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Hey, vitrivr! - A Multimodal UI for Video Retrieval
ConferencePaper (Artikel, die in Tagungsbänden erschienen sind)
 
ID 4138731
Author(s) Goel, Prateek; Giangreco, Ivan; Rossetto, Luca; Tanase, Claudiu; Schuldt, Heiko
Author(s) at UniBasel Schuldt, Heiko
Giangreco, Ivan
Rossetto, Luca
Tanase, Claudiu-Ioan
Year 2017
Title Hey, vitrivr! - A Multimodal UI for Video Retrieval
Book title (Conference Proceedings) Advances in Information Retrieval. ECIR 2017
Volume 10193
Place of Conference Aberdeen, UK
Year of Conference 2017
Publisher Springer
ISSN/ISBN 0302-9743 ; 978-3-319-56607-8 ; 978-3-319-56608-5
Abstract In this paper, we present a multimodal web-based user interface for the vitrivr system. vitrivr is a modern, open-source video retrieval system for searching in large collections of video using a great variety of query modes, including query-by-sketch, query-by-example and query-by-motion. With the multimodal user interface, prospective users benefit from being able to naturally interact with the vitrivr system by using spoken commands and also by applying multimodal commands which combine spoken instructions with manual pointing. While the main strength of the UI is the seamless combination of speech-based and sketch-based interaction for multimedia similarity search, the speech modality has shown to be very effective for retrieval on its own. In particular, it helps overcoming accessibility boundaries and offering retrieval functionality for users with disabilities. Finally, for a holistic natural experience with the vitrivr system, we have integrated a speech synthesis engine that returns spoken answers to the user.
Series title Lecture Notes in Computer Science
edoc-URL http://edoc.unibas.ch/58194/
Full Text on edoc Available
Digital Object Identifier DOI 10.1007/978-3-319-56608-5_75
ISI-Number WOS:000426152000075
Document type (ISI) inproceedings
 
   

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14/05/2024