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Published February 23, 2018 | Version v1
Conference paper Open

ITI-CERTH participation in TRECVID 2017

Description

This paper provides an overview of the runs submitted to TRECVID 2017 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 with concept-based and semantic-embedding representations of video fragments. Regarding the MED task, this year we participate on Pre-Specied and Ah-Hoc sub-tasks exploiting both motion-based as well as DCNN-based features. The INS task is performed by employing VERGE, which is an interactive retrieval application that integrates retrieval functionalities that consider mainly visual information. For the SED task, we deploy a novel activity detection algorithm that is based on human detection in video frames, goal descriptors, dense trajectories, Fisher vectors and a discriminative action segmentation scheme.

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Additional details

Funding

beAWARE – Enhancing decision support and management services in extreme weather climate events 700475
European Commission
TENSOR – Retrieval and Analysis of Heterogeneous Online Content for Terrorist Activity Recognition 700024
European Commission
InVID – In Video Veritas – Verification of Social Media Video Content for the News Industry 687786
European Commission
EMMA – Enriching Market solutions for content Management and publishing with state of the art multimedia Analysis techniques 732665
European Commission