Foteini Markatopoulou
Anastasia Moumtzidou
Damianos Galanopoulos
Theodoros Mironidis
Vagia Kaltsa
Anastasia Ioannidou
Spyridon Symeonidis
Konstantinos Avgerinakis
Stelios Andreadis
Ilias Gialampoukidis
Stefanos Vrochidis
Alexia Briassouli
Vasileios Mezaris
Ioannis Kompatsiaris
Ioannis Patras
2016-11-30
<p>This paper provides an overview of the runs submitted to TRECVID 2016 by ITI-CERTH. ITI-CERTH participated in the Ad-hoc Video Search (AVS), Multimedia Event Detection (MED), Instance Search (INS) and Surveillance Event Detection (SED) tasks. Our AVS task participation is based on a method that combines the linguistic analysis of the query and the concept-based annotation of video fragments. In the MED task, in 000Ex task we exploit the textual description of an event class in order retrieve related videos, without using positive samples. Furthermore, in 010Ex and 100Ex tasks, a kernel sub class version of our discriminant analysis method (KSDA) combined with a fast linear SVM is employed. The INS task is performed by employing VERGE, which is an interactive retrieval application that integrates retrieval functionalities that consider only visual information. For the SED task, we deploy a novel activity detection algorithm that is based on Motion Boundary Activity Areas (MBAA), dense trajectories, Fisher vectors and an overlapping sliding window.</p>
https://doi.org/10.5281/zenodo.200498
oai:zenodo.org:200498
Zenodo
https://zenodo.org/communities/moving-h2020
https://zenodo.org/communities/invid-h2020
https://zenodo.org/communities/eu
https://doi.org/
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Multimedia Event Detection (MED)
Ad-hoc Video Search (AVS)
Instance Search (INS)
Surveillance Event Detection (SED)
Kernel Kub class Discriminant Analysis method (KSDA)
Motion Boundary Activity Areas (MBAA)
VERGE
ITI-CERTH participation in TRECVID 2016
info:eu-repo/semantics/conferencePaper