Paper Info
Title
A state-based game attention model for cloud gaming.
Abstract
One of the main promises of cloud gaming, an emerging and growing market in the gaming industry, is its lack of dependence on high-end hardware. To fulfill its goal of enabling anyone to play their favorite games whenever, wherever and on any device, it requires high bandwidth, which remains a major challenge. One solution is to model or predict the players' visual attention map and allocate bitrate accordingly, thereby reducing the bandwidth. The first step of this solution is to predict the players' visual attention maps, which is the objective of our work. In this paper, we demonstrate experimentally that the predicted visual attention maps can be further improved by incorporating game state. Furthermore, we propose a game attention model based on game states. To evaluate the model, we have prepared a 92 minute dataset of states of three games. The results indicate that incorporating game states into visual attention models improves the accuracy of the predicted attention maps by 17.4% on average.
Year
Venue
Keywords
2017
Annual Workshop on Network and System Support for Games
Cloud gaming,game state,visual attention,visual attention model
Field
DocType
ISSN
Visualization,Simulation,Computer science,Attention model,Bit rate,Bandwidth (signal processing),Visual attention,Cloud gaming,Multimedia,High bandwidth
Conference
2156-8146
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Ebrahim Babaei116435.89
Mahmoud Reza Hashemi213127.70
Shervin Shirmohammadi31066125.81