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Abstract towards to an automatic semantic annotation for multimedia learning objects.
| Content Provider | CiteSeerX |
|---|---|
| Abstract | The number of digital video recordings has increased dramatically. The idea of recording lectures, speeches, and other academic events is not new. But, the accessibility and traceability of its content for further use is rather limited. Searching multimedia data, in particular audiovisual data, is still a challenging task to overcome. We describe and evaluate a new approach to generate a semantic annotation for multimedia resources, i.e., recorded university lectures. Speech recognition is applied to create a tentative and deficient transliteration of the video recordings. We show that the imperfect transliteration is sufficient to generate semantic metadata serialized in an OWL file. The semantic annotation process based on textual material and deficient transliterations of lecture recordings are discussed and evaluated. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Speech Recognition Academic Event Digital Video Recording Semantic Metadata New Approach Multimedia Resource Textual Material Particular Audiovisual Data Owl File Lecture Recording Automatic Semantic Annotation Imperfect Transliteration Semantic Annotation Process Abstract Towards Multimedia Learning Object Deficient Transliteration University Lecture Video Recording Semantic Annotation Multimedia Data |
| Content Type | Text |
