Document expansion for speech retrieval
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Cluster-based language models for distributed retrieval
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A Retrieval Mechanism for Semi-Structured Photographic Collections
DEXA '97 Proceedings of the 8th International Conference on Database and Expert Systems Applications
Design and Implementation of a Cross-Media Indexing System for the Reveal-This System
AXMEDIS '06 Proceedings of the Second International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution
Design of a cross-media indexing system
ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
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Cross-media analysis and indexing leverage the individual potential of each indexing information provided by different modalities, such as speech, text and image, to improve the effectiveness of information retrieval and filtering in later stages. The process does not only constitute generating a merged representation of the digital content, such as MPEG-7, but also enriching it in order to help remedy the imprecision and noise introduced during the low-level analysis phases. It has been hypothesized that a system that combines different media descriptions of the same multi-modal audio-visual segment in a semantic space will perform better at retrieval and filtering time. In order to validate this hypothesis, we have developed a cross-media indexing system which utilises the Multiple Evidence approach by establishing links among the modality specific textual descriptions in order to depict topical similarity.