human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups authors who co-authored the same paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "ICA-Based Image and Video Watermarking"):
  Abstract: With the development of computer science and information transmission, image and video have been applied more and more. Extraction of features match to human visual system and compact representation of images and videos are the key points in the field of image and video analysis. As an unsupervised learning method, Independent Component Analysis (ICA) has been used widely in image and video processing, because it is proved to match human visual system in image and video understanding. In this chapter, ICA model and FastICA algorithm are introduced firstly. And then several ICA-based image and video processing models are presented, and various independent features corresponding to these models are introduced. Finally, the similarity between the ICA- and watermarking-models is analyzed, and some representative ICA-based image and video watermarking algorithms are presented.

Includes members:
  Member "Multiresolution scene-based video watermarking using perceptual models":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Secure spread spectrum watermarking for multimedia")

Question: Please tell me which research area the co-authored paper (i.e., the source paper of the center hyperedge) belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science