@inproceedings{1a992b2c157c454f93909e780c2989b0,
title = "Interactive detection of incrementally learned concepts in images with ranking and semantic query interpretation",
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.",
keywords = "concept detection, incremental learning, Semantic reasoning",
author = "Klamer Schutte and Henri Bouma and John Schavemaker and Laura Daniele and Maya Sappelli and Gijs Koot and Pieter Eendebak and George Azzopardi and Martijn Spitters and {De Boer}, Maaike and Maarten Kruithof and Paul Brandt",
year = "2015",
month = jul,
day = "9",
doi = "10.1109/CBMI.2015.7153623",
language = "English",
series = "Proceedings - International Workshop on Content-Based Multimedia Indexing",
publisher = "IEEE Computer Society",
booktitle = "2015 13th International Workshop on Content-Based Multimedia Indexing, CBMI 2015",
note = "13th International Workshop on Content-Based Multimedia Indexing, CBMI 2015 ; Conference date: 10-06-2015 Through 12-06-2015",
}