Joint processing and fast encoding algorithm for multi-view depth video Article Swipe
Zongju Peng
,
Huimin Han
,
Fen Chen
,
Gangyi Jiang
,
Mei Yu
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1186/s13640-016-0128-3
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1186/s13640-016-0128-3
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.
Related Topics
Concepts
Computer science
Multiview Video Coding
Coding (social sciences)
Coding tree unit
Encoder
Artificial intelligence
Computer vision
Depth map
Algorithmic efficiency
Algorithm
Video processing
Context-adaptive binary arithmetic coding
Motion compensation
View synthesis
Video tracking
Data compression
Decoding methods
Mathematics
Rendering (computer graphics)
Image (mathematics)
Statistics
Operating system
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s13640-016-0128-3
- https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-016-0128-3
- OA Status
- gold
- Cited By
- 5
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2511292138
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2511292138Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1186/s13640-016-0128-3Digital Object Identifier
- Title
-
Joint processing and fast encoding algorithm for multi-view depth videoWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-09-01Full publication date if available
- Authors
-
Zongju Peng, Huimin Han, Fen Chen, Gangyi Jiang, Mei YuList of authors in order
- Landing page
-
https://doi.org/10.1186/s13640-016-0128-3Publisher landing page
- PDF URL
-
https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-016-0128-3Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-016-0128-3Direct OA link when available
- Concepts
-
Computer science, Multiview Video Coding, Coding (social sciences), Coding tree unit, Encoder, Artificial intelligence, Computer vision, Depth map, Algorithmic efficiency, Algorithm, Video processing, Context-adaptive binary arithmetic coding, Motion compensation, View synthesis, Video tracking, Data compression, Decoding methods, Mathematics, Rendering (computer graphics), Image (mathematics), Statistics, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1, 2020: 2, 2018: 1, 2017: 1Per-year citation counts (last 5 years)
- References (count)
-
35Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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