Cloud gaming is an ideal solution to provide the desired GPU rendering for the Virtual Reality (VR) gaming while reducing the requirements for the weight, price, and capabilities of the head-mounted display. However, transmitting the highresolution video requires a large amount of network bandwidth. In this paper, we present a cloud VR gaming system that significantly improves the coding efficiency by using a proposed Object-Aware Video Encoding (OAVE). Different from the video service, the game engine can offer information about the objects in the game scene. By combining this information and the eye-tracking data, the encoder compressed the rendered video in an object-dependent way that sets the quantization parameter according to the object of the user's gaze. Through the subjective experiment conducted on the prototype of the system, above 40% to 47% bandwidth saving can be achieved compared with the conventional VR gaming system without the proposed optimization.
When user turns head in an interactive Cloud VR service, such as the Cloud VR games, the black edge artifact often appears at the boundary of the viewport due to the inevitable latency, which significantly affects the user experience. In this paper, we focused on the interactive Cloud VR gaming services and investigated the influence of the black edge artifact on the user experience. The appearance of the black edge artifact during the playing period was regarded as a series of black edge events. The user experience on a single black edge event was first evaluated combining the influential factors of the area ratio and duration of the black edge artifact. Then, a pooling strategy was proposed to evaluate the user's overall experience. Experimental results showed that the proposed model can accurately predict the user experience that influenced by the black edge artifact for the Cloud VR services. This work can be served as a guideline for service providers and network operators to improve their services.
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