TY - GEN
T1 - Vireo-Tno @ TRECVID 2015
T2 - 2015 TREC Video Retrieval Evaluation, TRECVID 2015
AU - Zhang, Hao
AU - Lu, Yi-Jie
AU - de Boer, Maaike
AU - ter Haar, Frank
AU - Qiu, Zhaofan
AU - Schutte, Klamer
AU - Kraaij, Wessel
AU - Ngo, Chong-Wah
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2015
Y1 - 2015
N2 - 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 zero-example, 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.
AB - 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 zero-example, 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.
UR - http://www.scopus.com/inward/record.url?scp=85015342466&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85015342466&origin=recordpage
M3 - RGC 32 - Refereed conference paper (with host publication)
T3 - 2015 TREC Video Retrieval Evaluation, TRECVID 2015
BT - 2015 TREC Video Retrieval Evaluation, TRECVID 2015
PB - National Institute of Standards and Technology (NIST)
Y2 - 16 November 2015 through 18 November 2015
ER -