Temporal pattern recognition in video clips detection

A. Zheng; J. Ma; B. Luo; Miltiadis Petridis; S. Zhai; J. Tang

doi:10.1109/ICIS.2009.144

Temporal pattern recognition in video clips detection

A. Zheng, J. Ma, B. Luo, Miltiadis Petridis, S. Zhai, J. Tang

University of Brighton

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

Abstract

Temporal representation and reasoning plays an important role in data mining and knowledge discovery, particularly, in mining and recognizing patterns with rich temporal information. Based on a formal characterization of time-series and state-sequences, this paper presents the computational technique and algorithm for matching state-based temporal patterns. As a case study of real-life applications, zone-defense pattern recognition in basketball games is specially examined as an illustrating example. Experimental results demonstrate that it provides a formal and comprehensive temporal ontology for research and applications in video events detection.

Original language	English
Title of host publication	8th IEEE/ACIS International Conference on Computer and Information Science
Publisher	IEEE
Pages	416-421
Number of pages	6
ISBN (Print)	9780769536415
DOIs	https://doi.org/10.1109/ICIS.2009.144
Publication status	Published - 2009
Event	8th IEEE/ACIS International Conference on Computer and Information Science - Shanghai, 1-3 June, 2009 Duration: 1 Jan 2009 → …

Conference

Conference	8th IEEE/ACIS International Conference on Computer and Information Science
Period	1/01/09 → …

Keywords

algorithm
basketball zone-defense
temporal pattern recognition

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10.1109/ICIS.2009.144Licence: Unspecified

http://ieeexplore.ieee.org/xpl/abstractAuthors.jsp?arnumber=5222919Licence: Unspecified

Cite this

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title = "Temporal pattern recognition in video clips detection",

abstract = "Temporal representation and reasoning plays an important role in data mining and knowledge discovery, particularly, in mining and recognizing patterns with rich temporal information. Based on a formal characterization of time-series and state-sequences, this paper presents the computational technique and algorithm for matching state-based temporal patterns. As a case study of real-life applications, zone-defense pattern recognition in basketball games is specially examined as an illustrating example. Experimental results demonstrate that it provides a formal and comprehensive temporal ontology for research and applications in video events detection.",

keywords = "algorithm, basketball zone-defense, temporal pattern recognition",

author = "A. Zheng and J. Ma and B. Luo and Miltiadis Petridis and S. Zhai and J. Tang",

year = "2009",

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language = "English",

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pages = "416--421",

booktitle = "8th IEEE/ACIS International Conference on Computer and Information Science",

publisher = "IEEE",

note = "8th IEEE/ACIS International Conference on Computer and Information Science ; Conference date: 01-01-2009",

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TY - GEN

T1 - Temporal pattern recognition in video clips detection

AU - Zheng, A.

AU - Ma, J.

AU - Luo, B.

AU - Petridis, Miltiadis

AU - Zhai, S.

AU - Tang, J.

PY - 2009

Y1 - 2009

N2 - Temporal representation and reasoning plays an important role in data mining and knowledge discovery, particularly, in mining and recognizing patterns with rich temporal information. Based on a formal characterization of time-series and state-sequences, this paper presents the computational technique and algorithm for matching state-based temporal patterns. As a case study of real-life applications, zone-defense pattern recognition in basketball games is specially examined as an illustrating example. Experimental results demonstrate that it provides a formal and comprehensive temporal ontology for research and applications in video events detection.

AB - Temporal representation and reasoning plays an important role in data mining and knowledge discovery, particularly, in mining and recognizing patterns with rich temporal information. Based on a formal characterization of time-series and state-sequences, this paper presents the computational technique and algorithm for matching state-based temporal patterns. As a case study of real-life applications, zone-defense pattern recognition in basketball games is specially examined as an illustrating example. Experimental results demonstrate that it provides a formal and comprehensive temporal ontology for research and applications in video events detection.

KW - algorithm

KW - basketball zone-defense

KW - temporal pattern recognition

U2 - 10.1109/ICIS.2009.144

DO - 10.1109/ICIS.2009.144

M3 - Conference contribution with ISSN or ISBN

SN - 9780769536415

SP - 416

EP - 421

BT - 8th IEEE/ACIS International Conference on Computer and Information Science

PB - IEEE

T2 - 8th IEEE/ACIS International Conference on Computer and Information Science

Y2 - 1 January 2009

ER -

Temporal pattern recognition in video clips detection

Abstract

Conference

Keywords

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Cite this