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Exciting event detection in broadcast soccer video with mid-level description and incremental learning
2005
Proceedings of the 13th annual ACM international conference on Multimedia - MULTIMEDIA '05
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In this paper, we propose a method for exciting event detection in broadcast soccer video with mid-level description and SVM-based incremental learning. ...
In the view classification and event detection procedures, SVM-based incremental learning method is explored to improve the extensibility of view classification and event detection. ...
Video Summarization and Enrichment System" at "http://www.jdl.ac.cn/en/project/mrhomepage/En_index.htm ". ...
doi:10.1145/1101149.1101250
dblp:conf/mm/YeHGJ05
fatcat:x6vd7jeq5zh4vdj2owzm4obyou
Singlets: Multi-resolution Motion Singularities for Soccer Video Abstraction
2017
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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We use these singlets in order to detect zooms, slow-motions and salient moments in soccer games and finally to produce an automatic summarization of a game. ...
We produce a database for soccer video summarization composed of 4 soccer matches from HDTV games for the FIFA world cup 2014 annotated with goals, fouls, corners and salient moments to make a summary. ...
[30] chose an incremental learning SVM on a mid-level description containing the features of successive moments like view labels, line mark positions and shot descriptors to select highlights. ...
doi:10.1109/cvprw.2017.15
dblp:conf/cvpr/BlancLP17
fatcat:g7yevnrbzbaxzoxla67ncinrqa
Motion Entropy Feature and Its Applications to Event-Based Segmentation of Sports Video
2008
EURASIP Journal on Advances in Signal Processing
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An entropy-based criterion is proposed to characterize the pattern and intensity of object motion in a video sequence as a function of time. ...
The proposed method is tested on six hours of sports videos including basketball, soccer, and tennis. Excellent experimental results are observed. ...
ACKNOWLEDGMENTS The authors wish to thank Professor Yu-Hen Hu for his valuable suggestion and revision. ...
doi:10.1155/2008/460913
fatcat:wh5sac3ngfhrla6bhssrmr62q4
A framework for flexible summarization of racquet sports video using multiple modalities
2009
Computer Vision and Image Understanding
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Finally, by using the affective features extracted from the detected events, a linear highlight model is adopted to rank the detected events in terms of their exciting degrees. ...
While most existing sports video research focuses on detecting event from soccer and baseball etc., little work has been contributed to flexible content summarization on racquet sports video, e.g. tennis ...
[4] used announcers' speech pitch and baseball batting sound to detect exciting segments in baseball games. Xu et al. [5] built audio keywords for event detection in soccer video. Xiong et al. ...
doi:10.1016/j.cviu.2008.08.002
fatcat:lh7brwejkvhuliauqy6mxpjpjy
Temporal Multiple Correspondence Analysis for Big Data Mining in Soccer Videos
2015
2015 IEEE International Conference on Multimedia Big Data
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A multimedia big data mining framework consisting of two phases for interesting event detection in soccer videos has been proposed in this paper. ...
Our proposed semantic re-ranking framework is evaluated on a large collection of soccer videos for interesting event detection. ...
The authors would like to thank Haiman Tian for her assistance in conducting the experiment and preparing the previous work. ...
doi:10.1109/bigmm.2015.88
dblp:conf/bigmm/YangCS15
fatcat:iebpwpykova45mvxyzeyhjaygu
Multimodal Video Indexing: A Review of the State-of-the-art
2005
Multimedia tools and applications
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Efficient and effective handling of video documents depends on the availability of indexes. Manual indexing is unfeasible for large video collections. In this paper we survey several methods aiming ...
Acknowledgements The authors would like to thank Jeroen Vendrig and Ioannis Patras from the University of Amsterdam for their valuable comments and suggestions. ...
This research is sponsored by the ICES/KIS Multimedia Information Analysis project and TNO Institute of Applied Physics (TPD). ...
doi:10.1023/b:mtap.0000046380.27575.a5
fatcat:cskgpbfx5bgapl5uv72cs352ae
A Generic Approach for Systematic Analysis of Sports Videos
2012
ACM Transactions on Intelligent Systems and Technology
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The system aims at the event detection scenario of an input video with an orderly sequential process. ...
Various innovative and original works have been applied and proposed in the field of sports video analysis. ...
A SVM-based incremental learning scheme using updated data is proposed in detecting soccer events, along with a pre-defined temporal structure. ...
doi:10.1145/2168752.2168760
fatcat:oxqszt2dxzcdfa44tlapet3kje
A comprehensive study of visual event computing
2010
Multimedia tools and applications
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We start by presenting events and their classifications, and continue with discussing the problem of capturing events in terms of photographs, videos, etc, as well as the methodologies for event storing ...
Later, we review an extensive set of papers taken from well-known conferences and journals in multiple disciplines. We analyze events, and summarize the procedure of visual event actions. ...
