Abstract
True motion estimation is necessary for deinterlacing, frame-rate conversion, and film judder compensation. There have been several block-based approaches to find true motion vectors by tracing minimum sum-of-absolute- difference values by considering spatial and temporal consistency. However, the algorithms cannot find robust motion vectors when the texture of objects is changed. To find the robust motion vectors in the region, a recursive vector selection scheme and an adaptive weighting parameter are proposed. Previous frame vectors are recursively averaged to be utilized for motion error region. The weighting parameter controls fidelity to input vectors and the recursively averaged ones, where the input vectors come from the conventional estimators. If the input vectors are not reliable, then the mean vectors of the previous frame are used for temporal consistency. Experimental results show more robust motion vectors than those of the conventional methods in time-varying texture objects.
| Original language | English |
|---|---|
| Pages (from-to) | 265-275 |
| Number of pages | 11 |
| Journal | International Journal of Imaging Systems and Technology |
| Volume | 18 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2008 Nov 10 |
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All Science Journal Classification (ASJC) codes
- Software
- Electronic, Optical and Magnetic Materials
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
Cite this
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Block-based recursive motion filtering for preserving true motion vectors in time-varying texture objects. / Sohn, Young Wook; Kang, Moon Gi.
In: International Journal of Imaging Systems and Technology, Vol. 18, No. 4, 10.11.2008, p. 265-275.Research output: Contribution to journal › Article
TY - JOUR
T1 - Block-based recursive motion filtering for preserving true motion vectors in time-varying texture objects
AU - Sohn, Young Wook
AU - Kang, Moon Gi
PY - 2008/11/10
Y1 - 2008/11/10
N2 - True motion estimation is necessary for deinterlacing, frame-rate conversion, and film judder compensation. There have been several block-based approaches to find true motion vectors by tracing minimum sum-of-absolute- difference values by considering spatial and temporal consistency. However, the algorithms cannot find robust motion vectors when the texture of objects is changed. To find the robust motion vectors in the region, a recursive vector selection scheme and an adaptive weighting parameter are proposed. Previous frame vectors are recursively averaged to be utilized for motion error region. The weighting parameter controls fidelity to input vectors and the recursively averaged ones, where the input vectors come from the conventional estimators. If the input vectors are not reliable, then the mean vectors of the previous frame are used for temporal consistency. Experimental results show more robust motion vectors than those of the conventional methods in time-varying texture objects.
AB - True motion estimation is necessary for deinterlacing, frame-rate conversion, and film judder compensation. There have been several block-based approaches to find true motion vectors by tracing minimum sum-of-absolute- difference values by considering spatial and temporal consistency. However, the algorithms cannot find robust motion vectors when the texture of objects is changed. To find the robust motion vectors in the region, a recursive vector selection scheme and an adaptive weighting parameter are proposed. Previous frame vectors are recursively averaged to be utilized for motion error region. The weighting parameter controls fidelity to input vectors and the recursively averaged ones, where the input vectors come from the conventional estimators. If the input vectors are not reliable, then the mean vectors of the previous frame are used for temporal consistency. Experimental results show more robust motion vectors than those of the conventional methods in time-varying texture objects.
UR - http://www.scopus.com/inward/record.url?scp=55349111856&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=55349111856&partnerID=8YFLogxK
U2 - 10.1002/ima.20159
DO - 10.1002/ima.20159
M3 - Article
AN - SCOPUS:55349111856
VL - 18
SP - 265
EP - 275
JO - International Journal of Imaging Systems and Technology
JF - International Journal of Imaging Systems and Technology
SN - 0899-9457
IS - 4
ER -