Using MPEG DASH SRD for zoomable and navigable video

D'Acunto, Lucia; Berg, Jorrit van den; Thomas, Emmanuel; Niamut, Omar

doi:10.1145/2910017.2910634

Cited by 39 publications

(21 citation statements)

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“…Le Feuvre et al in their work [4] explored spatial access of 2D video contents within the context of MPEG-DASH, and discussed how the tiling feature of SRD extension can enable that. In another work [5], D'Acunto et al explored the use of MPEG-DASH SRD to partition a video into subparts to provide a zooming feature inside 2D video contents.…”

Section: A Dynamic Adaptive Streamingmentioning

confidence: 99%

Adaptive 360 VR Video Streaming: Divide and Conquer

Hosseini

Swaminathan

2016

2016 IEEE International Symposium on Multimedia (ISM)

253

133

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While traditional multimedia applications such as games and videos are still popular, there has been a significant interest in the recent years towards new 3D media such as 3D immersion and Virtual Reality (VR) applications, especially 360 VR videos. 360 VR video is an immersive spherical video where the user can look around during playback. Unfortunately, 360 VR videos are extremely bandwidth intensive, and therefore are difficult to stream at acceptable quality levels.In this paper, we propose an adaptive bandwidth-efficient 360 VR video streaming system using a divide and conquer approach. We propose a dynamic view-aware adaptation technique to tackle the huge bandwidth demands of 360 VR video streaming. We spatially divide the videos into multiple tiles while encoding and packaging, use MPEG-DASH SRD to describe the spatial relationship of tiles in the 360-degree space, and prioritize the tiles in the Field of View (FoV). In order to describe such tiled representations, we extend MPEG-DASH SRD to the 3D space of 360 VR videos. We spatially partition the underlying 3D mesh, and construct an efficient 3D geometry mesh called hexaface sphere to optimally represent a tiled 360 VR video in the 3D space. Our initial evaluation results report up to 72% bandwidth savings on 360 VR video streaming with minor negative quality impacts compared to the baseline scenario when no adaptations is applied.

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Section: A Dynamic Adaptive Streamingmentioning

confidence: 99%

Adaptive 360 VR Video Streaming: Divide and Conquer

Hosseini

Swaminathan

2016

2016 IEEE International Symposium on Multimedia (ISM)

253

133

View full text Add to dashboard Cite

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“…D'Acunto et al propose an MPEG-DASH SRD client to optimize the delivery of zoomable videos, which are a ected by the same bandwidth problem as 360°videos [4]. The video is spatially divided in tiles: the low resolution tile, corresponding to the whole zoomable video, is always downloaded to avoid a black screen in case of viewpoint changes.…”

Section: Related Work 21 360°video Streamingmentioning

confidence: 99%

An HTTP/2-Based Adaptive Streaming Framework for 360° Virtual Reality Videos

Petrangeli

Swaminathan

Hosseini

et al. 2017

Proceedings of the 25th ACM International Conference on Multimedia

138

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Virtual Reality (VR) devices are becoming accessible to a large public, which is going to increase the demand for 360°VR videos. VR videos are often characterized by a poor quality of experience, due to the high bandwidth required to stream the 360°video. To overcome this issue, we spatially divide the VR video into tiles, so that each temporal segment is composed of several spatial tiles. Only the tiles belonging to the viewport, the region of the video watched by the user, are streamed at the highest quality. The other tiles are instead streamed at a lower quality. We also propose an algorithm to predict the future viewport position and minimize quality transitions during viewport changes. The video is delivered using the server push feature of the HTTP/2 protocol. Instead of retrieving each tile individually, the client issues a single push request to the server, so that all the required tiles are automatically pushed back to back. This approach allows to increase the achieved throughput, especially in mobile, high RTT networks. In this paper, we detail the proposed framework and present a prototype developed to test its performance using real-world 4G bandwidth traces. Particularly, our approach can save bandwidth up to 35% without severely impacting the quality viewed by the user, when compared to a traditional non-tiled VR streaming solution. Moreover, in high RTT conditions, our HTTP/2 approach can reach 3 times the throughput of tiled streaming over HTTP/1.1, and consistently reduce freeze time. These results represent a major improvement for the e cient delivery of 360°VR videos over the Internet.

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“…However, wide baseline is essential to accommodate multiple freely moving users with no additional head-mounted devices or additional tracking technologies. This also means that at any given time only a portion of the FOV is being observed by the user(s) and mechanisms analogous to the tilebased Spatial Relationship Description (SRD) streaming [22] for navigable video and virtual reality could be used in the future to reduce the transmitted light field content, with the drawback that the user(s) would have to be tracked within the FOV.…”

Section: Perceived Quality Of Light Field Visualizationmentioning

confidence: 99%

Evaluation of the Concept of Dynamic Adaptive Streaming of Light Field Video

Kara

Cserkaszky

Martini

et al. 2018

IEEE Trans. on Broadcast.

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Abstract-Light field visualization has progressed and developed significantly in the past years. At the time of this paper, light field displays are utilized in the industry and they are commercially available as well. Although their appearance on the consumer market is approaching, many potential applications of light field technology have not yet been addressed, such as video streaming. In this paper, we present our research on the dynamic adaptive streaming of light field video. In order to evaluate the presented concept of quality switching, we carried out a series of subjective tests, where test participants were shown light field videos containing stallings and switches in spatial and angular resolution.

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Using MPEG DASH SRD for zoomable and navigable video

Cited by 39 publications

References 0 publications

Adaptive 360 VR Video Streaming: Divide and Conquer

Adaptive 360 VR Video Streaming: Divide and Conquer

An HTTP/2-Based Adaptive Streaming Framework for 360° Virtual Reality Videos

Evaluation of the Concept of Dynamic Adaptive Streaming of Light Field Video

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