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Gradient-based 2D-to-3D Conversion for Soccer Videos
2015
Proceedings of the 23rd ACM international conference on Multimedia - MM '15
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We address this problem by showing how to construct a high-quality, domain-specific conversion method for soccer videos. ...
We propose a novel, data-driven method that generates stereoscopic frames by transferring depth information from a database of similar 3D stereoscopic videos. ...
In particular, we demonstrate this by developing a method for generating S3D soccer video. Our method is data-driven, relying on a reference database of S3D videos. ...
doi:10.1145/2733373.2806262
dblp:conf/mm/CalagariEDKMH15
fatcat:gosmwahnnncjjf6b5643adm3em
Fusion of AV features and external information sources for event detection in team sports video
2006
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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This article proposes a framework that utilizes both internal AV features and various types of external information sources for event detection in team sports video. ...
By demonstrating its effectiveness on soccer and American football, we believe that with the availability of appropriate domain knowledge, the framework is applicable to other team sports. ...
X Confusion Matrix of Events Detected by AV Analysis (American Football) Total
(a)
(b)
(c)
(d)
(e)
(f)
Recall
Touchdown/conversion (a)
19
13
3
0
2
0
1
0.68
Field-goal (b)
16
2
10
0 ...
doi:10.1145/1126004.1126007
fatcat:tt4dfutwonbb5biwxpkmfke25u
An IoT-Based Motion Tracking System for Next-Generation Foot-Related Sports Training and Talent Selection
2021
Journal of Healthcare Engineering
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In this study, we propose a new AIoT (AI + IoT) paradigm for next-generation foot-driven sports (soccer, football, takraw, etc.) training and talent selection. ...
This intelligent system can be an emerging technology based on wearable sensors and attain the experience-driven to data-driven transition in the field of sports training and talent selection and can be ...
Equation ( 5 ) is substituted into D 1 : D 1 � p 2 0 + p 2 1 − p 2 2 − p 2 3 2 p 1 p 2 − p 0 p 3 2 p 0 p 2 + p 1 p 3 2 p 0 p 3 + p 1 p 2 p 2 0 − p 2 1 + p 2 2 − p 2 3 2 p 2 p 3 − p 0 p 1 2 ...
doi:10.1155/2021/9958256
pmid:34257856
pmcid:PMC8253628
fatcat:nsy6rfxmgvagrcvq52cu4m7kwa
Upper Body Pose Estimation for Team Sports Videos Using a Poselet-Regressor of Spine Pose and Body Orientation Classifiers Conditioned by the Spine Angle Prior
2015
IPSJ Transactions on Computer Vision and Applications
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We tested the performance of our method in both American football and soccer videos. ...
We propose a per-frame upper body pose estimation method for sports players captured in low-resolution team sports videos. ...
Acknowledgments Authors would like to thank Japan American Football Association for providing the American football scene videos and also thank Keio University soccer team for providing the women soccer ...
doi:10.2197/ipsjtcva.7.121
fatcat:fhl5ogh2wvbbpn3dd7afig747a
Event-driven Hybrid Classifier Systems and Online Learning for Soccer Game Strategies
[chapter]
2007
Robotic Soccer
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Soccer Video Game and Associated Problems
Overview of Soccer Video Game The type of soccer game that we will deal with here is a software-driven video game with soccer as its theme in which two teams ...
R w = N w / (N t -N d ), (2) where N t , N d , and N w are total number of matches, number of draws, and number of wins respectively. ...
Event-driven Hybrid Classifier Systems and Online Learning for Soccer Game Strategies, Robotic Soccer, Pedro Lima (Ed.), ISBN: 978-3-902613-21-9, InTech, Available from: http://www.intechopen.com/books ...
doi:10.5772/5140
fatcat:3uthzow6ivehdlljbfqnbegfwi
A Survey of Content-Aware Video Analysis for Sports
2018
IEEE transactions on circuits and systems for video technology (Print)
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2017 pre-print arXiv:1703.01170v1 fatcat:spuyriaxifh6nixvnyxfcxq3f4
In this regard, a content-aware approach is required to determine user demands. Finally, the paper summarizes the future trends and challenges for sports video analysis. ...
We believe that our findings can advance the field of research on content-aware video analysis for broadcast sports. ...
Conversely, point-driven sports consist of regular events and constructs within a domain-specific scenario. ...
doi:10.1109/tcsvt.2017.2655624
fatcat:rwqzu46sgfb7tpkcav4ysmh6ae
Data-Driven Continuum Dynamics via Transport-Teleport Duality
[article]
2020
arXiv
pre-print
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complexity and training data for machine learning of transport phenomena. ...
Physicists and engineers are framing the data-driven paradigm as an alternative approach to physical sciences. In this paradigm change, the deep learning approach is playing a pivotal role. ...
DATA-DRIVEN CONTINUUM DYNAMICS A. Learning physics from observational data Consider the soccer ball example shown in Fig. 1 . ...
arXiv:2005.13358v2
fatcat:o567uwotrvcjdezkl7ywlysqle
Reward allotment in an event-driven hybrid learning classifier system for online soccer games
2006
Proceedings of the 8th annual conference on Genetic and evolutionary computation - GECCO '06
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This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. ...
