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        TITLE = "Three-Dimensional Attention-Based Deep Ranking Model for Video
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@article{bb179503,
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        TITLE = "Summarization of User-Generated Sports Video by Using Deep Action
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@inproceedings{bb179504,
        AUTHOR = "Otani, M. and Nakashima, Y. and Rahtu, E. and Heikkila, J. and Yokoya, N.",
        TITLE = "Video Summarization Using Deep Semantic Features",
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@article{bb179505,
        AUTHOR = "Chen, S. and Jin, Q. and Chen, J. and Hauptmann, A.G.",
        TITLE = "Generating Video Descriptions With Latent Topic Guidance",
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@article{bb179506,
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        TITLE = "Automatic Curation of Sports Highlights Using Multimodal Excitement
Features",
        JOURNAL = MultMed,
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        YEAR = "2019",
        NUMBER = "5",
        MONTH = "May",
        PAGES = "1147-1160",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f746su1.html#TT175026"}

@inproceedings{bb179507,
        AUTHOR = "Merler, M. and Joshi, D. and Nguyen, Q.B. and Hammer, S. and Kent, J. and Smith, J.R. and Feris, R.S.",
        TITLE = "Automatic Curation of Golf Highlights Using Multimodal Excitement
Features",
        BOOKTITLE = CVSports17,
        YEAR = "2017",
        PAGES = "57-65",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f746su1.html#TT175027"}

@inproceedings{bb179508,
        AUTHOR = "Mac, K.C. and Joshi, D. and Yeh, R. and Xiong, J. and Feris, R.S. and Do, M.N.",
        TITLE = "Learning Motion in Feature Space: Locally-Consistent Deformable
Convolution Networks for Fine-Grained Action Detection",
        BOOKTITLE = ICCV19,
        YEAR = "2019",
        PAGES = "6281-6290",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f746su1.html#TT175028"}

@article{bb179509,
        AUTHOR = "Liu, Z.K.",
        TITLE = "3DSportNet: 3D sport reconstruction by quality-aware deep multi-video
summation",
        JOURNAL = JVCIR,
        VOLUME = "65",
        YEAR = "2019",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f746su1.html#TT175029"}

@inproceedings{bb179510,
        AUTHOR = "Vats, K. and Fani, M. and Walters, P. and Clausi, D.A. and Zelek, J.",
        TITLE = "Event detection in coarsely annotated sports videos via parallel
multi receptive field 1D convolutions",
        BOOKTITLE = CVSports20,
        YEAR = "2020",
        PAGES = "3856-3865",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f746su1.html#TT175030"}

@article{bb179511,
        AUTHOR = "Qi, M. and Wang, Y. and Li, A. and Luo, J.",
        TITLE = "Sports Video Captioning via Attentive Motion Representation and Group
Relationship Modeling",
        JOURNAL = CirSysVideo,
        VOLUME = "30",
        YEAR = "2020",
        NUMBER = "8",
        MONTH = "August",
        PAGES = "2617-2633",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f746su1.html#TT175031"}

@article{bb179512,
        AUTHOR = "Liu, A.A. and Zhai, Y.C. and Xu, N. and Nie, W.Z. and Li, W.H. and Zhang, Y.D.",
        TITLE = "Region-Aware Image Captioning via Interaction Learning",
        JOURNAL = CirSysVideo,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f746su1.html#TT175032"}

@inproceedings{bb179513,
        AUTHOR = "Askari, F. and Ramaprasad, R. and Clark, J.J. and Levine, M.D.",
        TITLE = "Interaction Classification with Key Actor Detection in Multi-Person
Sports Videos",
        BOOKTITLE = CVSports22,
        YEAR = "2022",
        PAGES = "3579-3587",
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@article{bb179514,
        AUTHOR = "Chen, W. and Liu, X.F. and Niu, J.W.",
        TITLE = "SentiStory:
A Multi-Layered Sentiment-Aware Generative Model for Visual Storytelling",
        JOURNAL = CirSysVideo,
        VOLUME = "32",
        YEAR = "2022",
        NUMBER = "11",
        MONTH = "November",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f746su1.html#TT175034"}

