Title

Sri-Sarnoff Aurora System At Trecvid 2012: Multimedia Event Detection And Recounting

Abstract

In this paper, we describe the evaluation results for TRECVID 2012 Multimedia Event Detection (MED) and Multimedia Event Recounting (MER) tasks as a part of SRI-Sarnoff AURORA system that is devel-oped under the IARPA ALDDIN program. In AURORA system, we incorporated various low-level fea-tures that capture color, appearance, motion, and audio information in videos. Based on these low-level features, we developed Fixed-Pattern and Object-Orientated spatial feature pooling, which result in signif-icant performance improvement to our system. In addition, we collected more than 1800 concepts and designed a set of concept pooling approaches to build the Concept Based Event Representation (CBER, i.e., high-level features). We submitted six runs exploring various fusions of low-level features, high-level features, and ASR/OCR features for MED task. All runs achieve satisfactory results. In particular, two EK10Ex runs for both pre-specified events (PS-Events) and ad-hoc events (AH-Events) obtain relatively better 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. Furthermore, we designed evidence specific verification and detection to reduce uncertainty and improve key evidence discovery. Our MER evaluation results for MER-to-Event are very good.

Publication Date

1-1-2012

Publication Title

2012 TREC Video Retrieval Evaluation Notebook Papers

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84905263424 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84905263424

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