کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5026210 | 1369861 | 2016 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An efficient depth modeling mode decision algorithm for 3D-HEVC depth map coding
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: An efficient depth modeling mode decision algorithm for 3D-HEVC depth map coding An efficient depth modeling mode decision algorithm for 3D-HEVC depth map coding](/preview/png/5026210.png)
چکیده انگلیسی
With the purpose of augmenting immersive perception, 3D video coding extension of High Efficiency Video Coding (3D-HEVC) standard is developed. This extension employs Multiview Video plus Depth (MVD) format in which immediate virtual view texture videos can be rendered by adjacent depth maps, so that bitrates and coding runtime of multiview video are saved. A good preservation of depth map is vital to synthesize high-quality virtual view texture videos. Hence, several new depth map coding tools have been introduced into 3D-HEVC, such as Depth Modeling Mode (DMM) decision. However, the numerous DMM candidates result in a huge computational complexity, which prevents 3D-HEVC for practical use. To this end, we propose an efficient DMM decision algorithm for 3D-HEVC depth map coding, which incorporates unnecessary depth blocks skipping approach and Contour pattern early termination method. Simulated experiment results state that the proposed efficient DMM decision method can save about 31.33% coding time on average with only 0.01Â dB of PSNR drop and just 0.60% bitrate increase on average compared to the original 3D-HEVC encoder.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optik - International Journal for Light and Electron Optics - Volume 127, Issue 24, December 2016, Pages 12048-12055
Journal: Optik - International Journal for Light and Electron Optics - Volume 127, Issue 24, December 2016, Pages 12048-12055
نویسندگان
Jinchao Zhao, Xiaoxin Zhao, Weiwei Zhang, Fenqin Wang, Qiuwen Zhang,