@inproceedings{bb179515,
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@inproceedings{bb179516,
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        TITLE = "Sports Video Analysis on Large-Scale Data",
        BOOKTITLE = ECCV22,
        YEAR = "2022",
        PAGES = "XXXVII:19-36",
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@inproceedings{bb179517,
        AUTHOR = "Badamdorj, T. and Rochan, M. and Wang, Y. and Cheng, L.",
        TITLE = "Contrastive Learning for Unsupervised Video Highlight Detection",
        BOOKTITLE = CVPR22,
        YEAR = "2022",
        PAGES = "14022-14032",
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@inproceedings{bb179518,
        AUTHOR = "Wei, F. and Wang, B. and Ge, T. and Jiang, Y.N. and Li, W. and Duan, L.X.",
        TITLE = "Learning Pixel-Level Distinctions for Video Highlight Detection",
        BOOKTITLE = CVPR22,
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@inproceedings{bb179519,
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        TITLE = "UMT: Unified Multi-modal Transformers for Joint Video Moment
Retrieval and Highlight Detection",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f746su1.html#TT175039"}

@inproceedings{bb179520,
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        TITLE = "PR-Net: Preference Reasoning for Personalized Video Highlight
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@inproceedings{bb179521,
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        TITLE = "Toward Improving The Visual Characterization of Sport Activities With
Abstracted Scene Graphs",
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@inproceedings{bb179522,
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        TITLE = "LoL-V2T: Large-Scale Esports Video Description Dataset",
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@inproceedings{bb179523,
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        TITLE = "Mini-Net: Multiple Instance Ranking Network for Video Highlight
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        PAGES = "XIII:345-360",
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@inproceedings{bb179524,
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        BOOKTITLE = ICCVG20,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f746su1.html#TT175044"}

@inproceedings{bb179525,
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@inproceedings{bb179526,
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Adversarially Enhanced Audio/Visual Features",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f746su1.html#TT175046"}

@inproceedings{bb179527,
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@inproceedings{bb179528,
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        TITLE = "Fine-grain Level Sports Video Search Engine",
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@inproceedings{bb179529,
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Semantic Visual Analysis",
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@inproceedings{bb179530,
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@inproceedings{bb179531,
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@inproceedings{bb179532,
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@inproceedings{bb179533,
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@inproceedings{bb179534,
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@inproceedings{bb179535,
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@inproceedings{bb179536,
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@inproceedings{bb179537,
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@inproceedings{bb179538,
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@inproceedings{bb179539,
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@inproceedings{bb179540,
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@inproceedings{bb179541,
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with a common audio feature extraction framework",
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Markov models",
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A multimodal approach based on controlled Markov chains",
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@inproceedings{bb179566,
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@inproceedings{bb179567,
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        YEAR = "2007",
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@article{bb179568,
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@article{bb179569,
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        TITLE = "Soccer video processing for the detection of advertisement billboards",
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@article{bb179570,
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semantics acquisition",
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@inproceedings{bb179571,
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        TITLE = "An instant semantics acquisition system of live soccer video with
application to live event alert and on-the-fly language selection",
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@article{bb179572,
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matches",
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@inproceedings{bb179573,
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@inproceedings{bb179574,
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Sport Players Classification",
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@inproceedings{bb179575,
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@inproceedings{bb179576,
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@inproceedings{bb179577,
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Integration",
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interactions between ball and players",
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in football videos",
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@article{bb179585,
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@article{bb179586,
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@article{bb179588,
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@inproceedings{bb179593,
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@inproceedings{bb179594,
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@article{bb179595,
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@article{bb179596,
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@article{bb179597,
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@article{bb179598,
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@article{bb179599,
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