Presentation 2005-03-17
Acquisition of depth distribution on image by sequential estimation of camera rotation and translation parameters for video classification
SATOSHI SHIMADA, TOSHIKAZU KARITSUKA, MASASHI MORIMOTO,
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Abstract(in English) The depth distribution on an image derived from the distance between camera and projected objects is an effective feature for the image classification. For example, the variance of the distribution is considered small when landscape, large when human upshot. It can also be used for the video shot size discrimination as loose shots, tight shots and so on. This paper proposes an acquisition method of depth distribution on moving images for the video shot classification robustly under perspective projection camera model. The method at first estimates the camera rotation parameters independently, and sequentially acquires the depth distribution under the assumption of simply camera translation motion. Simulation experiments for the evaluation of the acquisition accuracy show the effectiveness of the proposed method.
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Keyword(in English) video classification / multi-view images / camera motion / structure from motion / 3D model
Paper # TL2004-54,PRMU2004-222
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Committee TL
Conference Date 2005/3/10(1days)
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Registration To Thought and Language (TL)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Acquisition of depth distribution on image by sequential estimation of camera rotation and translation parameters for video classification
Sub Title (in English)
Keyword(1) video classification
Keyword(2) multi-view images
Keyword(3) camera motion
Keyword(4) structure from motion
Keyword(5) 3D model
1st Author's Name SATOSHI SHIMADA
1st Author's Affiliation NTT Cyber Solutions Laboratories()
2nd Author's Name TOSHIKAZU KARITSUKA
2nd Author's Affiliation NTT Cyber Solutions Laboratories
3rd Author's Name MASASHI MORIMOTO
3rd Author's Affiliation NTT Cyber Solutions Laboratories
Date 2005-03-17
Paper # TL2004-54,PRMU2004-222
Volume (vol) vol.104
Number (no) 739
Page pp.pp.-
#Pages 6
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