Abstract
The number of networked cameras is growing exponentially. Multiple applications in different domains result in an increasing need to search semantically over video sensor data. In this paper, we present the GOOSE demonstrator, which is a real-time general-purpose search engine that allows users to pose natural language queries to retrieve corresponding images. Top-down, this demonstrator interprets queries, which are presented as an intuitive graph to collect user feedback. Bottom-up, the system automatically recognizes and localizes concepts in images and it can incrementally learn novel concepts. A smart ranking combines both and allows effective retrieval of relevant images.
Original language | English |
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Title of host publication | 13th International Workshop on Content-Based Multimedia Indexing (CBMI), 2015, 10-12 June 2015, Prague, Czech Republic |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 1-4 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 12 Jun 2015 |
Event | 13th International Workshop on Content-Based Multimedia Indexing (CBMI 2015), June 10-12, 2015, Prague, Czech Republic - Prague, Czech Republic Duration: 10 Jun 2015 → 12 Jun 2015 http://siret.ms.mff.cuni.cz/cbmi2015/ |
Workshop
Workshop | 13th International Workshop on Content-Based Multimedia Indexing (CBMI 2015), June 10-12, 2015, Prague, Czech Republic |
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Abbreviated title | CBMI 2015 |
Country/Territory | Czech Republic |
City | Prague |
Period | 10/06/15 → 12/06/15 |
Internet address |
Keywords
- semantic reasoning
- concept detection
- incremental learning