human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "spatiotemporal rate adaptive tiled scheme for 360 sports events"
  Abstract: The recent rise of interest in Virtual Reality (VR) came with the availability of commodity commercial VR products, such as the Head Mounted Displays (HMD) created by Oculus and other vendors. One of the main applications of virtual reality that has been recently adopted is streaming sports events. For instance, the last olympics held in Rio De Janeiro was streamed over the Internet for users to view on VR headsets or using 360 video players. A big challenge for streaming VR sports events is the users limited bandwidth and the amount of data required to transmit 360 videos. While 360 video demands high bandwidth, at any time instant users are only viewing a small portion of the video according to the HMD field of view (FOV). Many approaches have been proposed in the literature such as proposing new representations (e.g. pyramid and offset-cubemap) and tiling the video and streaming the tiles currently being viewed. In this paper, we propose a tiled streaming framework, where we provide a degrading quality model similar to the state-of-the-art offset-cubemap while minimizing its storage requirements at the server side. We conduct objective studies showing the effectiveness of our approach providing smooth degradation of quality from the user FOV to the back of the 360 space. In addition, we conduct subjective studies showing that users tend to prefer our proposed scheme over offset-cubemap in low bandwidth connections, and they don't feel difference for higher bandwidth connections. That is, we achieve better perceived quality with huge storage savings up to 670%.

Connected through hyperedge HE-1 (induced by source paper "optimal multi quality multicast for 360 virtual reality video"):
  with members:
    - "optimal multicast of tiled 360 vr video"
    - "a rate adaptation algorithm for tile based 360 degree video streaming"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.MM(Multimedia)