Fast mode decision algorithm for 3D-HEVC encoding optimization based on depth information

Zhang, Qiuwen; Wang, Xiao; Su, Rijian; Gan, Yong

doi:10.1016/j.dsp.2015.06.005

Cited by 19 publications

(4 citation statements)

References 26 publications

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“…The utilization of digital watermarks for efficient video transmission can be beneficial to ensure copyright. A digital watermark can be embedded either in a compressed video or uncompressed video [2]. Video information are always transported and stored in the form of compressed data.…”

Section: Related Workmentioning

confidence: 99%

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Efficient DWT-based SVD Watermarked 3D Video Transmission over MC-CDMA Wireless Channel

El-Bakary

El‐Shafai

El-Rabaie

et al. 2021

Preprint

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Three-Dimensional Video (3DV) communication through wireless channels suffers from bit-streams losses. Therefore, the efficient performance of 3DV transmission techniques over wireless networks is a considerable hot research topic. A high compression ratio must be introduced to meet future bandwidth restriction for optimized 3DV transmission. Unfortunately, the compressed 3DV bit-streams are more sensitive and vulnerable to packet losses. In this paper, we propose the application of chaotic Baker interleaving with equalization and convolution coding for efficient Discrete Wavelet Transform (DWT)-based Singular Value Decomposition (SVD) watermarked 3DV transmission over a Multi-Carrier Code Division Multiple Accesses (MC-CDMA) wireless channel. Firstly, the compressed 3DV frames are watermarking using the DWT+SVD watermarking process. After that, chaotic interleaving is applied to minimize the channel effects on the transported bit-streams and it also adds an encryption to the transported 3DV frames. To test the performance of the proposed hybrid techniques; several experiments on different (DWT+SVD) watermarked 3DV frames have been tested. The experimental results confirm that the received watermarked 3DV frames still have high Peak Signal-to-Noise Ratios (PSNRs) and efficient watermark extraction is possible.

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Section: Related Workmentioning

confidence: 99%

“…The 3DV has expected to quickly replace traditional 2D video in different applications [1][2][3]. In 3DV system, the original 3DV data is a collection of video streams taken for the same object by multiple cameras, simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Efficient DWT-based SVD Watermarked 3D Video Transmission over MC-CDMA Wireless Channel

El-Bakary

El‐Shafai

El-Rabaie

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Test conditions are used as follows: three-view case: center view -left view -right view (in coding order), QP are set as (25,34), (30,39), (35,42) and (40,45), the maximum coding unit is 64×64 pixels, a max partition depth is 4. In this section, we compare the proposed fast method with HTM16.1 and the state-of-the-art fast methods [33], [35], [36], [38], where the compression efficiency is measured by BDBR [42], and " TS " means the entire encoding time saving compared with 3D-HEVC, which is defined as follow, (10) where proposed Time and origional Time denote encoding time of the proposed scheme and original 3D-HEVC for same test video, respectively. In Tables VIII-X, " t TS ", " d TS ", and " o TS " represent run time savings of the texture, depth, and overall coding, respectively.…”

Section: A Experimental Setupmentioning

confidence: 99%

“…It reports averaged 47.1% time saving with 0.1% bit-rate loss. A fast texture video mode decision method based on the depth information is investigated in [36], which can achieve the computational complexity reduction of 3D-HEVC. This method exploits the correlations of depth map values to simplify the coding process of texture video.…”

Section: Introductionmentioning

confidence: 99%

A Fast and Efficient 3D-HEVC Method for Complexity Reduction Based on the Correlations of Inter-View, Spatio-Temporal, and Texture-Depth

et al. 2020

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3D High Efficiency Video Coding (3D-HEVC) is the latest High Efficiency Video Coding (HEVC) standard development to improve the compression performance of multi-view video plus depth (MVD) format. It adopts several additional coding tools for better representation of the dependent texture and depth data. These tools achieve high compression efficiency, but require high computational complexity. In this paper, we introduce a fast 3D-HEVC method for the complexity reduction of MVD. A simulation analysis is performed to study the coding information correlations of interview , spatio-temporal and texture-depth. The proposed fast algorithm decides to skip some treeblocks of texture and depth map at the early stage without a normal coding process, which includes fast depth level, early SKIP/Merge mode, adaptive early termination, based on the correlations of interview , spatio-temporal, and texture-depth. Experimental results show that the proposed fast scheme can save 70.2% encoding runtime of 3D-HEVC, with negligible loss of rate-distortion (RD) performance. INDEX TERMS 3D-HEVC, low complexity, texture video, depth map.

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Enhanced holoentropy-based encoding via whale optimization for highly efficient video coding

Munagala

Kodati

2020

Vis Comput

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Fast mode decision algorithm for 3D-HEVC encoding optimization based on depth information

Cited by 19 publications

References 26 publications

Efficient DWT-based SVD Watermarked 3D Video Transmission over MC-CDMA Wireless Channel

Efficient DWT-based SVD Watermarked 3D Video Transmission over MC-CDMA Wireless Channel

A Fast and Efficient 3D-HEVC Method for Complexity Reduction Based on the Correlations of Inter-View, Spatio-Temporal, and Texture-Depth

Enhanced holoentropy-based encoding via whale optimization for highly efficient video coding

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