On Demand Real Time, LiveClips,
2011
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Lu, H.[Hong],
Tan, Y.P.[Yap-Peng],
Unsupervised clustering of dominant scenes in sports video,
PRL(24), No. 15, November 2003, pp. 2651-2662.
Elsevier DOI
0308
BibRef
Earlier: A2, A1:
Model-based clustering and analysis of video scenes,
ICIP02(I: 617-620).
IEEE DOI
0210
BibRef
Li, B.X.[Bao-Xin],
Errico, J.H.[James H.],
Pan, H.[Hao],
Sezan, M.I.[M. Ibrahim],
Bridging the semantic gap in sports video retrieval and summarization,
JVCIR(15), No. 3, September 2004, pp. 393-424.
Elsevier DOI
0711
Semantic video analysis; Video summarization; Event detection
BibRef
Li, B.X.[Bao-Xin], and
Sezan, M.I.[M. Ibrahim],
Semantic sports video analysis: approaches and new applications,
ICIP03(I: 17-20).
IEEE DOI
0312
BibRef
Earlier:
Event Detection and Summarization in Sports Video,
CVPR01(Demos 29-30).
0110
BibRef
And:
CBAIVL01(132).
IEEE DOI
0110
BibRef
Li, B.X.[Bao-Xin],
Summarization of Sumo Video Content,
US_Patent7,120,873, Oct 10, 2006
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0610
Li, B.X.[Bao-Xin],
Sampsell, J.B.[Jeffrey B.],
Summarization of Baseball Video Content,
US_Patent7,143,354, Nov 28, 2006
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BibRef
0611
Li, B.X.[Bao-Xin],
Summarization of video content,
US_Patent7,203,620, Apr 10, 2007
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And:
Processing of video content,
US_Patent7,006,945, Feb 28, 2006
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And:
US_Patent7,047,157, May 16, 2006
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And:
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Nitta, N.[Naoko],
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0907
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Babaguchi, N.[Noboru],
Kitahashi, T.,
Extracting Actors, Actions and Events from Sports Video:
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ICPR00(Vol IV: 718-721).
IEEE DOI
0009
BibRef
Babaguchi, N.[Noboru],
Towards Abstracting Sports Video by Highlights,
ICME00(WP5).
0007
BibRef
Chen, F.[Fan],
de Vleeschouwer, C.[Christophe],
Formulating Team-Sport Video Summarization as a Resource Allocation
Problem,
CirSysVideo(21), No. 2, February 2011, pp. 193-205.
IEEE DOI
1103
BibRef
Earlier:
A resource allocation framework for summarizing team sport videos,
ICIP09(4349-4352).
IEEE DOI
0911
BibRef
Patrikakis, C.Z.[Charalampos Z.],
Papaoulakis, N.[Nikolaos],
Papageorgiou, P.[Panagiotis],
Pnevmatikakis, A.[Aristodemos],
Chippendale, P.[Paul],
Nunes, M.[Mario],
Cruz, R.S.[Rui Santos],
Poslad, S.[Stefan],
Wang, Z.C.[Zhen-Chen],
Personalized Coverage of Large Athletic Events,
MultMedMag(18), No. 4, October-December 2011, pp. 18-29.
IEEE DOI
1112
BibRef
Ouyang, J.Q.[Jian-Quan],
Liu, R.R.[Ren-Ren],
Ontology reasoning scheme for constructing meaningful sports video
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IET-IPR(7), No. 4, 2013, pp. 324-334.
DOI Link
1307
BibRef
Sainio, J.[Jani],
Westerholm, J.[Jan],
Oksanen, J.[Juha],
Generating Heat Maps of Popular Routes Online from Massive Mobile
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IJGI(4), No. 4, 2015, pp. 1813.
DOI Link
1511
BibRef
Javed, A.,
Bajwa, K.B.,
Malik, H.,
Irtaza, A.,
An Efficient Framework for Automatic Highlights Generation from
Sports Videos,
SPLetters(23), No. 7, July 2016, pp. 954-958.
