Video skimming based on story units via general tempo analysis

Shih Hung Lee; Chia H. Yeh; C. C.Jay Kuo

Video skimming based on story units via general tempo analysis

Shih Hung Lee^*, Chia H. Yeh, C. C.Jay Kuo

^*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

A skimming system for movie content exploration is proposed using story units extracted via general tempo analysis of audio and visual data. Quite a few schemes have been proposed to segment video data into shots with low-level features, yet the grouping of shots into meaningful units, called story units here, is important and challenging. In this work, we detect similar shots using key frames and include these similar shots as a node. Then, an importance measure is calculated based on the total length of each node. Finally, we select sinks and shots according to this measure. Based on these semantic shots, a meaningful skim can be successfully generated. Simulation results are presented to show that the proposed video skimming scheme can preserve the essential and significant content of the original video data.

Original language	English
Title of host publication	2004 IEEE International Conference on Multimedia and Expo (ICME)
Pages	1099-1102
Number of pages	4
Publication status	Published - 2004
Externally published	Yes
Event	2004 IEEE International Conference on Multimedia and Expo (ICME) - Taipei, Taiwan Duration: 2004 Jun 27 → 2004 Jun 30

Publication series

Name	2004 IEEE International Conference on Multimedia and Expo (ICME)
Volume	2

Conference

Conference	2004 IEEE International Conference on Multimedia and Expo (ICME)
Country/Territory	Taiwan
City	Taipei
Period	2004/06/27 → 2004/06/30

ASJC Scopus subject areas

General Engineering

Cite this

@inproceedings{08ffec9689b542f28463555dcc7ba7b2,

title = "Video skimming based on story units via general tempo analysis",

abstract = "A skimming system for movie content exploration is proposed using story units extracted via general tempo analysis of audio and visual data. Quite a few schemes have been proposed to segment video data into shots with low-level features, yet the grouping of shots into meaningful units, called story units here, is important and challenging. In this work, we detect similar shots using key frames and include these similar shots as a node. Then, an importance measure is calculated based on the total length of each node. Finally, we select sinks and shots according to this measure. Based on these semantic shots, a meaningful skim can be successfully generated. Simulation results are presented to show that the proposed video skimming scheme can preserve the essential and significant content of the original video data.",

author = "Lee, {Shih Hung} and Yeh, {Chia H.} and Kuo, {C. C.Jay}",

year = "2004",

language = "English",

isbn = "0780386035",

series = "2004 IEEE International Conference on Multimedia and Expo (ICME)",

pages = "1099--1102",

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note = "2004 IEEE International Conference on Multimedia and Expo (ICME) ; Conference date: 27-06-2004 Through 30-06-2004",

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T1 - Video skimming based on story units via general tempo analysis

AU - Lee, Shih Hung

AU - Yeh, Chia H.

AU - Kuo, C. C.Jay

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N2 - A skimming system for movie content exploration is proposed using story units extracted via general tempo analysis of audio and visual data. Quite a few schemes have been proposed to segment video data into shots with low-level features, yet the grouping of shots into meaningful units, called story units here, is important and challenging. In this work, we detect similar shots using key frames and include these similar shots as a node. Then, an importance measure is calculated based on the total length of each node. Finally, we select sinks and shots according to this measure. Based on these semantic shots, a meaningful skim can be successfully generated. Simulation results are presented to show that the proposed video skimming scheme can preserve the essential and significant content of the original video data.

AB - A skimming system for movie content exploration is proposed using story units extracted via general tempo analysis of audio and visual data. Quite a few schemes have been proposed to segment video data into shots with low-level features, yet the grouping of shots into meaningful units, called story units here, is important and challenging. In this work, we detect similar shots using key frames and include these similar shots as a node. Then, an importance measure is calculated based on the total length of each node. Finally, we select sinks and shots according to this measure. Based on these semantic shots, a meaningful skim can be successfully generated. Simulation results are presented to show that the proposed video skimming scheme can preserve the essential and significant content of the original video data.

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M3 - Conference contribution

AN - SCOPUS:11244314088

SN - 0780386035

SN - 9780780386037

T3 - 2004 IEEE International Conference on Multimedia and Expo (ICME)

SP - 1099

EP - 1102

BT - 2004 IEEE International Conference on Multimedia and Expo (ICME)

T2 - 2004 IEEE International Conference on Multimedia and Expo (ICME)

Y2 - 27 June 2004 through 30 June 2004

ER -

Video skimming based on story units via general tempo analysis

Abstract

Publication series

Conference

ASJC Scopus subject areas

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