Informedia e-lamp @ TRECVID 2012 multimedia event detection and recounting MED and MER

Publication Type:
Conference Proceeding
Citation:
2012 TREC Video Retrieval Evaluation Notebook Papers, 2012
Issue Date:
2012-01-01
Full metadata record
Files in This Item:
Filename Description Size
Informedia E-Lamp@TRECVID 2012- Multimedia Event Detection and Re.pdfPublished version2.42 MB
Adobe PDF
We report on our system used in the TRECVID 2012 Multimedia Event Detection (MED) and Multimedia Event Recounting (MER) tasks. For MED, it consists of three main steps: extracting features, training detectors and fusion. In the feature extraction part, we extract many low-level, high-level, and text features. Those features are then represented in three different ways which are spatial bag-of words with standard tiling, spatial bag-of-words with feature and event specific tiling and the Gaussian Mixture Model Super Vector. In the detector training and fusion, two classifiers and three fusion methods are employed. The results from both the official sources and our internal evaluations show good performance of our system. Our MER system utilizes a subset of features and detection results from the MED system from which the recounting is generated.
Please use this identifier to cite or link to this item: