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A Generic Framework for Semantic Sports Video Analysis Using Dynamic Bayesian Networks
11th International Multimedia Modelling Conference
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In this paper, we propose a multimodal multilayer statistical inference framework for semantic sports video analysis using Dynamic Bayesian Networks (DBNs). ...
Automatic detection of semantic events in sport videos is a challenging task. ...
In this paper, we present a generic framework for sports video analysis based on Dynamic Bayesian Networks (DBNs). ...
doi:10.1109/mmmc.2005.9
dblp:conf/mmm/WangMZL05
fatcat:ujfleim4pzdy5cjii4g5hnhvey
Research on Analysis of Sports Video Multi-Pattern Fusion
2015
International Journal of Database Theory and Application
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In order to effectively integrate multimodal information and multilayer constraints, we present a unified probabilistic framework for sports video analysis. ...
Experimental results indicate our method with multimodal fusion processes semantic events in sports video more effectively. ...
Acknowledgement This work was supported by The Fundamental Research Funds for the Central Universities. No. HEUCF151601. ...
doi:10.14257/ijdta.2015.8.6.28
fatcat:ygjxpa4s5zbefei35hcvjextd4
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
Finally, the paper summarizes the future trends and challenges for sports video analysis. ...
Previous surveys have focused on the methodologies of sports video analysis from the spatiotemporal viewpoint instead of a content-based viewpoint, and few of these studies have considered semantics. ...
In their method, to achieve a generic framework for analyzing sports videos, an unsupervised probabilistic latent semantic analysis-based approach was used to characterize each frame of a video sequence ...
doi:10.1109/tcsvt.2017.2655624
fatcat:rwqzu46sgfb7tpkcav4ysmh6ae
MSN: Statistical Understanding of Broadcasted Baseball Video Using Multi-Level Semantic Network
2005
IEEE transactions on broadcasting
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Index Terms-Baseball video, Bayesian belief network, multilevel semantic network, spatio-temporal analysis, sport video, statistical modeling. ...
This paper proposes a semantic highlight detection scheme using a Multi-level Semantic Network (MSN) for baseball video interpretation. ...
[21] also proposed a semantic analysis framework based on HMMs which is applied for sports game event detection. Amhet et al. ...
doi:10.1109/tbc.2005.854169
fatcat:nk4w5zmf4raq3c5rxokkq63tvq
Structure learning in a Bayesian network-based video indexing framework
2008
2008 IEEE International Conference on Multimedia and Expo
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We model video data using dynamic Bayesian networks (DBNs) where the static part of the network accounts for the correlations between low-level features extracted from the raw data and between these features ...
This paper investigates the trade-off between the increase of generality and the quality of the results in video analysis. ...
Many research works [4, 5, 6] have shown that DBNs are a powerful tool for semantic video analysis. ...
doi:10.1109/icme.2008.4607525
dblp:conf/icmcs/BaghdadiGDG08
fatcat:wz7cfhc4evdofp3qv3iotecw7i
Semantic analysis of soccer video using dynamic Bayesian network
2006
IEEE transactions on multimedia
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This paper introduces a semantic analysis system based on Bayesian network (BN) and dynamic Bayesian network (DBN). It is validated in the particular domain of soccer game videos. ...
Index Terms-Dynamic Bayesian network (DBN), temporal intervening network (TIN), video semantic analysis. ...
Ekin [4] proposes a fully automatic and computationally efficient framework for sports video analysis and summarization by using low-level video processing algorithms. ...
doi:10.1109/tmm.2006.876289
fatcat:ghg7w6swyrgnrltqgdwe2lsgpa
A Hierarchical Semantics-Matching Approach for Sports Video Annotation
[chapter]
2009
Lecture Notes in Computer Science
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A commonly adopted basis in previous work is the separate alignment of timestamps between sports video and game text, which isn't a robust method for generic cross-media analysis. ...
In this paper, we propose a hierarchical semantics-matching approach to annotate sports video. ...
It is worth noting that the video tag is intrinsically a discrete random variable with a probability distribution generated by the Bayesian network. ...
doi:10.1007/978-3-642-10467-1_60
fatcat:njf3sbgn2zdyfk2xwsksdks5ty
Video Semantic Concept Discovery using Multimodal-Based Association Classification
2007
Multimedia and Expo, 2007 IEEE International Conference on
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The proposed framework uses the apriori algorithm and association rule mining to find frequent itemsets in the feature data set and generate classification rules to classify video shots to different concepts ...
