2023 TREC Video Retrieval Evaluation
Notebook Papers and Slides



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TRECVID 2023 Overview Papers and Slides

All papers and slides are considered DRAFT and will be updated with final versions by March 2024


Paper: TRECVID 2023 - A series of evaluation tracks in video understanding (.pdf)
G. Awad, K. Curtis, A. Butt, J. Fiscus, A. Godil, Y. Lee, E. Godard -- Information Access Division, National Institute of Standards and Technology, USA
L. Diduch -- Dakota-Consulting, Inc, USA
D. Gupta, D. D. Fushman -- National Library of Medicine, National Institutes of Health, USA
Y. Graham -- ADAPT Centre, Trinity College Dublin
G. Quénot -- Laboratoire d'Informatique de Grenoble, France

Slides: TREC Video Retrieval Evaluation (TRECVID) Introduction (.pdf)

Slides:Overview of the Medical Video Question Answering (MedVidQA) Task in TRECVID 2023 (.pdf)
D. Gupta, D. D. Fushman -- LHNCBC, National Library of Medicine (NLM), National Institutes of Health (NIH), MD, USA

Slides: TRECVID 2023 Ad-hoc Video Search Task (.pdf)
G. Quénot -- Laboratoire d'Informatique de Grenoble
G. Awad -- National Institute of Standards and Technology

Slides: TRECVID 2023 Deep Video Understanding Task Overview (.pdf)
G. Awad -- National Institute of Standards and Technology
K. Curtis -- Technological University of the Shannon, Ireland

Slides:TRECVID 2023 Video to Text Description (.pdf)
A. Butt -- National Institute of Standards and Technology; John Hopkins University
G. Awad -- National Institute of Standards and Technology
Y. Graham -- Trinity College Dublin

Beijing University of Posts and Telecommunications
Paper: BUPT-MCPRL at TRECVID 2023: Video to Text Description and ActEV SRL Challenge (.pdf)
Y. Song, H. Zhang, Z. Ma, Z. Cui, S. Jiang, Z. Cui, Y. Zhao -- Beijing University of Posts and Telecommunications, China

Slides: BUPT-MCPRL at TRECVID 2023 ActEV SRL Challenge (.pdf)
Slides: BUPT-MCPRL at TRECVID 2023 Video to Text Description (.pdf)
Doshisha University; Universität zu Lübeck and German Research Center for Artificial Intelligence
Paper: Doshisha University, Universität zu Lübeck and German Research Center for Artificial Intelligence at TRECVID 2023: MIQG Task (.pdf)
Z. Chen, M. Ohsaki, K. Shirahama -- Doshisha University, Japan
F. Li, M. S. Seibel, H. Handels, M. Grzegorzek -- Universität zu Lübeck, Germany
N. S. Brügge -- German Research Center for Artificial Intelligence, Germany

Slides: doshisha_uzl at TRECVID 2023 MIQG Task: Medical Question Generation: Leveraging Vision-Language Summarization Models and Keyword Extraction with Flan-T5 (.pdf)
Information Technologies Institute, Centre for Research and Technology Hellas
Paper: ITI-CERTH participation in AVS Task of TRECVID 2023(.pdf)
D. Galanopoulos, V. Mezaris -- Information Technologies Institute, Centre for Research and Technology Hellas, Greece

Nagaoka University of Technology
Paper: Nagaoka University of Technology Submissions to TRECVID 2023 Video to Text Task(.pdf)
M. Ishii, S. Kubosaka, T. Yukawa -- Nagaoka University of Technology, Japan

Slides: Nagaoka University of Technology at TRECVID 2023: Video to Text(.pdf)
National Institute of Informatics, Japan; University of Information Technology, VNU-HCMC, Vietnam
Paper: NII_UIT participation in AVS and DVU tracks of TRECVID 2023(.pdf)
T. T. Doan, K. Le, C. T. Nguyen, T. Do, T. PhamNguyen, T. Mai, D. Le -- University of Information Technology, VNU-HCM, Vietnam
S. Satoh -- National Institute of Informatics, Japan

