Sri-Sarnoff Aurora at TRECVID 2014: Multimedia event detection and recounting

Hui Cheng, Jingen Liu, Ishani Chakraborty, Guang Chen, Qiguang Liu, Mohamed Elhoseiny, Gary Gan, Ajay Divakaran, Harpreet S. Sawhney, James Allan, John Foley, Mubarak Shah, Afshin Dehghan, Michael Witbrock, Jon Curtis

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations


In Multimedia Event Detection 2014 evaluation [20], SRI Aurora team participated in task 000Ex, 010Ex and 100Ex with full system evaluation. Aurora system extracts multi-modality features including motion features, static image feature, and audio features from videos, and represents a video with Bag-of-Word (BOW) and Fisher Vector model. In addition, various high-level concept features have been explored. Other than the action concept features and SIN features, deep learning based semantic features including both DeCaf and Overfeat implementation have been explored. The deep-learning features achieve good performance for MED, but they are not the right features for MER. In particular, we performed further study on semi-supervised Automatic Annotation to expand our action concepts. To distinguish event categories efficiently and effectively, we introduce Linear SVM into our system, as well as the feature-mapping technique to approximate the Histogram Intersection Kernel for BOW video model. All the modalities are fused by an ensemble of classifiers including techniques such as Logistic Regression, SVR, Boosting, and so on. Eventually, we achieve satisfied achieved satisfactory results. In MER task, we developed an approach to provide a breakdown of the evidences of why the MED decision has been made by exploring the SVM-based event detector.

Original languageEnglish (US)
StatePublished - 2020
Event2014 TREC Video Retrieval Evaluation, TRECVID 2014 - Orlando, United States
Duration: Nov 10 2014Nov 12 2014


Conference2014 TREC Video Retrieval Evaluation, TRECVID 2014
Country/TerritoryUnited States

Bibliographical note

Publisher Copyright:
© 2020 2014 TREC Video Retrieval Evaluation. All rights reserved.

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Electrical and Electronic Engineering


Dive into the research topics of 'Sri-Sarnoff Aurora at TRECVID 2014: Multimedia event detection and recounting'. Together they form a unique fingerprint.

Cite this