IEEE DOI
1608
computational complexity
BibRef
Turchini, F.[Francesco],
Seidenari, L.[Lorenzo],
del Bimbo, A.[Alberto],
Understanding and localizing activities from correspondences of
clustered trajectories,
CVIU(159), No. 1, 2017, pp. 128-142.
Elsevier DOI
1706
BibRef
Earlier:
Understanding Sport Activities from Correspondences of Clustered
Trajectories,
CVSports15(760-767)
IEEE DOI
1602
Action recognition.
Computer vision
BibRef
Kasiri-Bidhendi, S.[Soudeh],
Fookes, C.[Clinton],
Sridharan, S.[Sridha],
Morgan, S.[Stuart],
Fine-grained action recognition of boxing punches from depth imagery,
CVIU(159), No. 1, 2017, pp. 143-153.
Elsevier DOI
1706
Fine-grained, action, recognition
BibRef
Boukadida, H.[Haykel],
Berrani, S.A.[Sid-Ahmed],
Gros, P.[Patrick],
Automatically Creating Adaptive Video Summaries Using Constraint
Satisfaction Programming: Application to Sport Content,
CirSysVideo(27), No. 4, April 2017, pp. 920-934.
IEEE DOI
1704
BibRef
Earlier:
A Novel Modeling for Video Summarization Using Constraint Satisfaction
Programming,
ISVC14(II: 208-219).
Springer DOI
1501
BibRef
Kasiri-Bidhendi, S.[Soudeh],
Fookes, C.[Clinton],
Morgan, S.[Stuart],
Martin, D.T.[David T.],
Sridharan, S.[Sridha],
Combat sports analytics: Boxing punch classification using overhead
depth imagery,
ICIP15(4545-4549)
IEEE DOI
1512
Sports analytics; body part detection; boxing; punch classification
BibRef
Jiao, Y.F.[Yi-Fan],
Li, Z.T.[Zhe-Tao],
Huang, S.C.[Shu-Cheng],
Yang, X.S.[Xiao-Shan],
Liu, B.[Bin],
Zhang, T.Z.[Tian-Zhu],
Three-Dimensional Attention-Based Deep Ranking Model for Video
Highlight Detection,
MultMed(20), No. 10, October 2018, pp. 2693-2705.
IEEE DOI
1810
feature extraction, image segmentation,
learning (artificial intelligence), neural nets, deep ranking
BibRef
Jiao, Y.F.[Yi-Fan],
Yang, X.S.[Xiao-Shan],
Zhang, T.Z.[Tian-Zhu],
Huang, S.C.[Shu-Cheng],
Xu, C.S.[Chang-Sheng],
Video Highlight Detection via Deep Ranking Modeling,
PSIVT17(28-39).
Springer DOI
1802
BibRef
Tejero-de-Pablos, A.,
Nakashima, Y.[Yuta],
Sato, T.,
Yokoya, N.[Naokazu],
Linna, M.,
Rahtu, E.[Esa],
Summarization of User-Generated Sports Video by Using Deep Action
Recognition Features,
MultMed(20), No. 8, August 2018, pp. 2000-2011.
IEEE DOI
1808
feature extraction, image segmentation, neural nets, sport,
video signal processing, high-level semantics,
long short-term memory
BibRef
Otani, M.[Mayu],
Nakashima, Y.[Yuta],
Rahtu, E.[Esa],
Heikkilä, J.[Janne],
Yokoya, N.[Naokazu],
Video Summarization Using Deep Semantic Features,
ACCV16(V: 361-377).
Springer DOI
1704
BibRef
Chen, S.,
Jin, Q.,
Chen, J.,
Hauptmann, A.G.,
Generating Video Descriptions With Latent Topic Guidance,
MultMed(21), No. 9, September 2019, pp. 2407-2418.
