期刊
MULTIMEDIA MODELING, MMM 2017, PT II
卷 10133, 期 -, 页码 469-474出版社
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-319-51814-5_43
关键词
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资金
- Chist-Era project IMOTION
- Belgian Fonds de la Recherche Scientifique (FNRS) [R.50.02.14.F]
- Swiss National Science Foundation (SNSF) [20CH21_151571]
- Swiss National Science Foundation (SNF) [20CH21_151571] Funding Source: Swiss National Science Foundation (SNF)
This paper presents the IMOTION system in its third version. While still focusing on sketch-based retrieval, we improved upon the semantic retrieval capabilities introduced in the previous version by adding more detectors and improving the interface for semantic query specification. In addition to previous year's system, we increase the role of features obtained from Deep Neural Networks in three areas: semantic class labels for more entry-level concepts, hidden layer activation vectors for query-by-example and 2D semantic similarity results display. The new graph-based result navigation interface further enriches the system's browsing capabilities. The updated database storage system ADAM(pro) designed from the ground up for large scale multimedia applications ensures the scalability to steadily growing collections.
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