2022 TREC Video Retrieval Evaluation
Notebook Papers and Slides



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TRECVID 2022 Overview Papers and Slides

All papers and slides will be updated with final versions as they arrive


Paper: An Overview on the Evaluated Video Retrieval Tasks at TRECVID 2022 (.pdf)
G. Awad, A. Butt, K. Curtis, J. Fiscus, A. Godil, Y. Lee, A. Delgado, J. Zhang, E. Godard, B. Chocot -- Information Access Division, National Institute of Standards and Technology, USA
L. Diduch -- Dakota-Consulting, Inc, USA
J. Liu -- MIT Lincoln Laboratory, USA
Y. Graham -- ADAPT Centre, Trinity College Dublin
G. Quénot -- Laboratoire d'Informatique de Grenoble, France

Slides: TREC Video Retrieval Evaluation (TRECVID) Introduction (.pdf)
I. Soboroff, K. Curtis, A. Ellis, D. Dimmick, J. Fiscus, Y. Lee, A. godil, A. Delgado, E. Godard, B. Chocot -- National Institute of Standards and Technology
G. Awad -- National Institute of Standards and Technology
A. Butt -- National Institute of Standards and Technology; John Hopkins University
L. Diduch -- National Institute of Standards and Technology; Dakota Consulting, Inc
Y. Graham -- Trinity College Dublin
G. Quénot -- Laboratoire d'Informatique de Grenoble
J. Liu -- MIT Lincoln Laboratory

Slides: TRECVID 2022 Ad-hoc Video Search Task (.pdf)
G. Quénot -- Laboratoire d'Informatique de Grenoble
G. Awad -- National Institute of Standards and Technology

Slides: TRECVID 2022 Deep Video Understanding Task (.pdf)
G. Awad -- National Institute of Standards and Technology
K. Curtis -- National Institute of Standards and Technology

Slides:TRECVID 2022 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

Slides: ActEV22: Activities in Extended Video (.pdf)
J. Fiscus, Y. Lee, A. Delgado, A. Godil, B. Chocot, E. Godard, J. Golden -- National Institute of Standards and Technology
L. Diduch -- Dakota Consulting, Inc

Slides: TRECVID 2022 Movie Summarization Task (.pdf)
G. Awad -- National Institute of Standards and Technology
K. Curtis -- National Institute of Standards and Technology

Slides: TRECVID 2022 Disaster Scene Description and Indexing Task (.pdf)
A. Butt -- National Institute of Standards and Technology; John Hopkins University
J. Liu -- MIT Lincoln Laboratory
G. Awad -- National Institute of Standards and Technology

Dublin City University
Paper: DCU ADAPT at TRECVID 2022: Deep Video Understanding Challenge (.pdf)
A. Potyagalova, G. J. F. Jones -- ADAPT Centre, School of Computing, Dublin City University, Ireland

Slides: DCU ADAPT at TRECVID 2022 Deep Video Understanding Challenge (.pdf)
Beijing University of Posts and Telecommunications
Paper: BUPT-MCPRL at TRECVID 2022 (.pdf)
H. Zhao, Z. Tong, Y. Xiao, S. Qian, S. Li, Z. Tian, Y. Zhao, F. Su, Z. Zhao -- Beijing University of Posts and Telecommunications, China

Slides: BUPT-MCPRL at TRECVID 2022 ActEV SRL Challenge (.pdf)
Columbia University, Graphen Inc, and Microsoft Corporation
Paper: Semantic Understanding and Evolving Interaction Tracking in Long-form Multimodal Datasets(.pdf)
V. Anand Y. Dong, R. Ramesh, Z. Chen, L. Li, C. Lin -- Columbia University, USA
Y. Chen -- Graphen Inc.

Slides: Semantic Understanding with Interaction Tracking in Long-form Multimodal Sources(.pdf)
Elyadata
Paper: Elyadata TRECVID 2022 VTT Model(.pdf)
H. Elleuch, F. Bougares, A. Badri -- ELYADATA, Tunisia

Poster: Elyadata TRECVID 2022 VTT Model(.pdf)
Information Technologies Institute, Centre for Research and Technology Hellas
Paper: ITI-CERTH participation in ActEV and AVS Tracks of TRECVID 2022(.pdf)
K. Gkountakos, D. Galanopoulos, D. Touska, K. Ioannidis, S. Vrochidis, V. Mezaris, I. Kompatsiaris -- Information Technologies Institute, Centre for Research and Technology Hellas, Greece

Slides: ITI-CERTH participation in ActEV and AVS Tracks of TRECVID 2022. Human and vehicle activity detection and recognition from untrimmed videos(.pdf)
Slides: Combining textual and visual features into multiple joint latent spaces, and introducing dual softmax re ranking, for Ad hoc Video Search(.pdf)
Kindai University; Osaka Gakuin University; Osaka University
Paper: Kindai University, Osaka Gakuin University and Osaka University at TRECVID 2022 AVS Task(.pdf)
K. Shirahama, K. Fujioka, T. Shinno -- Kindai University, Japan
T. Matsubara -- Graduate School of Engineering Science, Osaka University, Japan
K. Uehara -- Department of Business Administration, Osaka Gakuin University, Japan