IEEE DOI
1909
Task analysis, Decoding, Predictive models, Sports, Acoustics,
Visualization, Semantics, Video Captioning, Latent Topic, Multimodal Ensemble
BibRef
Merler, M.,
Mac, K.C.,
Joshi, D.,
Nguyen, Q.B.,
Hammer, S.,
Kent, J.,
Xiong, J.,
Do, M.N.,
Smith, J.R.,
Feris, R.S.,
Automatic Curation of Sports Highlights Using Multimodal Excitement
Features,
MultMed(21), No. 5, May 2019, pp. 1147-1160.
IEEE DOI
1905
BibRef
Earlier: A1, A3, A4, A5, A6, A9, A10, Only:
Automatic Curation of Golf Highlights Using Multimodal Excitement
Features,
CVSports17(57-65)
IEEE DOI
1709
feature extraction, information retrieval,
learning (artificial intelligence), meta data,
multimodal video analysis.
Games, TV, Training, Training data, Visualization
BibRef
Mac, K.C.,
Joshi, D.,
Yeh, R.,
Xiong, J.,
Feris, R.S.,
Do, M.N.,
Learning Motion in Feature Space: Locally-Consistent Deformable
Convolution Networks for Fine-Grained Action Detection,
ICCV19(6281-6290)
IEEE DOI
2004
convolutional neural nets, feature extraction, Deformable models,
image motion analysis, learning (artificial intelligence).
BibRef
Liu, Z.K.[Zhen-Kun],
3DSportNet: 3D sport reconstruction by quality-aware deep multi-video
summation,
JVCIR(65), 2019, pp. 102651.
Elsevier DOI
1912
3D reconstruction, Quality model, Weakly-supervised learning
BibRef
Vats, K.,
Fani, M.,
Walters, P.,
Clausi, D.A.,
Zelek, J.,
Event detection in coarsely annotated sports videos via parallel
multi receptive field 1D convolutions,
CVSports20(3856-3865)
IEEE DOI
2008
Videos, Poles and towers, Event detection, Games, Task analysis, Computer vision
BibRef
Qi, M.,
Wang, Y.,
Li, A.,
Luo, J.,
Sports Video Captioning via Attentive Motion Representation and Group
Relationship Modeling,
CirSysVideo(30), No. 8, August 2020, pp. 2617-2633.
IEEE DOI
2008
Sports, Visualization, Trajectory, Semantics, Task analysis,
Logic gates, Games, Sports video, video captioning,
RNN
BibRef
Liu, A.A.[An-An],
Zhai, Y.C.[Ying-Chen],
Xu, N.[Ning],
Nie, W.Z.[Wei-Zhi],
Li, W.H.[Wen-Hui],
Zhang, Y.D.[Yong-Dong],
Region-Aware Image Captioning via Interaction Learning,
CirSysVideo(32), No. 6, June 2022, pp. 3685-3696.
IEEE DOI
2206
Visualization, Semantics, Task analysis, Proposals, Learning systems,
Sports, Feature extraction, Region modeling, interaction learning,
image captioning
BibRef
Askari, F.[Farzaneh],
Ramaprasad, R.[Rohit],
Clark, J.J.[James J.],
Levine, M.D.[Martin D.],
Interaction Classification with Key Actor Detection in Multi-Person
Sports Videos,
CVSports22(3579-3587)
IEEE DOI
2210
Visualization, Recurrent neural networks, Annotations,
Computational modeling, Ice, Recording
BibRef
Chen, W.[Wei],
Liu, X.F.[Xue-Feng],
Niu, J.W.[Jian-Wei],
SentiStory:
A Multi-Layered Sentiment-Aware Generative Model for Visual Storytelling,
CirSysVideo(32), No. 11, November 2022, pp. 8051-8064.
IEEE DOI
2211
Visualization, Optimized production technology, Streaming media,
Task analysis, Pediatrics, Generators, Sports, Visual storytelling,
coherence
BibRef
Jiang, Y.H.[Yin-Hui],
Luo, S.[Sihui],
Guo, L.J.[Li-Jun],
Zhang, R.[Rong],
MCT-VHD: Multi-modal contrastive transformer for video highlight
detection,
JVCIR(101), 2024, pp. 104162.
