| Conference/Proceedings | Proceedings of the 2nd International Conference on Semantics And digital Media Technologies (SAMT'07) |
| Start date | 05.12.2007 |
| End date | 07.12.2007 |
| Author(s) | J. Nemrava, P. Buitelaar, T. Declerck, V. Svátek, J. Petrák, A. Cobet, H. Zeiner, D. Sadlier, N. O’Connor |
| Title | Enhancing Video Analysis Results using Complementary Textual Resources |
| Abstract | In this document we deal with different sources of information complementary to audio-visual streams and propose their usage for enriching this data with semantic concepts in order to bridge the gap between low-level video analysis and high-level analysis. Our aim is to extract cross-media feature descriptors from semantically enriched and aligned resources so as to detect finer-grained events in video. We introduce an architecture for complementary resources analysis and discuss domain dependency aspects of this approach connected to our initial domain of football broadcasts. |
| Key words | ow-level, high-level, cross-media feature descriptors, text detection, video OCR |