Slides: kindai_ogu_osaka at TRECVID 2022 AVS Task: A Hierarchical Approach to Dynamically Treat Meanings of Words and Phrases(.pdf)
Nagaoka University of Technology
Paper: Nagaoka University of Technology Submissions to TRECVID 2022 Video to Text Task(.pdf)
T. Mashimo, M. Ishii, T. Yukawa -- Nagaoka University of Technology, Niigata, Japan

Slides: Nagaoka University of Technology at TRECVID 2022: Video to Text(.pdf)
National Institute of Informatics, Japan; University of Information Technology, VNU-HCMC, Vietnam
Paper: NII_UIT at TRECVID 2022: Movie Summarization Task(.pdf)
N. Nguyen, T. H. Nguyen, C. N. Thanh, H. Vo, K. Le, T. Mai, T. PhamNguyen, D. Le -- University of Information Technology, VNU-HCM, Vietnam
S. Satoh -- National Institute of Informatics, Japan

Slides: NII_UIT at TRECVID 2022: Movie Summarization Task(.pdf)
Peking University
Paper: PKU_WICT at TRECVID 2022: Disaster Scene Description and Indexing Task(.pdf)
Y. Chen, H. Hsu, J. Ye, Z. Yang, Z. Wang, X. He, Y. Peng -- Wangxuan Institute of Computer Technology, Peking University, Beijing 100871, China

Slides: PKU_WICT at TRECVID 2022: Disaster Scene Description and Indexing Task(.pdf)
Renmin University of China
Paper: RUCAIM3-Tencent at TRECVID 2022: Video to Text Description(.pdf)
Z. Yue, Y. Liu, L. Zhang, L. Yao, Q. Jin -- Renmin University of China, China

Slides: RUCAIM3-Tencent at TRECVID 2022: Video to Text Description(.pdf)
Poster: Leveraging VLP models for cross modal video retrieval(.pdf)
Renmin University of China
Paper: Renmin University of China at TRECVID 2022: Improving Video Search by Feature Fusion and Negation Understanding(.pdf)
X. Li, A. Chen, Z. Wang, F. Hu, K. Tian, X. Chen, C. Dong -- Renmin University of China, China

Slides: Feature Fusion and Negation Understanding for Ad-hoc Video Search(.pdf)
Tokyo Institute of Technology
Paper: Tokyo Tech at TRECVID 2022: Multi-Stage Framework for Video Action Detection(.pdf)
R. P. Amorim, N. Inoue, K. Shinoda -- Tokyo Institute of Technology

John Hopkins University and University of Maryland
Paper: A proposal-based solution to spatio-temporal action detection in untrimmed videos(.pdf)
K. Shah, R. Chellappa -- John Hopkins University, USA
J. Gleason -- University of Maryland, College Park, USA

Slides: A proposal-based solution to spatio-temporal action detection in untrimmed videos(.pdf)
University of Missouri-Kansas City
Paper: University of Missouri-Kansas City TRECVID 2022 DSDI Track(.pdf)
Y. Tao -- University of Miami, USA
S. Chen, M. Shyu -- University of Missouri-Kansas City, USA

Carnegie Mellon University
Paper: CMU-VIDION: MODIFIED BLIP WITH AUDIO FOR VIDEO TO TEXT DESCRIPTION(.pdf)
L. J. Yao, J. B. Li, F. Metze -- Carnegie Mellon University, USA

Slides: CMU-VIDION: Modified BLIP with Audio for Video to Text Description(.pdf)
City University of Hong Kong
Paper: VIREO @ TRECVID 2022 Ad-hoc Video Search(.pdf)
J. Wu -- City University of Hong Kong
Z. Ma, C. Ngo -- Singapore Management University

Waseda University; Meisei University; SoftBank Corporation
Paper: Waseda_Meisei_SoftBank at TRECVID 2022 (.pdf)
K. Ueki -- Department of Information Science, Meisei University, Japan; Faculty of Science and Engineering, Waseda University
Y. Suzuki, H. Takushima, H. Okamoto, H. Tanoue, T. Hori -- SoftBank Corp., Japan

Slides: Waseda_Meisei_SoftBank at TRECVID 2022 Video to Text Description(.pdf)
Slides: Waseda_Meisei_SoftBank at TRECVID 2022 Ad-hoc Video Search(.pdf)
Slides: Waseda_Meisei_SoftBank at TRECVID 2022 Activities in extended videos(.pdf)
Wuhan University
Paper: WHU-NERCMS AT TRECVID2022 : DEEP VIDEO UNDERSTANDING TASK(.pdf)
A. Lu, J. Guo, K. Zhao, Y. Sun, R. Li, C. Liang -- National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University

Slides: WHU-NERCMS @ TRECVID 2022 : DEEP VIDEO UNDERSTANDING TASK(.pdf)
Hangzhou Dianzi University
Paper: MLVC_HDU@TRECVID 2022: Video to Text (VTT) and Activities in Extended Video (ActEV) Tasks(.pdf)
P. Li, T. Wang, X. Ye -- School of Computer Science, Hangzhou Dianzi University Hangzhou, China

Poster: Dynamic Interactive Aggregation Network for TRECVID'22 ActEV Task(.pdf)
Poster: Semantic Alignment Network for Video Captioning(.pdf)

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