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Multimodal Video Retrieval with the 2017 IMOTION System
ConferencePaper (Artikel, die in Tagungsbänden erschienen sind)
 
ID 4138762
Author(s) Rossetto, Luca; Giangreco, Ivan; Tanase, Claudiu; Schuldt, Heiko
Author(s) at UniBasel Schuldt, Heiko
Rossetto, Luca
Giangreco, Ivan
Tanase, Claudiu-Ioan
Year 2017
Title Multimodal Video Retrieval with the 2017 IMOTION System
Book title (Conference Proceedings) Proceedings of the 2017 ACM International Conference on Multimedia Retrieval (ICMR 2017)
Place of Conference Bucharest, Romania
Year of Conference 2017
Publisher ACM
Pages 457-460
ISSN/ISBN 978-1-4503-4701-3
Abstract The IMOTION system is a multimodal content-based video search and browsing application offering a rich set of query modes on the basis of a broad range of different features. It is able to scale with the size of the collection due to its underlying flexible polystore called ADAMpro and its very effective retrieval engine Cineast, optimized for multi-feature fusion. IMOTION is simultaneously geared towards precision-focused searches, i.e., known-item search with image or text queries, and recall-focused, exploratory searches. In this demo, we will present the 2017 IMOTION system deployed on the IACC.3 collection consisting of 600 hours of Internet Archive video, which was also used in the TRECVID 2016 Ad-Hoc Video Search and in the 2017 Video Browser Showdown (VBS) challenge in which IMOTION ranked first. Conference attendees will have the chance to interact with the 2017 IMOTION system and quickly solve various retrieval tasks.
edoc-URL http://edoc.unibas.ch/58199/
Full Text on edoc Restricted
Digital Object Identifier DOI 10.1145/3078971.3079012
Document type (ISI) inproceedings
 
   

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14/05/2024