageRank |
0-7695-1916-4 | 1 | 0.36 |
References | Authors | |
6 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huang-Chia Shih | 1 | 187 | 21.98 |
| Chung-Lin Huang | 2 | 10 | 1.56 |