Motion data-driven model for semantic events classification using an optimized support vector machine

Bashar Tahayna; Mohammed Belkhatir; Saadat Alhashmi; Thomas O'Daniel

Motion data-driven model for semantic events classification using an optimized support vector machine

Bashar Tahayna, Mohammed Belkhatir, Saadat Alhashmi, Thomas O'Daniel

Malaysia Sch of Information Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Original language	English
Title of host publication	Proceedings of the 9th ACM International Conference on Image and Video Retrieval (CIVR 2010)
Editors	K Selcuk Candan, Rainer Lienhart, Qi Tian
Place of Publication	New York USA
Publisher	Association for Computing Machinery (ACM)
Pages	296 - 302
Number of pages	7
ISBN (Print)	9781450301176
Publication status	Published - 2010
Event	International Conference on Image and Video Retrieval (CIVR) 2010 - Xi'an, China Duration: 5 Jul 2010 → 7 Jul 2010 Conference number: 9th

Conference

Conference	International Conference on Image and Video Retrieval (CIVR) 2010
Abbreviated title	CIVR 2010
Country/Territory	China
City	Xi'an
Period	5/07/10 → 7/07/10

Cite this

Tahayna, Bashar ; Belkhatir, Mohammed ; Alhashmi, Saadat et al. / Motion data-driven model for semantic events classification using an optimized support vector machine. Proceedings of the 9th ACM International Conference on Image and Video Retrieval (CIVR 2010). editor / K Selcuk Candan ; Rainer Lienhart ; Qi Tian. New York USA : Association for Computing Machinery (ACM), 2010. pp. 296 - 302

@inproceedings{844994fd64c149f083cafc03e97467f4,

title = "Motion data-driven model for semantic events classification using an optimized support vector machine",

author = "Bashar Tahayna and Mohammed Belkhatir and Saadat Alhashmi and Thomas O'Daniel",

year = "2010",

language = "English",

isbn = "9781450301176",

pages = "296 -- 302",

editor = "Candan, \{K Selcuk\} and Rainer Lienhart and Qi Tian",

booktitle = "Proceedings of the 9th ACM International Conference on Image and Video Retrieval (CIVR 2010)",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

note = "International Conference on Image and Video Retrieval (CIVR) 2010, CIVR 2010 ; Conference date: 05-07-2010 Through 07-07-2010",

}

Tahayna, B, Belkhatir, M, Alhashmi, S & O'Daniel, T 2010, Motion data-driven model for semantic events classification using an optimized support vector machine. in KS Candan, R Lienhart & Q Tian (eds), Proceedings of the 9th ACM International Conference on Image and Video Retrieval (CIVR 2010). Association for Computing Machinery (ACM), New York USA, pp. 296 - 302, International Conference on Image and Video Retrieval (CIVR) 2010, Xi'an, China, 5/07/10.

Motion data-driven model for semantic events classification using an optimized support vector machine. / Tahayna, Bashar; Belkhatir, Mohammed; Alhashmi, Saadat et al.
Proceedings of the 9th ACM International Conference on Image and Video Retrieval (CIVR 2010). ed. / K Selcuk Candan; Rainer Lienhart; Qi Tian. New York USA: Association for Computing Machinery (ACM), 2010. p. 296 - 302.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Motion data-driven model for semantic events classification using an optimized support vector machine

AU - Tahayna, Bashar

AU - Belkhatir, Mohammed

AU - Alhashmi, Saadat

AU - O'Daniel, Thomas

N1 - Conference code: 9th

PY - 2010

Y1 - 2010

UR - https://www.scopus.com/pages/publications/77955915156

M3 - Conference Paper

SN - 9781450301176

SP - 296

EP - 302

BT - Proceedings of the 9th ACM International Conference on Image and Video Retrieval (CIVR 2010)

A2 - Candan, K Selcuk

A2 - Lienhart, Rainer

A2 - Tian, Qi

PB - Association for Computing Machinery (ACM)

CY - New York USA

T2 - International Conference on Image and Video Retrieval (CIVR) 2010

Y2 - 5 July 2010 through 7 July 2010

ER -

Motion data-driven model for semantic events classification using an optimized support vector machine

Conference

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