Open Access

ARTICLE

Bit Rate Reduction in Cloud Gaming Using Object Detection Technique

Daniyal Baig¹, Tahir Alyas¹, Muhammad Hamid², Muhammad Saleem³, Saadia Malik⁴, Nadia Tabassum^5,*, Natash Ali Mian⁶

1 Department of Computer Science, Lahore Garrison University, Lahore, 54000, Pakistan
2 Department of Statistics and Computer Science, University of Veterinary and Animal Sciences, Lahore, 54000, Pakistan
3 Department of Industrial Engineering, Faculty of Engineering, Rabigh, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
4 Department of Information Systems, Faculty of Computing and Information Technology-Rabigh, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
5 Department of Computer Science, Virtual University of Pakistan, Lahore, 54000, Pakistan
6 School of Computer and Information Technology, Beaconhouse National University Lahore, 53700, Pakistan

* Corresponding Author: Nadia Tabassum. Email:

Computers, Materials & Continua 2021, 68(3), 3653-3669. https://doi.org/10.32604/cmc.2021.017948

Received 15 January 2021; Accepted 18 March 2021; Issue published 06 May 2021

Abstract

The past two decades witnessed a broad-increase in web technology and on-line gaming. Enhancing the broadband confinements is viewed as one of the most significant variables that prompted new gaming technology. The immense utilization of web applications and games additionally prompted growth in the handled devices and moving the limited gaming experience from user devices to online cloud servers. As internet capabilities are enhanced new ways of gaming are being used to improve the gaming experience. In cloud-based video gaming, game engines are hosted in cloud gaming data centers, and compressed gaming scenes are rendered to the players over the internet with updated controls. In such systems, the task of transferring games and video compression imposes huge computational complexity is required on cloud servers. The basic problems in cloud gaming in particular are high encoding time, latency, and low frame rates which require a new methodology for a better solution. To improve the bandwidth issue in cloud games, the compression of video sequences requires an alternative mechanism to improve gaming adaption without input delay. In this paper, the proposed improved methodology is used for automatic unnecessary scene detection, scene removing and bit rate reduction using an adaptive algorithm for object detection in a game scene. As a result, simulations showed without much impact on the players’ quality experience, the selective object encoding method and object adaption technique decrease the network latency issue, reduce the game streaming bitrate at a remarkable scale on different games. The proposed algorithm was evaluated for three video game scenes. In this paper, achieved 14.6% decrease in encoding and 45.6% decrease in bit rate for the first video game scene.

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