Elsevier DOI
2406
Multi-modal, Video highlight detection, Transformer, Contrastive learning
BibRef
Zhang, S.T.[Shu-Tong],
Chen, X.[Xing],
Liu, Z.G.[Zhao-Geng],
Chen, H.C.[He-Chang],
Chang, Y.[Yi],
HiPPO: Enhancing proximal policy optimization with highlight replay,
PR(162), 2025, pp. 111408.
Elsevier DOI
2503
Reinforcement learning, Experience replay, Policy improvement, PPO
BibRef
Zhang, S.Y.[Shi-Yi],
Bai, S.[Sule],
Chen, G.Y.[Guang-Yi],
Chen, L.[Lei],
Lu, J.W.[Ji-Wen],
Wang, J.[Junle],
Tang, Y.S.[Yan-Song],
Narrative Action Evaluation with Prompt-Guided Multimodal Interaction,
CVPR24(18430-18439)
IEEE DOI
2410
Learning systems, Codes, Computational modeling, Natural languages,
Transforms, Benchmark testing
BibRef
Cabado, B.[Bruno],
Cioppa, A.[Anthony],
Giancola, S.[Silvio],
Villa, A.[Andrés],
Guijarro-Berdiñas, B.[Bertha],
Padrón, E.J.[Emilio J.],
Ghanem, B.[Bernard],
van Droogenbroeck, M.[Marc],
Beyond the Premier: Assessing Action Spotting Transfer Capability
Across Diverse Domains,
CVSports24(3386-3398)
IEEE DOI
2410
Analytical models, Visualization, Transfer learning, Focusing,
Pressing, Games, Recording
BibRef
Xarles, A.[Artur],
Escalera, S.[Sergio],
Moeslund, T.B.[Thomas B.],
Clapés, A.[Albert],
T-DEED: Temporal-Discriminability Enhancer Encoder-Decoder for
Precise Event Spotting in Sports Videos,
CVSports24(3410-3419)
IEEE DOI Code:
WWW Link.
2410
Codes, Computer architecture, Videos, Sports
BibRef
Liu, Z.Y.[Zong-Yi],
Feng, Y.[Yarong],
Luo, S.[Shunyan],
Ling, Y.[Yuan],
Dong, S.[Shujing],
Wang, S.Y.[Shu-Yi],
Detecting Content Segments from Online Sports Streaming Events:
Challenges and Solutions,
WACV24(6402-6411)
IEEE DOI
2404
Machine learning algorithms, Artificial neural networks,
Telecommunication traffic, Games, Streaming media,
Smartphones / end user devices
BibRef
Ferreira, B.[Bruno],
Menezes, P.[Paulo],
Batista, J.[Jorge],
Transformers for Workout Video Segmentation,
ICIP22(3470-3474)
IEEE DOI
2211
Image segmentation, Motion segmentation, Pipelines,
Neural networks, Manuals, Multilayer perceptrons, Transformers,
Exercise repetition analysis
BibRef
Wu, D.K.[De-Kun],
Zhao, H.[He],
Bao, X.C.[Xing-Ce],
Wildes, R.P.[Richard P.],
Sports Video Analysis on Large-Scale Data,
ECCV22(XXXVII:19-36).
