Volumetric video – acquisition, interaction, streaming and rendering

Eisert, Peter; Schreer, Oliver; Feldmann, Ingo; Hellge, Cornelius; Hilsmann, Anna

doi:10.1016/b978-0-32-391755-1.00017-1

Cited by 3 publications

(2 citation statements)

References 33 publications

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“…The primary goal of this technology is to deliver a heightened level of realism and immersion in the viewing experience. It is frequently integrated with other technologies, including VR or AR [73]. In vehicular networks, volumetric video can be leveraged for remote healthcare applications or engagement in scenarios requiring rich 3D information and interactivity, such as remote diagnostics and maintenance within the vehicle.…”

Section: Volumetric Videomentioning

confidence: 99%

A Survey on Video Streaming for Next-Generation Vehicular Networks

Huang,

Cheng,

Lien

et al. 2024

Electronics

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As assisted driving technology advances and vehicle entertainment systems rapidly develop, future vehicles will become mobile cinemas, where passengers can use various multimedia applications in the car. In recent years, the progress in multimedia technology has given rise to immersive video experiences. In addition to conventional 2D videos, 360° videos are gaining popularity, and volumetric videos, which can offer users a better immersive experience, have been discussed. However, these applications place high demands on network capabilities, leading to a dependence on next-generation wireless communication technology to address network bottlenecks. Therefore, this study provides an exhaustive overview of the latest advancements in video streaming over vehicular networks. First, we introduce related work and background knowledge, and provide an overview of recent developments in vehicular networking and video types. Next, we detail various video processing technologies, including the latest released standards. Detailed explanations are provided for network strategies and wireless communication technologies that can optimize video transmission in vehicular networks, paying special attention to the relevant literature regarding the current development of 6G technology that is applied to vehicle communication. Finally, we proposed future research directions and challenges. Building upon the technologies introduced in this paper and considering diverse applications, we suggest a suitable vehicular network architecture for next-generation video transmission.

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Section: Volumetric Videomentioning

confidence: 99%

A Survey on Video Streaming for Next-Generation Vehicular Networks

Huang,

Cheng,

Lien

et al. 2024

Electronics

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“…Three-dimensional (3D) video contains multiple views of the scene, which provides a viewer with a sense of depth [1][2][3][4]. 3D video formats with one video sequence are frame compatible (FC) and frame sequential (FS) formats, while formats with multiple video sequences are marked as multiview (MV) formats [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Fractal and Multifractal Characterization of 3D Video Signals

Zekovic

2023

Fractal Analysis - Applications and Updates

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Video signals are responsible for the largest amount of information in data storage and data transmission systems. Three-dimensional (3D) video formats are the largest in terms of the amount of data, and thus the required bit rate. For the efficient transmission of 3D video in communication systems, a detailed knowledge of the traffic characteristics of the format is necessary. In this research, characterization of 3D video signals is performed by using fractal and multifractal analyses. Codes for analyses are written in MATLAB and Python. Communication network traffic shows self-similar behavior with long-range dependence (LRD). Using visual methods and a rigorous statistical methods, it was shown that video sequences of 3D video formats have fractal self-similar properties with LRD and high Hurst parameter values. It is shown that investigated 3D video formats have multifractal structure by using the histogram method. The research included different 3D video formats, specifically with one video sequence (frame compatible, FC and frame sequential, FS) and with two or more video sequences (multiview, MV). Cases with different signal qualities defined by the quantization parameter, different types of frames, different groups of picture (GoP), and different broadcasting methods were taken into account and separately analyzed.

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