Slides: NII_UIT at TRECVID 2023: Ad-hoc Video Search(.pdf)
Slides: NII_UIT at TRECVID 2023: Deep Video Understanding(.pdf)
Tianjin University
Paper: PMI_TJU at TRECVID 2023: Medical Video Question Answering(.pdf)
Z. Xu, W. Nie, Q. Li, N. Xu, Y. Zhai, Z. Lu, A. Lie -- Tianjin University, China

Slides: MI_TJU at TRECVID 2023: Medical Video Question Answering(.pdf)
Renmin University of China
Paper: RUC_AIM3 at TRECVID 2023: Video to Text Description(.pdf)
K. Wei, Z. Yue, L. Zhang, Q. Jin -- Renmin University of China, China

Slides: RUC_AIM3 at TRECVID 2023: Video to Text Description(.pdf)
Renmin University of China
Paper: Renmin University of China and Tencent at TRECVID 2023: Harnessing Pre-trained Models for Ad-hoc Video Search(.pdf)
X. Li, F. Hu, R. Zhao, Z. Wang, J. Liu, J. Liu, B. Lan, W. Kou, Y. Fu -- MOE Key Lab of DEKE; AIMC Lab, Renmin University of China, China
Z. Kang -- Tencent

Slides: Harnessing Pre-trained Models for Ad-hoc Video Search(.pdf)
University of Maryland Baltimore County
Paper: DEEP-CAM: Attention based Multi-modal Deep Learning Models for Medical Instructional Question Generation(.pdf)
S. Saha, S. Purushotham -- University of Maryland Baltimore County, USA

Slides: Attention-based Multimodal Deep Learning Models for Medical Instructional Question Generation(.pdf)
University of Applied Sciences Mittweida
Paper: University of Applied Sciences Mittweida at TRECVID 2023(.pdf)
R. Thomanek, M. Schlosser, D. Breck, B. Platte, C. Roschke, M. Ritter -- University of Applied Sciences Mittweida, Germany

Zhejiang University; University of North Carolina Wilmington; Beijing Institute of Technology; Nankai University
Paper: UNCWAI at MedVidQA 2023: T5 Model for Video Temporal Segment Prediction(.pdf)
L. Qi -- Zhejiang University, China
O. Deen, G. Dogan -- University of North Carolina Wilmington, USA
Z. Xie -- Beijing Institute of Technology, China
X. Cui -- Nankai University, China

Slides: UNCWAI at MedVidQA 2023: T5 Model for Video Temporal Segment Prediction(.pdf)
City University of Hong Kong; Singapore Management University; Shenzhen University
Paper: VIREO @ TRECVid 2023 Ad-hoc Video Search(.pdf)
J. Wu -- City University of Hong Kong
Z. Ma, C. Ngo -- Singapore Management University
S. Zhong -- Shenzhen University

Slides: Understanding AVS query by generating images and asking questions(.pdf)
Waseda University; Meisei University; SoftBank Corporation
Paper: Waseda_Meisei_SoftBank at TRECVID 2023 (.pdf)
K. Ueki -- Meisei University; Waseda University, Japan
Y. Suzuki, H. Takushima, H. Sato, T. Takada, H. Okamoto, H. Tanoue, A. M. Kumar, T. Hori, A. M. Kumar -- SoftBank Corp., Japan

Slides: Waseda_Meisei_SoftBank at TRECVID 2023 Ad-hoc Video Search(.pdf)
Wuhan University
Paper: WHU-NERCMS AT TRECVID2023 : AD-HOC VEDIO SEARCH (AVS) AND DEEP VIDEO UNDERSTANDING (DVU) TASKS(.pdf)
J. He, R. Li, J. Guo, H. Zhang, M. Li, Z. Wu, Z. Wang, B. Du, C. Liang -- Wuhan University, China

Slides: WHU-NERCMS @ TRECVID 2023 Ad-hoc Search Task(.pdf)
Slides: WHU-NERCMS @ TRECVID 2023 Deep Video Understanding Task(.pdf)

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Last updated: Wednesday, 21-Apr-2021 13:45:33 UTC
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