Fast depth intra coding based on texture feature and spatio‐temporal correlation in 3D‐HEVC.
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| Title: | Fast depth intra coding based on texture feature and spatio‐temporal correlation in 3D‐HEVC. |
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| Authors: | Li, Tiansong1 (AUTHOR), Yu, Li1 (AUTHOR) hustlyu@hust.edu.cn, Wang, Hongkui1 (AUTHOR), Chen, Yamei1 (AUTHOR) |
| Source: | IET Image Processing (Wiley-Blackwell). Jan2021, Vol. 15 Issue 1, p206-217. 12p. |
| Abstract: | To alleviate the computation burden of the depth intra coding in 3D‐HEVC, a complexity reduction scheme based on texture feature and spatio‐temporal correlation is proposed. Firstly, a maximum splitting depth layer decision algorithm is proposed to reduce unnecessary splitting depth layer of the coding tree unit utilising the information of the previous encoded I frame in the same view. Secondly, a new texture complexity model is built by pixel‐based statistical method combined with edge detection. Based on the proposed model, the coding unit block is divided into the smooth block, texture or edge block. On the coding unit level, an early termination of coding unit splitting algorithm for smooth blocks is proposed to filter out unnecessary coding blocks. Thirdly, on the predicting unit level, a fast candidate mode decision algorithm considering predicting unit's types and spatial correlation is proposed to decide the candidate mode list directly. Experimental results describe that the proposed algorithm reduces 53.8% depth intra coding time on average, with 0.43% BD‐rate loss on synthesised views. [ABSTRACT FROM AUTHOR] |
| Copyright of IET Image Processing (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 148143028 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Fast depth intra coding based on texture feature and spatio‐temporal correlation in 3D‐HEVC. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Tiansong%22">Li, Tiansong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Li%22">Yu, Li</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hustlyu@hust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Hongkui%22">Wang, Hongkui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Yamei%22">Chen, Yamei</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IET+Image+Processing+%28Wiley-Blackwell%29%22">IET Image Processing (Wiley-Blackwell)</searchLink>. Jan2021, Vol. 15 Issue 1, p206-217. 12p. – Name: Abstract Label: Abstract Group: Ab Data: To alleviate the computation burden of the depth intra coding in 3D‐HEVC, a complexity reduction scheme based on texture feature and spatio‐temporal correlation is proposed. Firstly, a maximum splitting depth layer decision algorithm is proposed to reduce unnecessary splitting depth layer of the coding tree unit utilising the information of the previous encoded I frame in the same view. Secondly, a new texture complexity model is built by pixel‐based statistical method combined with edge detection. Based on the proposed model, the coding unit block is divided into the smooth block, texture or edge block. On the coding unit level, an early termination of coding unit splitting algorithm for smooth blocks is proposed to filter out unnecessary coding blocks. Thirdly, on the predicting unit level, a fast candidate mode decision algorithm considering predicting unit's types and spatial correlation is proposed to decide the candidate mode list directly. Experimental results describe that the proposed algorithm reduces 53.8% depth intra coding time on average, with 0.43% BD‐rate loss on synthesised views. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IET Image Processing (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1049/ipr2.12021 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 206 Titles: – TitleFull: Fast depth intra coding based on texture feature and spatio‐temporal correlation in 3D‐HEVC. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Tiansong – PersonEntity: Name: NameFull: Yu, Li – PersonEntity: Name: NameFull: Wang, Hongkui – PersonEntity: Name: NameFull: Chen, Yamei IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 17519659 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: IET Image Processing (Wiley-Blackwell) Type: main |
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