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Camera View-Based American Football Video Analysis

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471200611openalex-snapshot
Elements of Information Theory
inferredcites →https://doi.org/10.1007/978-0-585-34549-9_2openalex-snapshot
Content-Based Representation and Retrieval of Visual Media: A State-of-the-Art Review
inferredcites →https://doi.org/10.1007/bf00393937openalex-snapshot
Content-based representation and retrieval of visual media: A state-of-the-art review
inferredcites →https://doi.org/10.1007/s10044-005-0244-7openalex-snapshot
Audio-visual sports highlights extraction using Coupled Hidden Markov Models
inferredcites →https://doi.org/10.1049/ic.2005.0708openalex-snapshot
An overview of multimodal video representation for semantic analysis
inferredcites →https://doi.org/10.1109/93.998041openalex-snapshot
The holy grail of content-based media analysis
inferredcites →https://doi.org/10.1109/icip.2002.1038099openalex-snapshot
Model-based clustering and analysis of video scenes
inferredcites →https://doi.org/10.1109/icip.2004.1421379openalex-snapshot
Semantic units based events detection in soccer videos
inferredcites →https://doi.org/10.1109/icme.2003.1221583openalex-snapshot
Using camera motion to identify types of American football plays
inferredcites →https://doi.org/10.1109/iwvdvt.2005.1504615openalex-snapshot
A novel moving object segmentation algorithm based on spatiotemporal Markov random field
inferredcites →https://doi.org/10.1109/mmmc.2005.37openalex-snapshot
Effective Feature Extraction for Play Detection in American Football Video
inferredcites →https://doi.org/10.1109/tip.2003.812758openalex-snapshot
Automatic soccer video analysis and summarization
inferredcites →https://doi.org/10.1109/tpami.2003.1201820openalex-snapshot
Statistical modeling and conceptualization of visual patterns
inferredcites →https://doi.org/10.1145/957013.957018openalex-snapshot
Trajectory-based ball detection and tracking with applications to semantic analysis of broadcast soccer video

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-319-09396-3_13openalex-snapshot
Recognizing Team Formation in American Football
inferred← citeshttps://doi.org/10.1007/s11704-013-1276-6openalex-snapshot
A comprehensive review of significant researches on content based indexing and retrieval of visual information
inferred← citeshttps://doi.org/10.1109/cvpr.2007.383494openalex-snapshot
Segmental Hidden Markov Models for View-based Sport Video Analysis
inferred← citeshttps://doi.org/10.1109/icme.2007.4285004openalex-snapshot
Two-Layer Generative Models for Sport Video Mining
inferred← citeshttps://doi.org/10.1109/tmm.2009.2030828openalex-snapshot
Sports Video Mining via Multichannel Segmental Hidden Markov Models
inferred← citeshttps://doi.org/10.1109/wacv.2014.6836040openalex-snapshot
Play type recognition in real-world football video
inferred← citeshttps://doi.org/10.1145/1459359.1459463openalex-snapshot
Multi-channel segmental hidden markov models for sports video mining
inferred← citeshttps://doi.org/10.1609/aaai.v27i2.18999openalex-snapshot
Detecting the Moment of Snap in Real-World Football Videos
inferred← citeshttps://doi.org/10.2139/ssrn.7385818openalex-snapshot
Predicting Passing-play Outcomes in American Football: A Comparative Study of Traditional Machine Learning Algorithms and Fine-tuned Large Language Models
inferred← citeshttps://doi.org/10.4018/978-1-4666-1806-0.ch016openalex-snapshot
Probabilistic Graphical Models for Sports Video Mining
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