Adaptation of the 3D-HEVC coding tools to arbitrary locations of cameras

Samelak, Jarosław; Stankowski, Jakub; Domański, Marek

doi:10.1109/icses.2016.7593831

Cited by 7 publications

(2 citation statements)

References 6 publications

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“…Recently (Samelak et al 2017), it was shown that the efficiency of the inter-view prediction is virtually the same for Multiview HEVC and for HEVC augmented by Intra Block Copy tool (originally designed for computer-generated content) using the same resolution of translation/displacement vectors. It is worth to add that the latter codec has simpler single-loop structure and is nearly compliant with standard HEVC Screen Content Codec.…”

Section: Multiview Video Codingmentioning

confidence: 99%

Emerging Imaging Technologies: Trends and Challenges

Domański

Grajek

Conti

et al. 2018

3D Visual Content Creation, Coding and Delivery

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This chapter addresses image and video technologies related to 3D immersive multimedia delivery systems with special emphasis on the most promising digital formats. Besides recent research results and technical challenges associated with multiview image and image, video and lightfield acquisition and processing, the chapter also presents relevant results from international standardization activities in the scope of ISO, IEC and ITU. Standard solutions to encode multiview image and video content and ongoing research is addressed, along with novel solutions to enable further developments in the emerging technologies dealing with capture and coding for lightfield content and Free Viewpoint Television.

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Section: Multiview Video Codingmentioning

confidence: 99%

Emerging Imaging Technologies: Trends and Challenges

Domański

Grajek

Conti

et al. 2018

3D Visual Content Creation, Coding and Delivery

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“…At the time of 3D-HEVC development, i.e., around 2011-2013, such applications were considered as important, e.g., with respect to the autostereoscopic display technology. Therefore, many tools in 3D-HEVC have been developed especially for linearly arranged views, and thus do not provide any compression gain for other types of multiview content [Sam16,Sta15].…”

Section: Introductionmentioning

confidence: 99%

Estimation of the Optimum Depth Quantization Parameter for a Given Bitrate of Multiview Video Plus Depth in 3D-HEVC Coding

Al-Obaidi¹,

Grajek²

2020

Computer Science Research Notes

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One of the most popular data formats to represent natural immersive visual data is the MVD (Multiview Video plus Depth) format. The representation of a three-dimensional scene requires a huge amount of data in the form of a dense set of views accompanied by high-quality depth maps. All of this data need to be transmitted over the network to a viewer. Therefore, a question arises, how to allocate the bitrate between views and depth maps to obtain the maximal quality for a given bit budget. In the paper, a simple model for optimum bitrate allocation between color and depth data in 3D-HEVC coding is proposed. The provided model for quantization parameters allows better bitrate division between color and depth data, which leads to a significant (23-35%) bitrate reduction of the total bitrate of the multiview stream. At the same time, it preserves the same quality of synthesized virtual views in comparison to the common test condition (CTC) recommendation, which is considered as a wellestablished reference encoder configuration.

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