Abstract
The indexing and retrieval of multimedia items is difficult due to the semantic gap between the user’s perception of the data and the descriptions we can derive automatically from the data using computer vision, speech recognition, and natural language processing. In this contribution we consider the nature of the semantic gap in more detail and show examples of methods that help in limiting the gap. These methods can be automatic, but in general the indexing and retrieval of multimedia items should be a collaborative process between the system and the user. We show how to employ the user’s interaction for limiting the semantic gap.
This work is supported by the ICES-KIS MIA project.
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Worring, M. et al. (2002). Interactive Indexing and Retrieval of Multimedia Content. In: Grosky, W.I., Plášil, F. (eds) SOFSEM 2002: Theory and Practice of Informatics. SOFSEM 2002. Lecture Notes in Computer Science, vol 2540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36137-5_8
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DOI: https://doi.org/10.1007/3-540-36137-5_8
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