| Conference/Proceedings | International Workshop on Knowledge Acquisition from Multimedia Content (KAMC '07) |
| Start date | 05.12.2007 |
| End date | 05.12.2007 |
| Author(s) | J. Nemrava, P. Buitelaar, N. Simou, D. Sadlier, V. Svatek, T. Declerck, A. Cobet, T. Sikora, N. O'Connor, V. Tzouvaras, H. Zeiner, J. Petrak |
| Title | An Architecture for Mining Resources Complementary to Audio-Visual Streams |
| Abstract | In this paper we attempt to characterize resources of information complementary to audio-visual (A/V) streams and propose their usage for enriching A/V data with semantic concepts in order to bridge the gap between low-level video detectors 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 resource analysis and discuss domain dependency aspects of this approach related to our domain of soccer broadcasts. |
| Key words | low-level, high-level, cross-media feature descriptors, text detection, video OCR |