DETECTION OF SLOW-MOTION REPLAY SEQUENCES FOR IDENTIFYING SPORTS VIDEOS

Vikrant Kobla; Daniel DeMenthon; David Doermann

doi:10.1109/MMSP.1999.793810

DETECTION OF SLOW-MOTION REPLAY SEQUENCES FOR IDENTIFYING SPORTS VIDEOS

Vikrant Kobla
, Daniel DeMenthon
, David Doermann

Department of Computer Science and Engineering

University of Maryland, College Park

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

38 Scopus citations

Abstract

Automated classification of digital video is emerging as an important piece of the puzzle in the design of content management systems for digital libraries. The ability to classify videos into various genres such as sports, news, movies, or documentaries increases the efficiency of indexing, browsing, and retrieval of video in large databases. In this paper, we present an automated technique for identifying slow-motion replays directly from the compressed domain of MPEG video. It uses the macroblock, motion, and bit-rate information that is readily accessible from MPEG video with very minimal decoding, leading to enormous gains in processing speeds.

Original language	English
Title of host publication	1999 IEEE 3rd Workshop on Multimedia Signal Processing
Editors	K.J. Ray Liu, Jorn Ostermann, Ed Deprettere, W. Bastiaan Kleijn, John Aasted Sorensen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	135-140
Number of pages	6
ISBN (Electronic)	0780356101, 9780780356108
DOIs	https://doi.org/10.1109/MMSP.1999.793810
State	Published - 1999
Event	3rd IEEE Workshop on Multimedia Signal Processing, MMSP 1999 - Copenhagen, Denmark Duration: Sep 13 1999 → Sep 15 1999

Publication series

Name	1999 IEEE 3rd Workshop on Multimedia Signal Processing

Conference

Conference	3rd IEEE Workshop on Multimedia Signal Processing, MMSP 1999
Country/Territory	Denmark
City	Copenhagen
Period	09/13/99 → 09/15/99

Access to Document

10.1109/MMSP.1999.793810

Cite this

Kobla, V., DeMenthon, D., & Doermann, D. (1999). DETECTION OF SLOW-MOTION REPLAY SEQUENCES FOR IDENTIFYING SPORTS VIDEOS. In K. J. R. Liu, J. Ostermann, E. Deprettere, W. B. Kleijn, & J. A. Sorensen (Eds.), 1999 IEEE 3rd Workshop on Multimedia Signal Processing (pp. 135-140). (1999 IEEE 3rd Workshop on Multimedia Signal Processing). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MMSP.1999.793810

Kobla, Vikrant ; DeMenthon, Daniel ; Doermann, David. / DETECTION OF SLOW-MOTION REPLAY SEQUENCES FOR IDENTIFYING SPORTS VIDEOS. 1999 IEEE 3rd Workshop on Multimedia Signal Processing. editor / K.J. Ray Liu ; Jorn Ostermann ; Ed Deprettere ; W. Bastiaan Kleijn ; John Aasted Sorensen. Institute of Electrical and Electronics Engineers Inc., 1999. pp. 135-140 (1999 IEEE 3rd Workshop on Multimedia Signal Processing).

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title = "DETECTION OF SLOW-MOTION REPLAY SEQUENCES FOR IDENTIFYING SPORTS VIDEOS",

abstract = "Automated classification of digital video is emerging as an important piece of the puzzle in the design of content management systems for digital libraries. The ability to classify videos into various genres such as sports, news, movies, or documentaries increases the efficiency of indexing, browsing, and retrieval of video in large databases. In this paper, we present an automated technique for identifying slow-motion replays directly from the compressed domain of MPEG video. It uses the macroblock, motion, and bit-rate information that is readily accessible from MPEG video with very minimal decoding, leading to enormous gains in processing speeds.",

author = "Vikrant Kobla and Daniel DeMenthon and David Doermann",

note = "Publisher Copyright: {\textcopyright} 1999 IEEE 3rd Workshop on Multimedia Signal Processing. All rights reserved.; 3rd IEEE Workshop on Multimedia Signal Processing, MMSP 1999 ; Conference date: 13-09-1999 Through 15-09-1999",

year = "1999",

doi = "10.1109/MMSP.1999.793810",

language = "English",

series = "1999 IEEE 3rd Workshop on Multimedia Signal Processing",

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

pages = "135--140",

editor = "Liu, \{K.J. Ray\} and Jorn Ostermann and Ed Deprettere and Kleijn, \{W. Bastiaan\} and Sorensen, \{John Aasted\}",

booktitle = "1999 IEEE 3rd Workshop on Multimedia Signal Processing",

address = "United States",

}

Kobla, V, DeMenthon, D & Doermann, D 1999, DETECTION OF SLOW-MOTION REPLAY SEQUENCES FOR IDENTIFYING SPORTS VIDEOS. in KJR Liu, J Ostermann, E Deprettere, WB Kleijn & JA Sorensen (eds), 1999 IEEE 3rd Workshop on Multimedia Signal Processing. 1999 IEEE 3rd Workshop on Multimedia Signal Processing, Institute of Electrical and Electronics Engineers Inc., pp. 135-140, 3rd IEEE Workshop on Multimedia Signal Processing, MMSP 1999, Copenhagen, Denmark, 09/13/99. https://doi.org/10.1109/MMSP.1999.793810

DETECTION OF SLOW-MOTION REPLAY SEQUENCES FOR IDENTIFYING SPORTS VIDEOS. / Kobla, Vikrant; DeMenthon, Daniel; Doermann, David.
1999 IEEE 3rd Workshop on Multimedia Signal Processing. ed. / K.J. Ray Liu; Jorn Ostermann; Ed Deprettere; W. Bastiaan Kleijn; John Aasted Sorensen. Institute of Electrical and Electronics Engineers Inc., 1999. p. 135-140 (1999 IEEE 3rd Workshop on Multimedia Signal Processing).

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

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N2 - Automated classification of digital video is emerging as an important piece of the puzzle in the design of content management systems for digital libraries. The ability to classify videos into various genres such as sports, news, movies, or documentaries increases the efficiency of indexing, browsing, and retrieval of video in large databases. In this paper, we present an automated technique for identifying slow-motion replays directly from the compressed domain of MPEG video. It uses the macroblock, motion, and bit-rate information that is readily accessible from MPEG video with very minimal decoding, leading to enormous gains in processing speeds.

AB - Automated classification of digital video is emerging as an important piece of the puzzle in the design of content management systems for digital libraries. The ability to classify videos into various genres such as sports, news, movies, or documentaries increases the efficiency of indexing, browsing, and retrieval of video in large databases. In this paper, we present an automated technique for identifying slow-motion replays directly from the compressed domain of MPEG video. It uses the macroblock, motion, and bit-rate information that is readily accessible from MPEG video with very minimal decoding, leading to enormous gains in processing speeds.

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Kobla V, DeMenthon D, Doermann D. DETECTION OF SLOW-MOTION REPLAY SEQUENCES FOR IDENTIFYING SPORTS VIDEOS. In Liu KJR, Ostermann J, Deprettere E, Kleijn WB, Sorensen JA, editors, 1999 IEEE 3rd Workshop on Multimedia Signal Processing. Institute of Electrical and Electronics Engineers Inc. 1999. p. 135-140. (1999 IEEE 3rd Workshop on Multimedia Signal Processing). doi: 10.1109/MMSP.1999.793810

DETECTION OF SLOW-MOTION REPLAY SEQUENCES FOR IDENTIFYING SPORTS VIDEOS

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