Florida International University - University of Miami Trecvid 2014

Miguel Gavidia; Tarek Sayed; Yilin Yan; Quisha Zhu; Mei Ling Shyu; Shu Ching Chen; Hsin Yu Ha; Ming Ma; Winnie Chen; Tiffany Chen

Florida International University - University of Miami Trecvid 2014

Miguel Gavidia, Tarek Sayed, Yilin Yan, Quisha Zhu, Mei Ling Shyu, Shu Ching Chen, Hsin Yu Ha, Ming Ma, Winnie Chen, Tiffany Chen

Electrical and Computer Engineering

Research output: Contribution to conference › Paper

Abstract

This paper demonstrates the framework and results from the team “Florida International University - University of Miami (FIU-UM)” in TRECVID 2014 Semantic Indexing (SIN) task [Smeaton09]. Two runs were submitted, and the summary of these four runs are as follows: 2B_M_A_FIU-UM.14_3: RSPM (Collateral Representative Subspace Projection Modeling) - RSPM based ranking using key frame (KF) features. 2B_M_A_FIU-UM.14_4: RSPM - RSPM based ranking using KF features. In Runs 1 and 2, the same baseline RSPM-based model is applied. We utilized the approach that was used in the 2012 SIN task to see if we could continue to improve the gains. However as a result, the performance was poor and provided no discernible gains.

Original language	English (US)
State	Published - Jan 1 2020
Event	2014 TREC Video Retrieval Evaluation, TRECVID 2014 - Orlando, United States Duration: Nov 10 2014 → Nov 12 2014

Conference

Conference	2014 TREC Video Retrieval Evaluation, TRECVID 2014
Country	United States
City	Orlando
Period	11/10/14 → 11/12/14

ASJC Scopus subject areas

Information Systems
Signal Processing
Electrical and Electronic Engineering

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Gavidia, M., Sayed, T., Yan, Y., Zhu, Q., Shyu, M. L., Chen, S. C., Ha, H. Y., Ma, M., Chen, W., & Chen, T. (2020). Florida International University - University of Miami Trecvid 2014. Paper presented at 2014 TREC Video Retrieval Evaluation, TRECVID 2014, Orlando, United States.

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abstract = "This paper demonstrates the framework and results from the team “Florida International University - University of Miami (FIU-UM)” in TRECVID 2014 Semantic Indexing (SIN) task [Smeaton09]. Two runs were submitted, and the summary of these four runs are as follows: 2B_M_A_FIU-UM.14_3: RSPM (Collateral Representative Subspace Projection Modeling) - RSPM based ranking using key frame (KF) features. 2B_M_A_FIU-UM.14_4: RSPM - RSPM based ranking using KF features. In Runs 1 and 2, the same baseline RSPM-based model is applied. We utilized the approach that was used in the 2012 SIN task to see if we could continue to improve the gains. However as a result, the performance was poor and provided no discernible gains.",

author = "Miguel Gavidia and Tarek Sayed and Yilin Yan and Quisha Zhu and Shyu, {Mei Ling} and Chen, {Shu Ching} and Ha, {Hsin Yu} and Ming Ma and Winnie Chen and Tiffany Chen",

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T1 - Florida International University - University of Miami Trecvid 2014

AU - Gavidia, Miguel

AU - Sayed, Tarek

AU - Yan, Yilin

AU - Zhu, Quisha

AU - Shyu, Mei Ling

AU - Chen, Shu Ching

AU - Ha, Hsin Yu

AU - Ma, Ming

AU - Chen, Winnie

AU - Chen, Tiffany

PY - 2020/1/1

Y1 - 2020/1/1

N2 - This paper demonstrates the framework and results from the team “Florida International University - University of Miami (FIU-UM)” in TRECVID 2014 Semantic Indexing (SIN) task [Smeaton09]. Two runs were submitted, and the summary of these four runs are as follows: 2B_M_A_FIU-UM.14_3: RSPM (Collateral Representative Subspace Projection Modeling) - RSPM based ranking using key frame (KF) features. 2B_M_A_FIU-UM.14_4: RSPM - RSPM based ranking using KF features. In Runs 1 and 2, the same baseline RSPM-based model is applied. We utilized the approach that was used in the 2012 SIN task to see if we could continue to improve the gains. However as a result, the performance was poor and provided no discernible gains.

AB - This paper demonstrates the framework and results from the team “Florida International University - University of Miami (FIU-UM)” in TRECVID 2014 Semantic Indexing (SIN) task [Smeaton09]. Two runs were submitted, and the summary of these four runs are as follows: 2B_M_A_FIU-UM.14_3: RSPM (Collateral Representative Subspace Projection Modeling) - RSPM based ranking using key frame (KF) features. 2B_M_A_FIU-UM.14_4: RSPM - RSPM based ranking using KF features. In Runs 1 and 2, the same baseline RSPM-based model is applied. We utilized the approach that was used in the 2012 SIN task to see if we could continue to improve the gains. However as a result, the performance was poor and provided no discernible gains.

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