Storage optimization for 3D streaming systems

Abstract

Three dimensional (3D) content is becoming attractive in entertainment events such as soccer games and movies. Also, 3D displays are widespread at homes, offices, and theaters. Yet, 3D content may lack good 3D experience due to varying display technologies and sizes. In addition, 3D content providers may not be able to deliver their content to all potential subscribers, which leads to viewership reduction or dissatisfaction. In this work, we propose the design of a system for enhanced 3D content streaming. In order to support all 3D display technologies and sizes in the system, we design different 3D versions of the original videos that are optimized for various displays. Moreover, we propose a storage optimization algorithm that optimizes storage usage in our system depending on versions popularity as well as storage and processing requirements. The algorithm satisfies the limited processing resources, maximum delay, and request rate requirements. We implemented and deployed the proposed system on the cloud for live testing. We simulated the proposed algorithm to study its effect on the storage requirements in 3D streaming systems. The results of the simulations show that the algorithm can achieve storage gain up to 360x compared to storing all versions.

Anahita

“…For example, Baicheng et al [35] describe a 3D video streaming system, but their main focus is on the 3D media encoder and decoder. Whereas Diab et al [11] focus on optimizing the storage in 3D streaming systems. Pehlivan et al [26] propose a video streaming system that switches between 2D and 3D videos depending on the available bandwidth and display equipment.…”

“…The number of versions in the proposed 3D streaming system needs to be much larger than traditional 2D streaming systems. The classification of 3D displays presented in [11] suggests that more than 35 versions may be needed to accommodate current 3D displays. This is because, in addition to the variability of network bandwidth, clients requesting 3D videos use different displays in terms of size, depth rendering method, and the amount of depth that can be perceived.…”

“…Creating and storing all versions for all videos may waste storage and processing resources of the system, especially for videos with low popularity. A recent work [11] studied this problem and proposed an algorithm to store some versions while creating others on demand, based on video popularity, video size, and processing requirements to create each version. This algorithm, or similar ones, can be used in our system.…”

Source coding for transmission of reconstructed dynamic geometry: a rate-distortion-complexity analysis of different approaches

“…Key problems with the transmission of 3D Media include increased bandwidth usage [1], a myriad of different formats and representations [2] and a lack in understanding of the overall end-to-end user experience / achieved quality [1]. Based on previous work as presented in [3], we distinguish two broad categories of 3D Media representations.…”