16.7.4.8.10 Baseball, Cricket, Tracking, Desctiptions, Analysis

Chapter Contents (Back)
Activity Recognition. Baseball. Cricket.

Gong, Y.H.[Yi-Hong], Han, M.[Mei], Hua, W.[Wei], Xu, W.[Wei],
Maximum entropy model-based baseball highlight detection and classification,
CVIU(96), No. 2, November 2004, pp. 181-199.
Elsevier DOI 0410
BibRef

Chang, P.[Peng], Han, M.[Mei], Gong, Y.H.[Yi-Hong],
Extract highlights from baseball came video with hidden Markov models,
ICIP02(I: 609-612).
IEEE DOI 0210
BibRef

Lien, C.C.[Cheng-Chang], Chiang, C.L.[Chiu-Lung], Lee, C.H.[Chang-Hsing],
Scene-based event detection for baseball videos,
JVCIR(18), No. 1, February 2007, pp. 1-14.
Elsevier DOI 0711
Video shot; Semantic scene; Baseball event; Hidden Markov model BibRef

Bach, N.H.[Nguyen Huu], Shinoda, K.[Koichi], Furui, S.[Sadaoki],
Robust Scene Extraction Using Multi-Stream HMMs for Baseball Broadcast,
IEICE(E89-D), No. 9, September 2006, pp. 2553-2561.
DOI Link 0609
BibRef
Earlier:
Robust Highlight Extraction Using Multi-Stream Hidden Markov Models for Baseball Video,
ICIP05(III: 173-176).
IEEE DOI 0512
BibRef

Hung, M.H., Hsieh, C.H.,
Event Detection of Broadcast Baseball Videos,
CirSysVideo(18), No. 12, December 2008, pp. 1713-1726.
IEEE DOI 0812
BibRef

Shih, H.C.[Huang-Chia], Hwang, J.N.[Jenq-Neng], Huang, C.L.[Chung-Lin],
Content-Based Attention Ranking Using Visual and Contextual Attention Model for Baseball Videos,
MultMed(11), No. 2, February 2009, pp. 244-255.
IEEE DOI 0905
BibRef

Babaguchi, N., Ohara, K., Ogura, T.,
Learning Personal Preference From Viewer's Operations for Browsing and Its Application to Baseball Video Retrieval and Summarization,
MultMed(9), No. 5, August 2007, pp. 1016-1025.
IEEE DOI 0905
BibRef

Su, P.C.[Po-Chyi], Lan, C.H.[Chi-Heng], Wu, C.S.[Chin-Song], Zeng, Z.X.[Zi-Xin], Chen, W.Y.[Wei-Yu],
Transition effect detection for extracting highlights in baseball videos,
JIVP(2013), No. 1, 2013, pp. 27.
DOI Link 1305
BibRef

Jayanth, S.B.[Sandesh Bananki],
Automated Classification of Cricket Pitch Frames in Cricket Video,
ELCVIA(13), No. 1, 2014, pp. Gowri Srinivasa.
DOI Link 1407
BibRef

Healey, G.,
The New Moneyball: How Ballpark Sensors Are Changing Baseball,
PIEEE(105), No. 11, November 2017, pp. 1999-2002.
IEEE DOI 1710
[Point of View] Cameras, Doppler radar, Entertainment, Measurement, Radar tracking, Sensors, Sports, equipment BibRef

Javed, A.[Ali], Irtaza, A.[Aun], Malik, H.[Hafiz], Mahmood, M.T.[Muhammad Tariq], Adnan, S.[Syed],
Multimodal framework based on audio-visual features for summarisation of cricket videos,
IET-IPR(13), No. 4, March 2019, pp. 615-622.
DOI Link 1903
BibRef

Gupta, A.[Arpan], Muthiah, S.B.[Sakthi Balan],
Viewpoint constrained and unconstrained Cricket stroke localization from untrimmed videos,
IVC(100), 2020, pp. 103944.
Elsevier DOI 2008
Cricket , Action localization, TIoU, C3D, RNN, GRU BibRef


Hirasawa, K., Maeda, K., Ogawa, T., Haseyama, M.,
Important Scene Detection Of Baseball Videos Via Time-Lag Aware Deep Multiset Canonical Correlation Maximization,
ICIP20(1236-1240)
IEEE DOI 2011
Videos, Feature extraction, Visualization, Correlation, Time series analysis, Twitter, Time-lag, unsupervised important scene detection BibRef

Moodley, T.[Tevin], van der Haar, D.[Dustin],
Scene Recognition Using Alexnet to Recognize Significant Events Within Cricket Game Footage,
ICCVG20(98-109).
Springer DOI 2009
BibRef

Shim, M.H.[Min-Ho], Kim, Y.H.[Young Hwi], Kim, K.[Kyungmin], Kim, S.J.[Seon Joo],
Teaching Machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding Tasks,
ECCV18(XV: 420-437).
Springer DOI 1810
BibRef

Piergiovanni, A.J., Ryoo, M.S.,
Fine-Grained Activity Recognition in Baseball Videos,
CVSports18(1821-18218)
IEEE DOI 1812
Videos, Activity recognition, Sports, Task analysis, Cameras, Games BibRef

Shukla, P., Sadana, H., Bansal, A., Verma, D., Elmadjian, C., Raman, B., Turk, M.,
Automatic Cricket Highlight Generation Using Event-Driven and Excitement-Based Features,
CVSports18(1881-18818)
IEEE DOI 1812
Sports, Games, Hidden Markov models, Support vector machines, Optical character recognition software, Cameras, Training BibRef

Agarwalla, A.[Abhinav], Mantri, M.[Madhav], Singh, V.[Vishal],
Hierarchical Ranking of Cricket Teams Incorporating Player Composition,
PReMI17(633-638).
Springer DOI 1711
BibRef

Chiu, C.Y.[Chih-Yi], Lin, P.C.[Po-Chih], Chang, W.M.[Wei-Ming], Wang, H.M.[Hsin-Min], Yang, S.N.[Shi-Nine],
Detecting pitching frames in baseball game video using Markov random walk,
ICIP10(1493-1496).
IEEE DOI 1009
BibRef

Kolekar, M.H., Palaniappan, K., Sengupta, S.,
Semantic Event Detection and Classification in Cricket Video Sequence,
ICCVGIP08(382-389).
IEEE DOI 0812
BibRef

Ando, R.[Ryoichi], Shinoda, K.[Koichi], Furui, S.[Sadaoki], Mochizuki, T.[Takahiro],
A robust scene recognition system for baseball broadcast using data-driven approach,
CIVR07(186-193).
DOI Link 0707
BibRef

Sankar, K.P.[K. Pramod], Pandey, S.[Saurabh], Jawahar, C.V.,
Text Driven Temporal Segmentation of Cricket Videos,
ICCVGIP06(433-444).
Springer DOI 0612
BibRef

Mochizuki, T., Tadenuma, M., Yagi, N.,
Baseball Video Indexing Using Patternization of Scenes and Hidden Markov Model,
ICIP05(III: 1212-1215).
IEEE DOI 0512
BibRef

Kawashima, T., Tateyama, K., Iijima, T., Aoki, Y.,
Indexing of baseball telecast for content-based video retrieval,
ICIP98(I: 871-874).
IEEE DOI 9810
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Tennis Tracking, Desctiptions, Line Judge .


Last update:Nov 30, 2021 at 22:19:38