publication . Conference object . Other literature type . 2017

Concept Language Models and Event-based Concept Number Selection for Zero-example Event Detection

Galanopoulos, Damianos; Markatopoulou, Foteini; Mezaris, Vasileios; Patras, Ioannis;
Open Access
  • Published: 06 Jun 2017
  • Publisher: ACM
Abstract
Zero-example event detection is a problem where, given an event query as input but no example videos for training a detector, the system retrieves the most closely related videos. In this paper we present a fully-automatic zero-example event detection method that is based on translating the event description to a predefined set of concepts for which previously trained visual concept detectors are available. We adopt the use of Concept Language Models (CLMs), which is a method of augmenting semantic concept definition, and we propose a new concept-selection method for deciding on the appropriate number of the concepts needed to describe an event query. The propos...
Subjects
free text keywords: Zero-example event detection, Concept Language Models (CLMs), Zero-example multimedia event detection, Video search, Query representation, Complex event processing, Concept language, Computer science, Machine learning, computer.software_genre, computer, Artificial intelligence, business.industry, business, Pattern recognition, Detector
Funded by
EC| InVID
Project
InVID
In Video Veritas – Verification of Social Media Video Content for the News Industry
  • Funder: European Commission (EC)
  • Project Code: 687786
  • Funding stream: H2020 | IA
,
EC| MOVING
Project
MOVING
Training towards a society of data-savvy information professionals to enable open leadership innovation
  • Funder: European Commission (EC)
  • Project Code: 693092
  • Funding stream: H2020 | RIA
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Conference object . 2017
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Other literature type . 2017
Provider: Datacite
ZENODO
Conference object . 2017
Provider: ZENODO
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