Salient event detection in basketball mobile videos

Tutkimustuotos › › vertaisarvioitu

Standard

Salient event detection in basketball mobile videos. / Cricri, Francesco; Mate, Sujeet; Curcio, Igor D D; Gabbouj, Moncef.

Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014. The Institute of Electrical and Electronics Engineers, Inc., 2015. s. 63-70 7032995.

Tutkimustuotos › › vertaisarvioitu

Harvard

Cricri, F, Mate, S, Curcio, IDD & Gabbouj, M 2015, Salient event detection in basketball mobile videos. julkaisussa Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014., 7032995, The Institute of Electrical and Electronics Engineers, Inc., Sivut 63-70, IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA, 1/01/00. https://doi.org/10.1109/ISM.2014.67

APA

Cricri, F., Mate, S., Curcio, I. D. D., & Gabbouj, M. (2015). Salient event detection in basketball mobile videos. teoksessa Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014 (Sivut 63-70). [7032995] The Institute of Electrical and Electronics Engineers, Inc.. https://doi.org/10.1109/ISM.2014.67

Vancouver

Cricri F, Mate S, Curcio IDD, Gabbouj M. Salient event detection in basketball mobile videos. julkaisussa Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014. The Institute of Electrical and Electronics Engineers, Inc. 2015. s. 63-70. 7032995 https://doi.org/10.1109/ISM.2014.67

Author

Cricri, Francesco ; Mate, Sujeet ; Curcio, Igor D D ; Gabbouj, Moncef. / Salient event detection in basketball mobile videos. Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014. The Institute of Electrical and Electronics Engineers, Inc., 2015. Sivut 63-70

Bibtex - Lataa

@inproceedings{44fd894ce81d4c6b805175163bccec05,

title = "Salient event detection in basketball mobile videos",

abstract = "Modern smartphones have become the most popular means for recording videos. In fact, thanks to their portability, smartphones allow for recording anything and at any moment of our everyday life. One common occasion is represented by sport happenings, where people often record their favourite team or players. Automatic analysis of such videos is important for enabling applications such as automatic organization, browsing and summarization of the content. This paper proposes novel algorithms for the detection of salient events in videos recorded at basketball games. The novel approach consists of jointly analyzing visual data and magnetometer data. The magnetometer data provides information about the horizontal orientation of the camera. The proposed joint analysis allows for a reduced number of false positives and for a reduced computational complexity. The algorithms are tested on data captured during real basketball games. The experimental results clearly show the advantages of the proposed approach.",

keywords = "Basketball, detection, event, mobile, video",

author = "Francesco Cricri and Sujeet Mate and Curcio, {Igor D D} and Moncef Gabbouj",

note = "EXT={"}Curcio, Igor D D{"} EXT={"}Mate, Sujeet{"}",

year = "2015",

month = "2",

day = "5",

doi = "10.1109/ISM.2014.67",

language = "English",

isbn = "978-1-4799-4312-8",

pages = "63--70",

booktitle = "Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014",

publisher = "The Institute of Electrical and Electronics Engineers, Inc.",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Salient event detection in basketball mobile videos

AU - Cricri, Francesco

AU - Mate, Sujeet

AU - Curcio, Igor D D

AU - Gabbouj, Moncef

N1 - EXT="Curcio, Igor D D" EXT="Mate, Sujeet"

PY - 2015/2/5

Y1 - 2015/2/5

N2 - Modern smartphones have become the most popular means for recording videos. In fact, thanks to their portability, smartphones allow for recording anything and at any moment of our everyday life. One common occasion is represented by sport happenings, where people often record their favourite team or players. Automatic analysis of such videos is important for enabling applications such as automatic organization, browsing and summarization of the content. This paper proposes novel algorithms for the detection of salient events in videos recorded at basketball games. The novel approach consists of jointly analyzing visual data and magnetometer data. The magnetometer data provides information about the horizontal orientation of the camera. The proposed joint analysis allows for a reduced number of false positives and for a reduced computational complexity. The algorithms are tested on data captured during real basketball games. The experimental results clearly show the advantages of the proposed approach.

AB - Modern smartphones have become the most popular means for recording videos. In fact, thanks to their portability, smartphones allow for recording anything and at any moment of our everyday life. One common occasion is represented by sport happenings, where people often record their favourite team or players. Automatic analysis of such videos is important for enabling applications such as automatic organization, browsing and summarization of the content. This paper proposes novel algorithms for the detection of salient events in videos recorded at basketball games. The novel approach consists of jointly analyzing visual data and magnetometer data. The magnetometer data provides information about the horizontal orientation of the camera. The proposed joint analysis allows for a reduced number of false positives and for a reduced computational complexity. The algorithms are tested on data captured during real basketball games. The experimental results clearly show the advantages of the proposed approach.

KW - Basketball

KW - detection

KW - event

KW - mobile

KW - video

U2 - 10.1109/ISM.2014.67

DO - 10.1109/ISM.2014.67

M3 - Conference contribution

SN - 978-1-4799-4312-8

SP - 63

EP - 70

BT - Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014

PB - The Institute of Electrical and Electronics Engineers, Inc.

ER -

TUTCRIS