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360 Motion Concept

 

360-degree videos leverage users' head movements to navigate through immersive experiences, ranging from urban learning environments to pressing global issues such as the Syrian refugee crisis, with machine learning technologies being employed to predict these movements and optimize video streaming.

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Efficiency improvements in streaming these experiences are achieved through the use of predictive technologies such as intelligent cinematographic techniques, enabling a seamless user experience across both standard and virtual reality platforms. In order to accommodate this immersive viewing experience, computational resources are allocated for quality-driven point cloud video streaming, and standard video compression technologies like HEVC are employed for encoding. This enables users to have a full 360-degree field of view and the freedom to explore the environment in any direction. By combining the power of virtual reality and augmented reality, 360-degree videos provide users with an engaging and interactive viewing experience.

However, it is important to note that 360-degree videos are currently limited to two degrees of freedom, restricting the full potential of immersive viewing. To further enhance the immersive experience, advancements in technology are being made to increase the degrees of freedom available to users.A wide breadth of applications can benefit from this technology, with users in education, entertainment, and tourism enjoying highly detailed and immersive experiences through convenient virtual tags attached to physical targets(Mi & Yang, 2019).

In conclusion, 360-degree motion is a concept that allows users to engage in immersive experiences by exploring environments in any direction. In spite of these advancements, there remains a significant gap between the bandwidth requirements of 360-degree video streaming and the capacity of traditional wireless technologies. As demand for interactive applications utilizing immersive multimedia continues to increase, there is a need for more efficient streaming of 360-degree videos over bandwidth-constrained networks

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Therefore, further research and technological advancements are needed to bridge this gap and optimize the streaming of 360-degree videos, particularly over networks with limited bandwidth capacity.

One of the challenges, however, remains managing the high bandwidth requirements of 360-degree video streaming over typical wireless networks, creating a need for smarter streaming methods like viewport adaptive streaming(Nguyen et al., 2019).

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