Our aim is to respond to the changing environment of video gaming that has resulted from the growth of the Internet, and to provide bug-free programs in a short time. ...
CONVENTIONAL SOCCER VIDEO GAME AND ASSOCIATED PROBLEMS 2.1 Overview of Soccer Video Game The type of soccer game that we will deal with here is a softwaredriven video game with soccer as its theme in which ...
doi:10.1145/1143997.1144282
dblp:conf/gecco/SatoAN06
fatcat:jpf643lbprdong5aielx5zfy5e
Video phylogeny tree reconstruction using aging measures
2017
2017 25th European Signal Processing Conference (EUSIPCO)
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The use of processing age allows a forensic analyst to blindly select a smaller amount of significant video pairs to be compared for VPT reconstruction. ...
The need of authenticating these contents and tracing back their history has led to the investigation of forensic algorithms for the reconstruction of the video phylogeny tree (VPT), i.e., an acyclic directed ...
Conversely, D geom and D luma are composed by chains of videos to which only one operation (geometrical or luminance-based) and one coding step were applied. ...
doi:10.23919/eusipco.2017.8081596
dblp:conf/eusipco/MilaniBT17
fatcat:xbnlgfybszbo7jg423cojdw3tu
Using ontologies with UML class-based modeling: The TwoUse approach
2010
Data & Knowledge Engineering
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We present a framework involving different concrete syntaxes for developing integrated models and use an OCL-like approach for writing query operations. ...
UML class-based models and OWL ontologies constitute modeling approaches with different strength and weaknesses that make them appropriate for specifying different aspects of software systems. ...
For example, the classes jubilation and highlight are subclasses of kat thing(1). A soccer video is a subclass of video data (2) . ...
doi:10.1016/j.datak.2010.07.009
fatcat:wtkdb7iy2zdxvcrvgyfu33exca
Video Phylogeny Tree Reconstruction Using Aging Measures
2018
Zenodo
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Then, for every MV of the frame, motion vector difference d M V is computed as follows: d M V = [|d x |, |d y |] = v t − v A t + v B t 2 t=x,y (4) where v A , v B are the displacement vectors related to ...
For every pair of nodes/videos S i , S j in the dissimilarity graph, it is possible to check the hypotheses H 1 = {S i is younger than video S j } and H 2 = ¬H 1 for every component a i,k . ...
doi:10.5281/zenodo.1159746
fatcat:buxkp7yr6rgnlcmrxqwxzhxezm
Encoder-driven rate control and mode decision for distributed video coding
2013
EURASIP Journal on Advances in Signal Processing
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To provide low-complexity encoding for video in unidirectional or offline compression scenarios, this paper proposes an efficient feedback-channel-free distributed video coding architecture featuring a ...
novel encoder-driven rate control scheme in tandem with a designated mode selection process. ...
: low cost monitoring for care and retail'). ...
doi:10.1186/1687-6180-2013-156
fatcat:eilbrquhcfcz7hab4tmqe7fsn4
A new motion histogram to index motion content in video segments
2005
Pattern Recognition Letters
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A new motion feature for video indexing is proposed in this paper. The motion content of the video at pixel level, is represented as a Pixel Change Ratio Map (PCRM). ...
The PCRM enables us to capture the intensity of motion in a video sequence. It also indicates the spatial location and size of the moving object. ...
Therefore, we utilize the K-means algorithm (Duda and Hart, 1973) to perform data-driven initialization instead of a random one. ...
doi:10.1016/j.patrec.2004.11.011
fatcat:bzy4i67735cubefkrwxsvjeeiq
Validity and reliability of speed tests used in soccer: A systematic review
2019
PLoS ONE
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Speed is an important prerequisite in soccer. Therefore, a large number of tests have been developed aiming to investigate several speed skills relevant to soccer. ...
This systematic review aimed to examine the validity and reliability of speed tests used in adult soccer players. ...
Claudio Nigg for his support in preparing the manuscript.
Visualization: Stefan Altmann. Writing -original draft: Stefan Altmann. ...
doi:10.1371/journal.pone.0220982
pmid:31412057
pmcid:PMC6693781
fatcat:2aujwtlx2zgbjludxxu6sok5qm
Wyner-Ziv video coding for wireless lightweight multimedia applications
2012
EURASIP Journal on Wireless Communications and Networking
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importance in the context of endoscopic video content), and the high compression performance make the proposed distributed video codec a strong candidate for future lightweight (medical) imaging applications ...
The solution can be found in fundamental information theoretic results, which gave rise to the distributed video coding (DVC) paradigm, under which lightweight video encoding schemes can be engineered. ...
The authors would like to thank Prof. Dr. Daniel Urbain, head of the Gastroenterology clinic of the Universitair Ziekenhuis Brussel for providing numerous endoscopic video sequences. ...
doi:10.1186/1687-1499-2012-106
fatcat:kfpsmeoid5hhjgix35asc7qvze
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