In this paper, we propose a novel framework that works towards reducing this semantic gap. ...
Lin et al. used SVM and hybrid Bayesian networks to construct a semantic model for astrocytoma malignant degrees in MRI images [2] . ...
doi:10.1109/icme.2007.4284786
dblp:conf/icmcs/LinRSC07
fatcat:wdza7hrbxzccjkq7xrtldg4hha
Personalized Sports Video Customization Using Content and Context Analysis
2010
International Journal of Digital Multimedia Broadcasting
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We present an integrated framework on personalized sports video customization, which addresses three research issues: semantic video annotation, personalized video retrieval and summarization, and system ...
As a measure to make the system adaptive to the particular user, a social network based system adaptation algorithm is proposed to learn latent user preference implicitly. ...
For each sports type, five matches are used to train the Bayesian network for salient event detection and the left one is used to test the annotation algorithm. ...
doi:10.1155/2010/836357
fatcat:boxa3frbefdrnno3toza7zskfm
A new Method for Shot Identification in Basketball Video
2011
Journal of Software
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This paper presents semantic-based shot event identification. Based on Dynamic Bayesian Network (DBN), the gap between low-lever features and high-lever semantic will be resolve. ...
Experimental results have shown our proposed method is effective for basketball event detection. ...
Semantic analysis of sports video generally involves use of cinematic and object-based features. ...
doi:10.4304/jsw.6.8.1468-1475
fatcat:xffu4ptdyfbthg2333w6bryxki
Event detection and recognition for semantic annotation of video
2010
Multimedia tools and applications
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semantic video indexing to intelligent video surveillance systems and advanced human-computer interaction interfaces. ...
Research on methods for detection and recognition of events and actions in videos is receiving an increasing attention from the scientific community, because of its relevance for many applications, from ...
Bayesian networks that model sequences of variables (such as for example speech signals or protein sequences) are called Dynamic Bayesian Networks (DBNs). ...
doi:10.1007/s11042-010-0643-7
fatcat:7x6x4r3n6rhnnofpqhbelgzc6y
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 ...
This paper contains a survey on aspects of visual event computing. ...
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
A Self-Referential Perceptual Inference Framework for Video Interpretation
[chapter]
2003
Lecture Notes in Computer Science
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This paper presents an extensible architectural model for general content-based analysis and indexing of video data which can be customised for a given problem domain. ...
This representation allows one to pose the problem of video analysis in terms of queries expressed in a visual language incorporating prior hierarchical knowledge of the syntactic and semantic structure ...
The principal author received financial support from the Royal Commission for the Exhibition of 1851. ...
doi:10.1007/3-540-36592-3_6
fatcat:4bgk6fhapfdwfcmjaj2s66c7uu
Video Summarization: Survey on Event Detection and Summarization in Soccer Videos
2015
International Journal of Advanced Computer Science and Applications
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We have discussed some features used for generating video summaries. As soccer is the world's most famous game played and watched, it is taken as a case study. ...
In this paper, video summarization approaches are discussed, that can generate static or dynamic summaries. We present different techniques for each mode in literature. ...
Some alternative pattern recognition techniques include the use of a dynamic Bayesian network (DBN) for capturing the temporal pattern of extracted features during soccer events. ...
doi:10.14569/ijacsa.2015.061133
fatcat:pvjtxbtwwfevzjt4d4s2q4rdly
Flexible and improved method for automatic Semantic Content extraction in videos
2015
2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)
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The content of video data at a semantic level is out of the scope of the standards because low-level features and raw data of a video hardly provide semantics which is much more appropriate for users. ...
Today , video based applications are used so widely. So it is necessary to extract video content. Now user wants deeper understanding of video content at semantic level. ...
events in the domain.;
Framework for Video Semantic Content Analysis based on Ontology -The OWL language is used for knowledge representation for video analysis ontology and domain ontology. ...
doi:10.1109/iciiecs.2015.7193113
fatcat:6soglp3xxzcz7k5pu4lan3sg7y
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