کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4970497 | 1450126 | 2017 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Bit allocation for 3D video coding based on lagrangian multiplier adjustment
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
Multi-view video plus depth (MVD) format 3D video consists of color texture image and gray depth map, the depth map provides the scene geometry information and is utilized to synthesize the virtual views through Depth Image Based Rendering (DIBR) technique. The quality of the synthesized virtual views is related to the qualities of both texture image and depth map, thus bit allocation between texture image and depth map is very important in 3D video coding. In this paper, we propose to optimally allocate bits between texture image and depth map by adjusting the Lagrangian Multiplier (LM) in depth map coding, we adjust the LM based on the difference between texture image coding Quantization Parameter (QP) and depth map QP. Experimental results show that the proposed method can achieve optimal 3D video coding performance for different sequences under different bitrates, and the complexity of our method is extremely low.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing: Image Communication - Volume 52, March 2017, Pages 1-5
Journal: Signal Processing: Image Communication - Volume 52, March 2017, Pages 1-5
نویسندگان
Chao Yang, Ping An, Deyang Liu, Liquan Shen, Kai Li,