Baseball scene classification using multimedia features

Wei Hua; Mei Han; Yihong Gong

doi:10.1109/ICME.2002.1035908

Baseball scene classification using multimedia features

Wei Hua
, Mei Han
, Yihong Gong

Inc

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

43 Scopus citations

Abstract

In this paper, we address the issue of classifying video scenes which is essential in video indexing, archiving and summarization. Compared with previous methods, we emphasize the integration of multimedia features, including image, audio and speech cues. With current state-of-the-art image and audio analysis techniques, most image and audio features we can extract from videos are very low level, therefore, classifying scenes based on features from a single medium yields poor performance. We propose a maximum entropy based method for baseball scene classification in TV broadcast videos. The maximum entropy scheme is chosen because it can automatically select and fuse multimedia features from temporal contexts.

Original language	English
Title of host publication	Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	821-824
Number of pages	4
ISBN (Electronic)	0780373049
DOIs	https://doi.org/10.1109/ICME.2002.1035908
State	Published - 2002
Externally published	Yes
Event	2002 IEEE International Conference on Multimedia and Expo, ICME 2002 - Lausanne, Switzerland Duration: 26 Aug 2002 → 29 Aug 2002

Publication series

Name	Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
Volume	1

Conference

Conference	2002 IEEE International Conference on Multimedia and Expo, ICME 2002
Country/Territory	Switzerland
City	Lausanne
Period	26/08/02 → 29/08/02

Access to Document

10.1109/ICME.2002.1035908

Cite this

Hua, W., Han, M., & Gong, Y. (2002). Baseball scene classification using multimedia features. In Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002 (pp. 821-824). Article 1035908 (Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICME.2002.1035908

@inproceedings{c77e5d488036487d8de35fcc17e07a47,

title = "Baseball scene classification using multimedia features",

abstract = "In this paper, we address the issue of classifying video scenes which is essential in video indexing, archiving and summarization. Compared with previous methods, we emphasize the integration of multimedia features, including image, audio and speech cues. With current state-of-the-art image and audio analysis techniques, most image and audio features we can extract from videos are very low level, therefore, classifying scenes based on features from a single medium yields poor performance. We propose a maximum entropy based method for baseball scene classification in TV broadcast videos. The maximum entropy scheme is chosen because it can automatically select and fuse multimedia features from temporal contexts.",

author = "Wei Hua and Mei Han and Yihong Gong",

note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; 2002 IEEE International Conference on Multimedia and Expo, ICME 2002 ; Conference date: 26-08-2002 Through 29-08-2002",

year = "2002",

doi = "10.1109/ICME.2002.1035908",

language = "英语",

series = "Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002",

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

pages = "821--824",

booktitle = "Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002",

}

Hua, W, Han, M & Gong, Y 2002, Baseball scene classification using multimedia features. in Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002., 1035908, Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002, vol. 1, Institute of Electrical and Electronics Engineers Inc., pp. 821-824, 2002 IEEE International Conference on Multimedia and Expo, ICME 2002, Lausanne, Switzerland, 26/08/02. https://doi.org/10.1109/ICME.2002.1035908

Baseball scene classification using multimedia features. / Hua, Wei; Han, Mei; Gong, Yihong.
Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002. Institute of Electrical and Electronics Engineers Inc., 2002. p. 821-824 1035908 (Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002; Vol. 1).

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

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AB - In this paper, we address the issue of classifying video scenes which is essential in video indexing, archiving and summarization. Compared with previous methods, we emphasize the integration of multimedia features, including image, audio and speech cues. With current state-of-the-art image and audio analysis techniques, most image and audio features we can extract from videos are very low level, therefore, classifying scenes based on features from a single medium yields poor performance. We propose a maximum entropy based method for baseball scene classification in TV broadcast videos. The maximum entropy scheme is chosen because it can automatically select and fuse multimedia features from temporal contexts.

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BT - Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002

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ER -

Baseball scene classification using multimedia features

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