Springer DOI
2211
BibRef
Badamdorj, T.[Taivanbat],
Rochan, M.[Mrigank],
Wang, Y.[Yang],
Cheng, L.[Li],
Contrastive Learning for Unsupervised Video Highlight Detection,
CVPR22(14022-14032)
IEEE DOI
2210
Training, Annotations, Benchmark testing, Data models,
Video analysis and understanding,
Self- semi- meta- Vision applications and systems
BibRef
Wei, F.[Fanyue],
Wang, B.[Biao],
Ge, T.[Tiezheng],
Jiang, Y.N.[Yu-Ning],
Li, W.[Wen],
Duan, L.X.[Li-Xin],
Learning Pixel-Level Distinctions for Video Highlight Detection,
CVPR22(3063-3072)
IEEE DOI
2210
Visualization, Solid modeling, Computational modeling,
Benchmark testing, Video analysis and understanding
BibRef
Liu, Y.[Ye],
Li, S.Y.[Si-Yuan],
Wu, Y.[Yang],
Chen, C.W.[Chang Wen],
Shan, Y.[Ying],
Qie, X.[Xiaohu],
UMT: Unified Multi-modal Transformers for Joint Video Moment
Retrieval and Highlight Detection,
CVPR22(3032-3041)
IEEE DOI
2210
Video on demand, Natural languages, 3G mobile communication,
Transformers, Generators, Proposals, retrieval
BibRef
Chen, R.[Runnan],
Zhou, P.H.[Peng-Hao],
Wang, W.Z.[Wen-Zhe],
Chen, N.L.[Neng-Lun],
Peng, P.[Pai],
Sun, X.[Xing],
Wang, W.P.[Wen-Ping],
PR-Net: Preference Reasoning for Personalized Video Highlight
Detection,
ICCV21(7960-7969)
IEEE DOI
2203
Annotations, Semantics, Extraterrestrial measurements, Cognition,
History, Video analysis and understanding,
BibRef
Rahimi, A.M.[Amir M.],
Lee, K.[Kevin],
Agarwal, A.[Amit],
Kwon, H.[Hyukseong],
Bhattacharyya, R.[Rajan],
Toward Improving The Visual Characterization of Sport Activities With
Abstracted Scene Graphs,
CVSports21(4495-4502)
IEEE DOI
2109
Training, Visualization, Uncertainty, Semantics, Performance gain,
Search problems, Task analysis
BibRef
Tanaka, T.[Tsunehiko],
Simo-Serra, E.[Edgar],
LoL-V2T: Large-Scale Esports Video Description Dataset,
CVSports21(4552-4561)
IEEE DOI
2109
Training, Vocabulary, Video description,
Focusing, Games
BibRef
Hong, F.T.[Fa-Ting],
Huang, X.T.[Xuan-Teng],
Li, W.H.[Wei-Hong],
Zheng, W.S.[Wei-Shi],
Mini-Net: Multiple Instance Ranking Network for Video Highlight
Detection,
ECCV20(XIII:345-360).
Springer DOI
2011
BibRef
Spijkerman, R.[Ruan],
van der Haar, D.[Dustin],
Video Footage Highlight Detection in Formula 1 Through Vehicle
Recognition with Faster R-cnn Trained on Game Footage,
ICCVG20(176-187).
Springer DOI
2009
BibRef
Patsiouras, E.,
Tefas, A.,
Pitas, I.,
Few-shot Image Recognition for UAV Sports Cinematography,
CLVision20(965-969)
IEEE DOI
2008
Training, Image recognition, Task analysis, Visualization, Standards,
Computational modeling, few-shot learning, image recognition,
unmaned aerial vehicles
BibRef
Lee, H.,
Lee, G.,
Hierarchical Model For Long-Length Video Summarization With
Adversarially Enhanced Audio/Visual Features,
ICIP20(723-727)
IEEE DOI
2011
BibRef
Earlier:
Summarizing Long-Length Videos with GAN-Enhanced Audio/Visual
Features,
MMVAMTC19(3727-3731)
IEEE DOI
2004
Visualization, Feature extraction, Semantics, Benchmark testing,
Task analysis, Generators, video summarization,
long-length videos.
audio signal processing, sport,
video signal processing, supervised method, Multimodal
BibRef
Song, Z.K.[Zi-Kai],
Yu, J.Q.[Jun-Qing],
Cai, H.Y.[Heng-You],
Hu, Y.L.[Yang-Liu],
Chen, Y.P.P.[Yi-Ping Phoebe],
Fine-grain Level Sports Video Search Engine,
MMMod20(I:519-531).
