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Integrating Domain Knowledge and Visual Evidence to Support Highlight Detection in Sports Videos
| Content Provider | Scilit |
|---|---|
| Author | Furht, Borko Marques, Oge |
| Copyright Year | 2003 |
| Description | The dramatic quantity of videos generated by digital technologies has originated the need for automatic annotation of these videos, and the consequent need for techniques supporting their retrieval. Content-based video annotation and retrieval is therefore an active research topic. While many of the results in content-based image retrieval can be successfully applied to videos, additional techniques have to be developed to address their peculiarity. In fact, videos add the temporal dimension, thus requiring to represent object dynamics. Furthermore, while we often think of a video just as of a sequence of images, it is actually a compound medium, integrating such elementary media as realistic images, graphics, text and audio, each showing characteristic presentation affordances [8]. Finally, application contexts for videos are different than those for images, and therefore call for different approaches in the way in which users may annotate, query for, and exploit archived video data. Book Name: Handbook of Video Databases |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2009-0-18429-0&isbn=9780429205675&doi=10.1201/9780203489864-9&format=pdf |
| Ending Page | 140 |
| Page Count | 25 |
| Starting Page | 116 |
| DOI | 10.1201/9780203489864-9 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2003-09-30 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Handbook of Video Databases Cybernetical Science Videos Video Annotation Automatic Annotation Content Based Integrating Active Research Based Video Additional Techniques Showing Characteristic |
| Content Type | Text |
| Resource Type | Chapter |
