Interactive detection of incrementally learned concepts in images with ranking and semantic query interpretation
conference paper
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.
Topics
TNO Identifier
527193
Publisher
IEEE
Source title
13th International Workshop on Content-Based Multimedia Indexing (CBMI 2015), 10-12 June 2015, Praque, Tjechie
Place of publication
Piscataway,NJ
Pages
1-4
Files
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