Automatic content-based retrieval of broadcast news
Proceedings of the third ACM international conference on Multimedia
Transcribing broadcast news for audio and video indexing
Communications of the ACM
Enabling semantic search in a news production environment
SAMT'10 Proceedings of the 5th international conference on Semantic and digital media technologies
Multimedia Search Without Visual Analysis: The Value of Linguistic and Contextual Information
IEEE Transactions on Circuits and Systems for Video Technology
MM '11 Proceedings of the 19th ACM international conference on Multimedia
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Broadcast video retrieval is a key issue for media researchers looking for suitable media material in archives. Current media retrieval applications in use at VRT have proven to be a suboptimal solution. In this paper, we explain a novel search environment based on the combined metadata from multiple broadcast systems. Furthermore, we explain how speech recognition can facilitate unlocking the archive. This is illustrated by conducting experiments and measuring the keyword recognition rate, rather than the pure word error rate. We show that the keyword recognition rate is sufficient for efficient media retrieval in a search application.