SAVASA Project @ TRECVid 2013: Semantic Indexing and Interactive Surveillance Event Detection

Egileak: Suzanne Little, Iveel Jargalsaikhan, Rami Albatal, Cem Direkoglu, Noel E. O’Connor, Alan F. Smeaton, Kathy Clawson, Min Jing, Bryan Scotney, Hui Wang, Jun Li, Marcos Nieto, Juan Diego Ortega, Aitor Rodriguez, Iñigo Aramburu, Emmanouil Kafetzaki

Data: 28.11.2013


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Abstract

In this paper we describe our participation in the semantic indexing (SIN) and interactive surveillance event detection (SED) tasks at TRECVid 2013 [11]. Our work was motivated by the goals of the EU SAVASA project (Standards-based Approach to Video Archive Search and Analysis) which supports search over multiple video archives. Our aims were: to assess a standard object detection methodology (SIN); evaluate contrasting runs in automatic event detection (SED) and deploy a distributed, cloud-based search interface for the interactive component of the SED task. Results from the SIN task, underlying retrospective classifiers for the surveillance event detection and a discussion of the contrasting aims of the SAVASA user interface compared with the TRECVid task requirements are presented.

BIB_text

@Article {
author = {Suzanne Little, Iveel Jargalsaikhan, Rami Albatal, Cem Direkoglu, Noel E. O’Connor, Alan F. Smeaton, Kathy Clawson, Min Jing, Bryan Scotney, Hui Wang, Jun Li, Marcos Nieto, Juan Diego Ortega, Aitor Rodriguez, Iñigo Aramburu, Emmanouil Kafetzaki},
title = {SAVASA Project @ TRECVid 2013: Semantic Indexing and Interactive Surveillance Event Detection},
keywds = {

Multimedia retrieval, object tracking, infrequent events


}
abstract = {

In this paper we describe our participation in the semantic indexing (SIN) and interactive surveillance event detection (SED) tasks at TRECVid 2013 [11]. Our work was motivated by the goals of the EU SAVASA project (Standards-based Approach to Video Archive Search and Analysis) which supports search over multiple video archives. Our aims were: to assess a standard object detection methodology (SIN); evaluate contrasting runs in automatic event detection (SED) and deploy a distributed, cloud-based search interface for the interactive component of the SED task. Results from the SIN task, underlying retrospective classifiers for the surveillance event detection and a discussion of the contrasting aims of the SAVASA user interface compared with the TRECVid task requirements are presented.


}
date = {2013-11-28},
year = {2013},
}
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