Springer DOI
2003
BibRef
Patrona, F.,
Mademlis, I.,
Tefas, A.,
Pitas, I.,
Computational UAV Cinematography for Intelligent Shooting Based on
Semantic Visual Analysis,
ICIP19(4155-4159)
IEEE DOI
1910
autonomous UAVs, cinematography, sports broadcasting,
human-centered visual analysis, PID controller
BibRef
Wang, H.,
Yu, H.,
Chen, P.,
Hua, R.,
Yan, C.,
Zou, L.,
Unsupervised Video Highlight Extraction via Query-related Deep
Transfer,
ICPR18(2971-2976)
IEEE DOI
1812
Feature extraction, Semantics, Visualization, Search engines,
Adaptation models, Computational modeling, Training
BibRef
Gupta, N.,
Jain, A.,
Agarwal, P.,
Mujumdar, S.,
Mehta, S.,
Pentuplet Loss for Simultaneous Shots and Critical Points Detection
in a Video,
ICPR18(2392-2397)
IEEE DOI
1812
Sports, Task analysis, Measurement, Optimization, Feature extraction, Training
BibRef
Kaichi, T.,
Mori, S.,
Saito, H.,
Takahashi, K.,
Mikami, D.,
Isogawa, M.,
Kimata, H.,
Estimation of Center of Mass for Sports Scene Using Weighted Visual
Hull,
CVSports18(1890-18906)
IEEE DOI
1812
Force, Estimation, Sports,
Solid modeling, Cameras
BibRef
Wang, W.,
Shen, J.,
Guo, F.,
Cheng, M.,
Borji, A.,
Revisiting Video Saliency: A Large-Scale Benchmark and a New Model,
CVPR18(4894-4903)
IEEE DOI
1812
Sports, Task analysis, Benchmark testing, Dynamics, Observers,
Computational modeling, Video sequences
BibRef
Fayyaz, M.,
Gall, J.,
SCT: Set Constrained Temporal Transformer for Set Supervised Action
Segmentation,
CVPR20(498-507)
IEEE DOI
2008
Training, Hidden Markov models, Kernel, Task analysis,
Supervised learning, Convolution, Context modeling
BibRef
Richard, A.,
Kuehne, H.,
Gall, J.,
Action Sets: Weakly Supervised Action Segmentation Without Ordering
Constraints,
CVPR18(5987-5996)
IEEE DOI
1812
Videos, Context modeling, Task analysis, Labeling, Training,
Mathematical model, Feature extraction
BibRef
Farha, Y.A.,
Richard, A.,
Gall, J.,
When will you do what? - Anticipating Temporal Occurrences of
Activities,
CVPR18(5343-5352)
IEEE DOI
1812
Videos, Training, Task analysis, Matrix converters, Visualization,
Sports, Labeling
BibRef
Yu, H.,
Cheng, S.,
Ni, B.,
Wang, M.,
Zhang, J.,
Yang, X.,
Fine-Grained Video Captioning for Sports Narrative,
CVPR18(6006-6015)
IEEE DOI
1812
Sports, Task analysis, Skeleton, Feature extraction, Adaptive optics,
Optical pulses, Measurement
BibRef
Gu, C.,
Sun, C.,
Ross, D.A.,
Vondrick, C.,
Pantofaru, C.,
Li, Y.,
Vijayanarasimhan, S.,
Toderici, G.,
Ricco, S.,
Sukthankar, R.,
Schmid, C.,
Malik, J.,
AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual
Actions,
CVPR18(6047-6056)
IEEE DOI
1812
Motion pictures, Visualization, Vocabulary, Sports, YouTube,
Labeling, Detectors
BibRef
Doughty, H.,
Damen, D.,
Mayol-Cuevas, W.,
Who's Better? Who's Best? Pairwise Deep Ranking for Skill
Determination,
CVPR18(6057-6066)
IEEE DOI
1812
Task analysis, Surgery, Training, Sports, Video sequences,
Distance measurement, Neural networks
BibRef
Hu, H.N.,
Lin, Y.C.,
Liu, M.Y.,
Cheng, H.T.,
Chang, Y.J.,
Sun, M.,
Deep 360 Pilot: Learning a Deep Agent for Piloting through 360 deg;
Sports Videos,
