Presentation 2000/12/8
An Analysis of Video Searching Methods from Temporal Characteristics
Hidekazu TAKAHASHI, Mei KODAMA, Kazufumi KANEDA, Hideo YAMASHITA,
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Abstract(in English) Today, we often use the video data in user personal equipment in multimedia communication services. Therefore, we consider the matching method of using the temporal characteristics in video searching system. In this paper, we pay attention to the luminance variances and the correlation value of the luminance variances between current frame and next frame. In addition, we propose matching algorithm the grouping correlation value by threshold and matching time can be short. Finally, we consider the structure of group and matching results in query video which have scene changes and not have ones.
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Keyword(in English) Video Retrieval Method / Correlation Value / Grouping / Scene Change / Fast Algorithm
Paper # CS2000-120,IE2000-130
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Committee IE
Conference Date 2000/12/8(1days)
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Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Analysis of Video Searching Methods from Temporal Characteristics
Sub Title (in English)
Keyword(1) Video Retrieval Method
Keyword(2) Correlation Value
Keyword(3) Grouping
Keyword(4) Scene Change
Keyword(5) Fast Algorithm
1st Author's Name Hidekazu TAKAHASHI
1st Author's Affiliation HIROSHIMA University()
2nd Author's Name Mei KODAMA
2nd Author's Affiliation HIROSHIMA University
3rd Author's Name Kazufumi KANEDA
3rd Author's Affiliation HIROSHIMA University
4th Author's Name Hideo YAMASHITA
4th Author's Affiliation HIROSHIMA University
Date 2000/12/8
Paper # CS2000-120,IE2000-130
Volume (vol) vol.100
Number (no) 502
Page pp.pp.-
#Pages 5
Date of Issue