| Title |
Converting Ultrahigh-Definition Video into Digital Cinema by Using Time-Expanding Bi-Directional Motion Estimation and Higher Green Frequency |
| ID_Doc |
62621 |
| Authors |
Matsuo, Y; Yano, S |
| Title |
Converting Ultrahigh-Definition Video into Digital Cinema by Using Time-Expanding Bi-Directional Motion Estimation and Higher Green Frequency |
| Year |
2010 |
| Published |
Ieee Transactions On Circuits And Systems For Video Technology, 20, 1 |
| DOI |
10.1109/TCSVT.2009.2026952 |
| Abstract |
Ultrahigh-definition television (UHDTV) is the next-generation ultrahigh-resolution video system with more than 4000 lines, and 7680 horizontal pixels x 4320 vertical lines at 60 f/s (frames per second) in video format. We propose a method of converting high-quality UHDTV video to digital cinema video that is 3840 horizontal pixels x 2160 vertical lines at 24 f/s. Here, it is important to detect motion vectors extremely accurately to convert the frame rate. We introduced two new algorithms to increase the accuracy of detecting motion vectors. First, we introduced a method of interpolation frames using 1/2 block-shift bi-directional motion estimation by expanding the time axis. The experimental results revealed that our new method produced higher quality video images than conventional methods of video conversion using forward-directional and overlapped block bi-directional motion estimation. Next, we focused on Bayer pattern sampling in existing UHDTV, and introduced a motion-compensated method of interpolation where the first algorithm utilizes the high-frequency components from green signals. The experimental results demonstrated that our proposed method achieves higher quality video conversions than conventional methods using only the first algorithm for motion-compensated interpolation, linear interpolation, and 5: 2 frame skipping. |
| Author Keywords |
Bayer pattern sampling; bi-directional motion estimation; frame rate conversion; ultrahigh-definition television (UHDTV) |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000273566200008 |
| WoS Category |
Engineering, Electrical & Electronic |
| Research Area |
Engineering |
| PDF |
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