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Video Summarization via Transferrable Structured Learning. Presenter: PENG, Peng 2011-3-29. Outline. Paper present Transfer learning in Social Network. Video Summarization. What is Video Summarization?. Video Summarization. Video Summarization. Assumption in this paper:

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Presentation Transcript
  • Paper present
  • Transfer learning in Social Network
video summarization
Video Summarization
  • What is Video Summarization?
video summarization2
Video Summarization
  • Assumption in this paper:
    • Each shot is accompanied by certain textual information
    • Textual information and video information are highly correlated (e.g., TV series)
video summarization10
Video Summarization
  • Problem:
    • How to select some representative shots beforehand?
    • How to know the ground truth?
transfer learning
Transfer Learning
  • Ds(X, P(X)), Ts(Y, P(Y|X))
  • Dt(X, P(X)), Tt(Y, P(Y|X))
  • In social network, what can be the same and what can be different?
transfer learning in social networks
Transfer Learning in Social Networks
  • Large amounts of unlabeled data
  • How to avoid negative transfer?
topics in social networks
Topics in Social Networks
  • Community Detection and Graph-based Clustering
  • Information Influence, Diffusion and Outbreak Detection
  • Link Prediction and Collaborative Filtering
  • Social Tagging and Learning
  • Collective intelligence and Crowd-sourcing
transfer learning1
Transfer Learning
  • What is the sufficient and necessary condition for positive transfer?
  • How to keep consistency between the source data and the target data?
  • How to guarantee the correctness of the transferred data in the target tasks?
  • What is the way to measure the relatedness between two different tasks?