Vireo-Tno @ TRECVID 2015 : Multimedia event detection

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

3 Scopus Citations
View graph of relations

Author(s)

  • Maaike de Boer
  • Frank ter Haar
  • Zhaofan Qiu
  • Klamer Schutte
  • Wessel Kraaij

Detail(s)

Original languageEnglish
Title of host publication2015 TREC Video Retrieval Evaluation, TRECVID 2015
PublisherNational Institute of Standards and Technology (NIST)
Publication statusPublished - 2015

Publication series

Name2015 TREC Video Retrieval Evaluation, TRECVID 2015

Conference

Title2015 TREC Video Retrieval Evaluation, TRECVID 2015
PlaceUnited States
CityGaithersburg
Period16 - 18 November 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 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.

Bibliographic Note

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 lbscholars@cityu.edu.hk.

Citation Format(s)

Vireo-Tno @ TRECVID 2015 : Multimedia event detection. / Zhang, Hao; Lu, Yi-Jie; de Boer, Maaike; ter Haar, Frank; Qiu, Zhaofan; Schutte, Klamer; Kraaij, Wessel; Ngo, Chong-Wah.

2015 TREC Video Retrieval Evaluation, TRECVID 2015. National Institute of Standards and Technology (NIST), 2015. (2015 TREC Video Retrieval Evaluation, TRECVID 2015).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review