CVPR17(1396-1405)
IEEE DOI
1711
Cameras, Cinematography, Detectors, Navigation, Pipelines, Videos
BibRef
Itazuri, T.,
Fukusato, T.,
Yamaguchi, S.,
Morishima, S.,
Court-Based Volleyball Video Summarization Focusing on Rally Scene,
CVSports17(179-186)
IEEE DOI
1709
Cameras, Computational modeling, Correlation, Event detection,
Feature extraction, Games, Robustness
BibRef
Nibali, A.,
He, Z.,
Morgan, S.,
Greenwood, D.,
Extraction and Classification of Diving Clips from Continuous Video
Footage,
CVSports17(94-104)
IEEE DOI
1709
Agriculture, Feature extraction, Monitoring, Object tracking, Training
BibRef
Xue, Y.,
Song, Y.,
Li, C.,
Chiang, A.T.,
Ning, X.,
Automatic Video Annotation System for Archival Sports Video,
SoftBio17(23-28)
IEEE DOI
1609
image representation, object detection,
object tracking, optical character recognition, sport,
video signal processing, OCR, archival sports broadcast videos,
BibRef
Gade, R.,
Abou-Zleikha, M.,
Christensen, M.G.,
Moeslund, T.B.,
Audio-Visual Classification of Sports Types,
CVSports15(768-773)
IEEE DOI
1602
Cameras
BibRef
Hasegawa, K.,
Saito, H.,
Stroboscopic Image Synthesis of Sports Player from Hand-Held Camera
Sequence,
CVSports15(726-733)
IEEE DOI
1602
Cameras
BibRef
Jeon, J.[Jin],
Kim, M.C.[Mun-Churl],
A spatial class LDA model for classification of sports scene images,
ICIP15(4649-4653)
IEEE DOI
1512
Bag-of-word; Image classification; LDA; Spatial information; Sports scene
BibRef
Ntalianis, K.[Klimis],
Tsapatsoulis, N.[Nicolas],
Unsupervised sports video particles annotation based on social latent
semantic analysis,
ICIP15(222-226)
IEEE DOI
1512
Intelligent Wrapper
BibRef
Xu, X.Z.[Xing-Zhong],
Man, H.[Hong],
Interpreting sports tactic based on latent context-free grammar,
ICIP15(4072-4076)
IEEE DOI
1512
semantic parsing; sports video analysis; stochastic context-free Grammar
BibRef
Stenhaug, M.[Magnus],
Yang, Y.[Yang],
Gurrin, C.[Cathal],
Johansen, D.[Dag],
Muithu: A Touch-Based Annotation Interface for Activity Logging in the
Norwegian Premier League,
MMMod14(II: 365-368).
Springer DOI
1405
BibRef
Aoki, K.[Kyota],
Fukiba, T.[Takuro],
Play Estimation with Motions and Textures in Space-Time Map Description,
DevCen12(I:279-290).
Springer DOI
1304
small parts of large videos.
BibRef
Yan, F.[Fei],
Kittler, J.V.[Josef V.],
Mikolajczyk, K.[Krystian],
Windridge, D.[David],
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Kreidieh, M.[Maya],
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Zhang, T.Z.[Tian-Zhu],
Context-aware learning for automatic sports highlight recognition,
ICPR12(1977-1980).
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1302
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Tjondronegoro, D.[Dian],
Tao, X.H.[Xiao-Hui],
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Multi-modal summarization of key events and top players in sports
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IEEE DOI
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Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Football, Soccer, Tracking, Desctiptions, Analysis .