Matches in ScholarlyData for { ?s ?p Semantic analysis and annotation of textual information with appropriate semantic entities is an essential task to enable semantic search on the annotated data. For video resources textual information is rare at first sight. But in recent years the development of technologies for automatic extraction of textual information from audio visual content has advanced. Additionally, video portals allow videos to be annotated with tags and comments by authors as well as users. All this information taken together forms video metadata which is manyfold in various ways. By making use of the characteristics of the different metadata types context can be created to enable sound semantic analysis and to support accuracy of understanding the video's content. This paper proposes a description model for semantic analysis on video metadata taking into account different contextual factors.. }
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- 82 abstract "Semantic analysis and annotation of textual information with appropriate semantic entities is an essential task to enable semantic search on the annotated data. For video resources textual information is rare at first sight. But in recent years the development of technologies for automatic extraction of textual information from audio visual content has advanced. Additionally, video portals allow videos to be annotated with tags and comments by authors as well as users. All this information taken together forms video metadata which is manyfold in various ways. By making use of the characteristics of the different metadata types context can be created to enable sound semantic analysis and to support accuracy of understanding the video's content. This paper proposes a description model for semantic analysis on video metadata taking into account different contextual factors.".