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 "toward storytelling from visual lifelogging an overview"):
  Abstract: Visual lifelogging consists of acquiring images that capture the daily experiences of the user by wearing a camera over a long period of time. The pictures taken offer considerable potential for knowledge mining concerning how people live their lives; hence, they open up new opportunities for many potential applications in fields including healthcare, security, leisure, and the quantified self. However, automatically building a story from a huge collection of unstructured egocentric data presents major challenges. This paper provides a thorough review of advances made so far in egocentric data analysis and, in view of the current state of the art, indicates new lines of research to move us toward storytelling from visual lifelogging.

Includes members:
  Member "r clustering for egocentric video segmentation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "learning event representations in image sequences by dynamic graph embedding")
  Member "semantic summarization of egocentric photo stream events":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "smartphone picture organization a hierarchical approach")
  Member "multi face tracking by extended bag of tracklets in egocentric photo streams":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "egoreid dataset person re identification in videos acquired by mobile devices with first person point of view")
  Member "f formation detection individuating free standing conversational groups in images":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "towards social artificial intelligence nonverbal social signal prediction in a triadic interaction")
  Member "a survey on recent advances of computer vision algorithms for egocentric video":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "egocentric hand detection via dynamic region growing")
  Member "leveraging context to support automated food recognition in restaurants":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "foodx 251 a dataset for fine grained food classification")
  Member "predicting daily activities from egocentric images using deep learning":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "batch based activity recognition from egocentric photo streams revisited")
  Member "sequence to sequence video to text":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "multi modal dense video captioning")

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.CV(Computer Vision and Pattern Recognition)