High Efficiency 3D Video Coding Using New Tools Based on View Synthesis

Domański, Marek; Stankiewicz, Olgierd; Wegner, Krzysztof; Kurc, Maciej; Konieczny, Jacek; Siast, Jakub; Stankowski, Jakub; Ratajczak, Robert; Grajek, Tomasz

doi:10.1109/tip.2013.2266580

Cited by 43 publications

(22 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For instance, Domański et al in [31] proposed a 3D video coding method that reduces the overall bitrate using disoccluded 3 region coding. The main idea of the proposed coding technique is to exploit view synthesis prediction as much as possible leading to more efficient coding performance.…”

Section: D Multi-view Video Codingmentioning

confidence: 99%

Adaptive delivery of immersive 3D multi-view video over the Internet

Özçinar

Ekmekcioǧlu

ăźAlić

et al. 2016

Multimed Tools Appl

View full text Add to dashboard Cite

Section: D Multi-view Video Codingmentioning

confidence: 99%

Adaptive delivery of immersive 3D multi-view video over the Internet

Özçinar

Ekmekcioǧlu

ăźAlić

et al. 2016

Multimed Tools Appl

View full text Add to dashboard Cite

“…Efficient compression of MVD data is a very important task in 3DTV processing chain to achieve a wide spread acceptability of 3DTV and FTV technologies. Recently, it has received significant research efforts resulting in new compression friendly MVD representations [12][13][14][15][16][17] and efficient 3D video encoders. Multi-view Video Coding (MVC) [18] was standardized as an extension of Advanced Video Coding (AVC) [19] for multiview video (MVV) format to support the stereoscopic and autostereoscopic 3D displays [20].…”

Section: Introductionmentioning

confidence: 99%

No-reference quality metric for HEVC compression distortion estimation in depth maps

Farid

Lucenteforte

Grangetto

2019

SIViP

View full text Add to dashboard Cite

Multiview video plus depth (MVD) is the most popular 3D video format due to its efficient compression and provision for novel view generation enabling the freeviewpoint applications. In addition to color images, MVD format provides depth maps which are exploited to generate intermediate virtual views using the depth image based rendering (DIBR) techniques. Compression affects the quality of the depth maps which in turn may introduce various structural and textural distortions in the DIBR synthesized images. Estimation of the compression related distortion in depth maps is very important for a high quality 3D experience. The task becomes challenging when the corresponding reference depth maps are unavailable e.g., when evaluating the quality on the decoder side. In this paper, we present a no-reference quality assessment algorithm to estimate the distortion in the depth maps induced by compression. The proposed algorithm exploits the depth saliency and local statistical characteristics of the depth maps to predict the compression distortion. The proposed 'depth distortion evaluator' (DDE) is evaluated on depth videos from standard MVD database compressed with the state-of-the-art high efficiency video coding (HEVC) at various quality levels. The results demonstrate that DDE can be used to effectively estimate the compression distortion in depth videos.

show abstract

“…It is known to be both bandwidth efficient and backward compatible with legacy displays. Recently, a new 3D video coding framework based on the emerging HEVC standard was developed by a joint collaborative team on 3D video (JCT-3V) between International Organization for Standardization (ISO) and International Telecommunication Union (ITU), ranging from conventional stereo video to multiview video plus depth with two or three views and associated depth data components [Domanski et al 2013]. The basic structure of the 3D video codec is shown in Figure 2 [Muller et al 2013].…”

Section: Introductionmentioning

confidence: 99%

A 3D-HEVC Fast Mode Decision Algorithm for Real-Time Applications

Shen

Zhang

et al. 2015

ACM Trans. Multimedia Comput. Commun. Appl.

View full text Add to dashboard Cite

3D High Efficiency Video Coding (3D-HEVC) is an extension of the HEVC standard for coding of multiview videos and depth maps. It inherits the same quadtree coding structure as HEVC for both components, which allows recursively splitting into four equal-sized coding units (CU). One of 11 different prediction modes is chosen to code a CU in inter-frames. Similar to the joint model of H.264/AVC, the mode decision process in HM (reference software of HEVC) is performed using all the possible depth levels and prediction modes to find the one with the least rate distortion cost using a Lagrange multiplier. Furthermore, both motion estimation and disparity estimation need to be performed in the encoding process of 3D-HEVC. Those tools achieve high coding efficiency, but lead to a significant computational complexity. In this article, we propose a fast mode decision algorithm for 3D-HEVC. Since multiview videos and their associated depth maps represent the same scene, at the same time instant, their prediction modes are closely linked. Furthermore, the prediction information of a CU at the depth level X is strongly related to that of its parent CU at the depth level X-1 in the quadtree coding structure of HEVC since two corresponding CUs from two neighboring depth levels share similar video characteristics. The proposed algorithm jointly exploits the inter-view coding mode correlation, the inter-component (texture-depth) correlation and the inter-level correlation in the quadtree structure of 3D-HEVC. Experimental results show that our algorithm saves 66% encoder runtime on average with only a 0.2% BD-Rate increase on coded views and 1.3% BD-Rate increase on synthesized views. . 2015. A 3D-HEVC fast mode decision algorithm for real-time applications.

show abstract

High Efficiency 3D Video Coding Using New Tools Based on View Synthesis

Cited by 43 publications

References 16 publications

Adaptive delivery of immersive 3D multi-view video over the Internet

Adaptive delivery of immersive 3D multi-view video over the Internet

No-reference quality metric for HEVC compression distortion estimation in depth maps

A 3D-HEVC Fast Mode Decision Algorithm for Real-Time Applications

Contact Info

Product

Resources

About