Conference paper Open Access
ITI-CERTH participation in ActEV and AVS Tracks of TRECVID 2022
Konstantinos Gkountakos;
Damianos Galanopoulos;
Despoina Touska;
Konstantinos Ioannidis;
Stefanos Vrochidis;
Vasileios Mezaris;
Ioannis Kompatsiaris
This report presents the overview of the runs related to Ad-hoc Video Search (AVS) and Activities in Extended Video (ActEV) tasks on behalf of the ITI-CERTH team. Our participation in the AVS task is based on a cross-modal deep network architecture utilizing several textual and visual features. As part of the retrieval stage, a dual-softmax approach is utilized to revise the calculated text-video
similarities. For the ActEV task, we adapt our framework to fit the new dataset and overcome the challenges of detecting and recognizing activities in a multi-label manner while experimenting with two separate activity classifiers.
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- Publication date:
- March 1, 2023
- DOI:
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- Keyword(s):
- Activity detection Activity recognition 3D-convolutional neural networks
- Grants:
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European Commission:
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INFINITY - IMMERSE. INTERACT. INVESTIGATE (883293)
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CREST - Fighting Crime and TerroRism with an IoT-enabled Autonomous Platform based on an Ecosystem of Advanced IntelligEnce, Operations, and InveStigation Technologies (833464)
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CRiTERIA - Comprehensive data-driven Risk and Threat Assessment Methods for the Early and Reliable Identification, Validation and Analysis of migration-related risks (101021866)
- ODYSSEUS - PREVENTING, COUNTERING, AND INVESTIGATING TERRORIST ATTACKS THROUGH PROGNOSTIC, DETECTION, AND FORENSIC MECHANISMS FOR EXPLOSIVE PRECURSORS (101021857)
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INFINITY - IMMERSE. INTERACT. INVESTIGATE (883293)
- License (for files):
- Creative Commons Attribution 4.0 International