| Project/Area Number |
11680343
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|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
計算機科学
|
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| Research Institution | The University of Tokyo |
|---|
Principal Investigator |
SHINAGAWA Yoshihisa Graduate School of Information Science and Technology, The University of Tokyo Assistant Professor, 大学院・情報理工学系研究科, 講師 (00226135)
|
|---|
| Project Period (FY) |
1999 – 2001
|
| Project Status |
Completed (Fiscal Year 2001)
|
| Budget Amount *help |
¥3,700,000 (Direct Cost: ¥3,700,000)
Fiscal Year 2001: ¥700,000 (Direct Cost: ¥700,000)
Fiscal Year 2000: ¥1,200,000 (Direct Cost: ¥1,200,000)
Fiscal Year 1999: ¥1,800,000 (Direct Cost: ¥1,800,000)
|
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| Keywords | Video Compression / MPEG / Image matching / Morphing / Video Transmission / Critical-Point Filters / Keyframe / Motion Estimation / MPHG |
|---|
| Research Abstract |
We have proposed a method to compress a sequence of images such as a video sequence by first finding the dense correspondence between keyframes and then by compressing the residuals. Central to the proposed work is the use of an automatic image matching algorithm called CPF that establishes a pixel-by-pixel mapping between arbitrary images. There is no need for any prior knowledge of the objects in the images. Parameters are set completely automatically by dynamical computation. CPF computes the optimal mapping the between two images at each resolution where the multiresolution hierarchy is generated by the CPFs that preserve the stronger critical points. Thus, CPF is suitable for arbitrary image sequences where there can be no assumption on the image contents.
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