Joint processing and fast encoding algorithm for multi-view depth video
The multi-view video plus depth format is the main representation of a three-dimensional (3D) scene. In the 3D extension of high-efficiency video coding (3D-HEVC), the main framework for depth video is similar to that of color video. However, because of the limitation of the mainstream capture techn...
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| Published in: | EURASIP journal on image and video processing Vol. 2016; no. 1; pp. 1 - 13 |
|---|---|
| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Cham
Springer International Publishing
01.09.2016
Springer Nature B.V |
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| ISSN: | 1687-5281, 1687-5176, 1687-5281 |
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| Abstract | The multi-view video plus depth format is the main representation of a three-dimensional (3D) scene. In the 3D extension of high-efficiency video coding (3D-HEVC), the main framework for depth video is similar to that of color video. However, because of the limitation of the mainstream capture technologies, depth video is inaccurate and inconsistent. In addition, the depth video coding method in the current 3D-HEVC software implementation is highly complex. In this paper, we introduce a joint processing and fast coding algorithm for depth video. The proposed algorithm utilizes the depth and color features to extract depth discontinuous regions, depth edge regions, and motion regions as masks for efficient processing and fast coding. The processing step includes spatial and temporal enhancement. The fast coding method mainly limits the traversal of the CU partition and mode decision. Experimental results demonstrate that the proposed algorithm reduces the coding time and the depth video coding bitrate; the proposed algorithm reduces overall coding time by 44.24 % and depth video coding time by 72.00 % on average. In addition, there is a 24.07 % depth video coding bitrate reduction with an average of 1.65 % Bjontegaard delta bitrate gains. |
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| AbstractList | The multi-view video plus depth format is the main representation of a three-dimensional (3D) scene. In the 3D extension of high-efficiency video coding (3D-HEVC), the main framework for depth video is similar to that of color video. However, because of the limitation of the mainstream capture technologies, depth video is inaccurate and inconsistent. In addition, the depth video coding method in the current 3D-HEVC software implementation is highly complex. In this paper, we introduce a joint processing and fast coding algorithm for depth video. The proposed algorithm utilizes the depth and color features to extract depth discontinuous regions, depth edge regions, and motion regions as masks for efficient processing and fast coding. The processing step includes spatial and temporal enhancement. The fast coding method mainly limits the traversal of the CU partition and mode decision. Experimental results demonstrate that the proposed algorithm reduces the coding time and the depth video coding bitrate; the proposed algorithm reduces overall coding time by 44.24 % and depth video coding time by 72.00 % on average. In addition, there is a 24.07 % depth video coding bitrate reduction with an average of 1.65 % Bjontegaard delta bitrate gains. The multi-view video plus depth format is the main representation of a three-dimensional (3D) scene. In the 3D extension of high-efficiency video coding (3D-HEVC), the main framework for depth video is similar to that of color video. However, because of the limitation of the mainstream capture technologies, depth video is inaccurate and inconsistent. In addition, the depth video coding method in the current 3D-HEVC software implementation is highly complex. In this paper, we introduce a joint processing and fast coding algorithm for depth video. The proposed algorithm utilizes the depth and color features to extract depth discontinuous regions, depth edge regions, and motion regions as masks for efficient processing and fast coding. The processing step includes spatial and temporal enhancement. The fast coding method mainly limits the traversal of the CU partition and mode decision. Experimental results demonstrate that the proposed algorithm reduces the coding time and the depth video coding bitrate; the proposed algorithm reduces overall coding time by 44.24 % and depth video coding time by 72.00 % on average. In addition, there is a 24.07 % depth video coding bitrate reduction with an average of 1.65 % Bjontegaard delta bitrate gains. |
| ArticleNumber | 24 |
| Author | Han, Huimin Jiang, Gangyi Chen, Fen Yu, Mei Peng, Zongju |
| Author_xml | – sequence: 1 givenname: Zongju surname: Peng fullname: Peng, Zongju email: pengzongju@126.com organization: Faculty of Information Science and Engineering, Ningbo University – sequence: 2 givenname: Huimin surname: Han fullname: Han, Huimin organization: Faculty of Information Science and Engineering, Ningbo University – sequence: 3 givenname: Fen surname: Chen fullname: Chen, Fen organization: Faculty of Information Science and Engineering, Ningbo University – sequence: 4 givenname: Gangyi surname: Jiang fullname: Jiang, Gangyi organization: Faculty of Information Science and Engineering, Ningbo University – sequence: 5 givenname: Mei surname: Yu fullname: Yu, Mei organization: Faculty of Information Science and Engineering, Ningbo University |
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| SubjectTerms | Algorithms Biometrics Coding Color Computer programs Deltas Engineering Feature extraction Gain Image Processing and Computer Vision Pattern Recognition Representations Signal,Image and Speech Processing |
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| Title | Joint processing and fast encoding algorithm for multi-view depth video |
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