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Algorithms for efficient and fast 3D...
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Agostini, Luciano.
Algorithms for efficient and fast 3D-HEVC depth map encoding
Record Type:
Electronic resources : Monograph/item
Title/Author:
Algorithms for efficient and fast 3D-HEVC depth map encodingby Gustavo Sanchez, Luciano Agostini, Cesar Marcon.
Author:
Sanchez, Gustavo.
other author:
Agostini, Luciano.
Published:
Cham :Springer International Publishing :2020.
Description:
x, 83 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
3-D video (Three-dimensional imaging)
Online resource:
https://doi.org/10.1007/978-3-030-25927-3
ISBN:
9783030259273$q(electronic bk.)
Algorithms for efficient and fast 3D-HEVC depth map encoding
Sanchez, Gustavo.
Algorithms for efficient and fast 3D-HEVC depth map encoding
[electronic resource] /by Gustavo Sanchez, Luciano Agostini, Cesar Marcon. - Cham :Springer International Publishing :2020. - x, 83 p. :ill., digital ;24 cm.
Introduction -- 3D-HEVC Background -- State-of-the-Art Overview -- Novel Encoding Time Reduction for 3D-HEVC Depth Map Intra-frame Prediction -- Novel 3D-HEVC Inter-Frame Prediction Encoding Time Reduction -- Conclusions and Open Research Possibilities.
This book describes and analyzes in detail the encoding effort and the encoding tool usage applied to 3D-HEVC depth map coding. Based on the analyzed information, the authors introduce efficient algorithms for accelerating the available encoding tools. The contributions discussed in this book include four algorithms for reducing intra-frame encoding effort and three algorithms for reducing inter-frame encoding effort. The presented results demonstrate several levels of encoding effort reduction with different impacts in the encoding efficiency, surpassing state-of-the-art solutions by more than 50% the encoding effort with only 0.3% encoding efficiency loss. Offers readers a broad description of the new encoding tools used in 3D-HEVC depth map coding; Includes an overview of the state-of-the-art works on encoding effort reduction for 3D-HEVC depth map coding; Provides a detailed statistical analysis of the encoding effort in 3D-HEVC depth map encoding; Describes four encoding effort reduction algorithms for depth map intra-frame prediction; Includes three encoding effort reduction algorithms for depth map inter-frame prediction.
ISBN: 9783030259273$q(electronic bk.)
Standard No.: 10.1007/978-3-030-25927-3doiSubjects--Topical Terms:
712033
3-D video (Three-dimensional imaging)
LC Class. No.: TK6680.8.A15 / S35 2020
Dewey Class. No.: 006.696
Algorithms for efficient and fast 3D-HEVC depth map encoding
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Introduction -- 3D-HEVC Background -- State-of-the-Art Overview -- Novel Encoding Time Reduction for 3D-HEVC Depth Map Intra-frame Prediction -- Novel 3D-HEVC Inter-Frame Prediction Encoding Time Reduction -- Conclusions and Open Research Possibilities.
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This book describes and analyzes in detail the encoding effort and the encoding tool usage applied to 3D-HEVC depth map coding. Based on the analyzed information, the authors introduce efficient algorithms for accelerating the available encoding tools. The contributions discussed in this book include four algorithms for reducing intra-frame encoding effort and three algorithms for reducing inter-frame encoding effort. The presented results demonstrate several levels of encoding effort reduction with different impacts in the encoding efficiency, surpassing state-of-the-art solutions by more than 50% the encoding effort with only 0.3% encoding efficiency loss. Offers readers a broad description of the new encoding tools used in 3D-HEVC depth map coding; Includes an overview of the state-of-the-art works on encoding effort reduction for 3D-HEVC depth map coding; Provides a detailed statistical analysis of the encoding effort in 3D-HEVC depth map encoding; Describes four encoding effort reduction algorithms for depth map intra-frame prediction; Includes three encoding effort reduction algorithms for depth map inter-frame prediction.
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Agostini, Luciano.
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Marcon, Cesar.
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Engineering (SpringerNature-11647)
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EB TK6680.8.A15 S211 2020 2020
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https://doi.org/10.1007/978-3-030-25927-3
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