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de Boer, M.H.T. (author), Daniele, L.M. (author), Brandt, P. (author), Sappelli, M. (author)
Abstract—With the growth of open sensor networks, multiple applications in different domains make use of a large amount of sensor data, resulting in an emerging need to search semantically over heterogeneous datasets. In semantic search, an important challenge consists of bridging the semantic gap between the high-level natural language query...
conference paper 2015
Bouma, H. (author), Azzopardi, G. (author), Spitters, M.M. (author), de Wit, J.J. (author), Versloot, C.A. (author), van der Zon, R.W.L. (author), Eendebak, P.T. (author), Baan, J. (author), ten Hove, R.J.M. (author), van Eekeren, A.W.M. (author), ter Haar, F.B. (author), den Hollander, R.J.M. (author), van Huis, R.J. (author), de Boer, M.H.T. (author), van Antwerpen, G. (author), Broekhuijsen, B.J. (author), Daniele, L.M. (author), Brandt, P. (author), Schavemaker, J.G.M. (author), Kraaij, W. (author), Schutte, K. (author)
We describe the TNO system and the evaluation results for TRECVID 2013 Multimedia Event Detection (MED) and instance search (INS) tasks. The MED system consists of a bag-of-word (BOW) approach with spatial tiling that uses low-level static and dynamic visual features, an audio feature and high-level concepts. Automatic speech recognition (ASR)...
conference paper 2013