human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "qoe oriented resource allocation for 360 degree video transmission over heterogeneous networks"):
  Abstract: Immersive media streaming, especially virtual reality (VR)/360-degree video streaming which is very bandwidth demanding, has become more and more popular due to the rapid growth of the multimedia and networking deployments. To better explore the usage of resource and achieve better quality of experience (QoE) perceived by users, this paper develops an application-layer scheme to jointly exploit the available bandwidth from the LTE and Wi-Fi networks in 360-degree video streaming. This newly proposed scheme and the corresponding solution algorithms utilize the saliency of video, prediction of users' view and the status information of users to obtain an optimal association of the users with different Wi-Fi access points (APs) for maximizing the system's utility. Besides, a novel buffer strategy is proposed to mitigate the influence of short-time prediction problem for transmitting 360-degree videos in time-varying networks. The promising performance and low complexity of the proposed scheme and algorithms are validated in simulations with various 360-degree videos.

Includes members:
  Member "automatic salient object detection for panoramic images using region growing and fixation prediction model":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "exploiting the value of the center dark channel prior for salient object detection")
  Member "salnet360 saliency maps for omni directional images with cnn":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "reinforcement learning for the manipulation of eye tracking data")
  Member "a rate adaptation algorithm for tile based 360 degree video streaming":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "qoe driven coupled uplink and downlink rate adaptation for 360 degree video live streaming")
  Member "how do people explore virtual environments":
    also connected through other hyperedges:
      (none)
  Member "bola near optimal bitrate adaptation for online videos":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "understanding video streaming algorithms in the wild")
  Member "adaptive 360 vr video streaming divide and conquer":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "prediction communication and computing duration optimization for vr video streaming")
  Member "streaming video over http with consistent quality":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "qoe based low delay live streaming using throughput predictions")
  Member "non cooperative feedback rate control game for channel state information in wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "variable earns profit improved adaptive channel estimation using sparse vss nlms algorithms")

Question: Please tell me which class the source paper 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)