This paper investigates the tile quality selection problem in multi-quality tiled 360° video streaming. We consider 360° video quality assessment (VQA) metrics, with the objective of maximizing the quality of the user’s viewport in bandwidth-constrained communication. We formulate the problem as a multiple-choice knapsack problem (MCKP) and apply a greedy algorithm to solve it. The simulation results validate the advantages of our proposed method, demonstrated as an improvement in the viewport’s weighted-to-spherical peak signal-to-noise ratio (WS-PSNR).

Moatasim Mahmoud; Stamatia Rizou; Andreas S. Panayides; Pavlos I. Lazaridis; Nikolaos V. Kantartzis; George K. Karagiannidis

2024 Advanced Topics on Measurement and Simulation (ATOMS)

https://ieeexplore.ieee.org/abstract/document/10921622

Greedy algorithms; Atomic measurements; PSNR; Simulation; Decision making; Virtual reality; Streaming media; Atoms; Quality assessment; Video recording