Publication Type
Conference Paper
Version
publishedVersion
Publication Date
11-2014
Abstract
This paper presents an overview and comparative analysis of our systems designed for TRECVID 2014 [1] multimedia event detection (MED) and recounting (MER) tasks, including all sub-tasks for Pre-Specified (PS) event detection, all sub-tasks except 100Ex for Ad-Hoc (AH) event detection, and 010Ex sub-task for both PS and AH event recounting. Multimedia Event Detection (MED) : Our main focus for the MED task is on the study of a new zero-example system, which aims to solve the 000Ex and SQ problems. The system can run either fully automatically or semi-automatically. Specifically, we test the automatic run in 000Ex submission and the semi-automatic run in SQ submission. Multimedia Event Recounting (MER) : For the 010Ex sub-tasks of both PS and AH event recounting, we design and implement a simple but effective system to optimize the concept-to-event relevance, evidence diversity and timing of evidential shots. We show that good performance can be achieved by only selecting the three shots with the highest confidence.
Discipline
Computer Sciences | Graphics and Human Computer Interfaces
Research Areas
Intelligent Systems and Optimization
Publication
2014 TREC Video Retrieval Evaluation, TRECVID 2014, Orlando, November 10-12
Publisher
ACM
City or Country
Orlando
Citation
NGO, Chong-wah; LU, Yi-Jie; ZHANG, Hao; YAO, Ting; TAN, Chun-Chet; PANG, Lei; DE BOER, Maaike; SCHAVEMAKER, John; SCHUTTE, Klamer; and KRAAIJ, Wessel.
Vireo-Tno @ TRECVID 2014: Multimedia event detection and recounting (MED and MER). (2014). 2014 TREC Video Retrieval Evaluation, TRECVID 2014, Orlando, November 10-12.
Available at: https://ink.library.smu.edu.sg/sis_research/6646
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.