Title
VIREO-TNO @ TRECVID 2015: Multimedia Event Detection
Author
Zhang, H.
Yi-Jie Lu, Y.
Boer, M.H.T de
ter Haar, F.B.
Zhaofan, Q.
Schutte, K.
Kraaij, W.
Ngo, C.
Publication year
2015
Abstract
This paper presents an overview and comparative analysis of our systems designed for the TRECVID 2015 [1] multimedia event detection (MED) task. We submitted 17 runs, of which 5 each for the zeroexample, 10-example and 100-example subtasks for the Pre-Specified (PS) event detection and 2 runs for the 10-example subtask for the Ad-Hoc (AH) event detection. We did not participate in the Interactive Run. This year we focus on three different parts of the MED task: 1) extending the size of our concept bank and combining it with improved dense trajectories; 2) exploring strategies for semantic query generation (SQG); and 3) combining our visual classifiers with audio and/or textual classifiers. Among our 17 submitted runs, the following runs achieved top performances: - VIREO MED15 MED15EvalFull PS 0Ex MED p-manualfused 1: zero-example system with manual SQG, fused with textual (OCR) and speech (ASR) information. - VIREO MED15 MED15EvalFull PS 10Ex MED p-ConceptBankIDTEK0OCR 1: 10-example system using our Concept-Bank feature fused with the improved dense trajectories and the 0Ex manual visual system and OCR. - VIREO MED15 MED15EvalFull PS 100Ex MED c-ConceptBankIDTJointProb 1: 100-example system using Concept-Bank feature fused with the improved dense trajectories, using the joint probability to create the score.
Subject
2016 ICT 2015 Observation, Weapon & Protection Systems
DSC - Data Science II - Intelligent Imaging
To reference this document use:
http://resolver.tudelft.nl/uuid:62da7328-23b7-44ae-87a8-4fda006de2b5
TNO identifier
868829
Source
Paper presented at TRECVID Workshop 2015, United States.
Document type
conference paper