Paul Miller, and Dr. Xiwu Gu etc. This work was partially supported by QUB research project: Unusual event detection in audio-visual surveillance for public transport (NO.D6223EEC). ...
doi:10.1007/s11042-010-0560-9
fatcat:ak6u3eefefgjhmbpr7asru3n7u
Video Skimming
2019
ACM Computing Surveys
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2019 pre-print arXiv:1909.12948v1 fatcat:hky7zywh2fbthi56zl4woox4dq
We present a taxonomy of video skimming approaches, and discuss their evolution highlighting key advances. ...
Being dynamic in nature, video skimming, through temporal connectivity, allows better understanding of the video from its summary. ...
The authors would also like to thank the associate editors and editor in chief for identifying the potential in this survey and taking it through the review process. ...
doi:10.1145/3347712
fatcat:h4zbzmdfx5c2rm3dm4cmmzrsoa
Semantic Concept Mining Based on Hierarchical Event Detection for Soccer Video Indexing
2009
Journal of Multimedia
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In this paper, we present a novel automated indexing and semantic labeling for broadcast soccer video sequences. ...
First, we propose a novel hierarchical framework for soccer (football) video event sequence detection and classification. ...
"Exciting event detection in broadcast soccer video with mid-level ﻣﻘﺎﯾﺴﻪ در آﺳـﺘﺎﻧﻪ ﺑـﺮ ﻣﺒﺘﻨﯽ و ﻓﺎزی اﺳﺘﻨﺘﺎج ﺳﯿﺴﺘﻢ ﮐﺎراﯾﯽ ﻣﯿﺎن ﮐﻪ ای Processing, 2009. ...
doi:10.4304/jmm.4.5.298-312
pmid:35646164
pmcid:PMC9139424
fatcat:5ktnmbaan5gjfllfa2opwzu53q
An integrated approach to understanding the demands impacting soccer officials' decision-making: implications for training and performance
2024
Zenodo
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Building upon this work in Chapter 4, the RTAQ was utilised to documentthe types and volumes of training engaged in by soccer officials of varying roles and levels of professional attainment. ...
In demonstrating good levels of content, face, and criterion validity, the RTAQ was deemed an effective and practical method of monitoring the training practices of soccer officials. ...
With respect to the specific decision-making and technical training engaged in by respondents, these appeared to be comprised almost exclusively of observational learning activities such as video clip ...
doi:10.5281/zenodo.10817736
fatcat:pgdwijnmbvhaxa6hsp7cgp7rj4
Towards Universal and Statistical-Driven Heuristics for Automatic Classification of Sports Video Events
2006 12th International Multi-Media Modelling Conference
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Researchers worldwide have been acti ely seeking for thlc most robust and power-ful solutions to detect and classify keye events (or highlights) in vanious sports domains. ...
The models can be desi ened with a modest amount of domain-kniowledge, -iking themn less subjective and more robust for different sports. ...
e lrOI describing spoIrt events, in particulai-, soccer, A 11. basketball and any sports with similar characteristics. ...
doi:10.1109/mmmc.2006.1651300
dblp:conf/mmm/TjondronegoroC06
fatcat:3wy4gdeokzd6niuowg6fae5l6y
Meta-heuristics meet sports: a systematic review from the viewpoint of nature inspired algorithms
2022
International Journal of Computer Science in Sport
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soccer, (c) the limitations and challenges of using meta-heuristics in sports. ...
Some of our findings include (a) genetic algorithm and particle swarm optimization have been extensively used in the literature, (b) meta-heuristics have been widely applied in the sports of cricket and ...
Using the algorithm, the study has focused on detecting/tracking multiple players and their trajectories in soccer broadcast videos. ...
doi:10.2478/ijcss-2022-0003
fatcat:d7vea5cayfcqfnjzlskd7e5vvy
A Vision Chip for Color Segmentation and Pattern Matching
2003
EURASIP Journal on Advances in Signal Processing
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Thirty-two learned color templates are stored and compared to each image. ...
We demonstrate color-based image segmentation and object recognition with this chip. Running at 30 fps, it uses 1 mW. ...
of events involving multiple objects (e.g., offside in soccer) Papers must present a thorough evaluation of the performance of the system or method(s) proposed in one or more application areas such as ...
doi:10.1155/s1110865703302021
fatcat:uxnqapg7aff2rmswxhqdnoveta
Multimodal framework based on audio‐visual features for summarisation of cricket videos
[article]
2021
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Therefore, in this study an automatic method for key-events detection and summarisation based on audio-visual features is presented for cricket videos. ...
A decision tree-based classifier is trained to detect key-events in the input cricket videos that are then used for video summarisation. ...
[25] proposed a framework for key-events annotation, event boundaries detection, soccer field classification, and whistle detection in soccer videos. Godi et al. ...
doi:10.7302/94
fatcat:rvrwntk7nne4fkuesue7se6wui
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