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 "perceptually driven video coding with the daala video codec"):
  Abstract: The Daala project is a royalty-free video codec that attempts to compete with the best patent-encumbered#N#codecs. Part of our strategy is to replace core tools of traditional video codecs with alternative approaches,#N#many of them designed to take perceptual aspects into account, rather than optimizing for simple metrics like#N#PSNR. This paper documents some of our experiences with these tools, which ones worked and which did not.#N#We evaluate which tools are easy to integrate into a more traditional codec design, and show results in the#N#context of the codec being developed by the Alliance for Open Media.

Includes members:
  Member "daala building a next generation video codec from unconventional technology":
    also connected through other hyperedges:
      (none)
  Member "high quality low delay music coding in the opus codec":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "improving networked music performance systems using application network collaboration")
  Member "the daala directional deringing filter":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "daala building a next generation video codec from unconventional technology")
  Member "predicting chroma from luma with frequency domain intra prediction":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "daala building a next generation video codec from unconventional technology")
  Member "perceptual vector quantization for video coding":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "daala building a next generation video codec from unconventional technology")

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)