Published March 1, 2020
| Version v1
Conference paper
Open
ITI-CERTH participation in TRECVID 2019
- 1. Information Technologies Institute CERTH
Description
In this work, an overview of the submitted run to TRECVID 2019 by ITI-CERTH is presented and more specifically, for the task of Activities in Extended Video (ActEV). Towards this objective, we deployed a state-of-the-art architecture for the human action recognition problem and with the application of an encoder-decoder model, we extract a threshold for every activity in order for the framework not only to recognize activities but also to identify them in extended videos.
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ITI_CERTH_TRECVID2019v0.1.pdf
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Additional details
Funding
- beAWARE – Enhancing decision support and management services in extreme weather climate events 700475
- European Commission
- V4Design – Visual and textual content re-purposing FOR(4) architecture, Design and video virtual reality games 779962
- European Commission
- ROBORDER – autonomous swarm of heterogeneous RObots for BORDER surveillance 740593
- European Commission
- CONNEXIONs – InterCONnected NEXt-Generation Immersive IoT Platform of Crime and Terrorism DetectiON, PredictiON, InvestigatiON, and PreventiON Services 786731
- European Commission