Interactive visualization of video metadata

ABSTRACT

Much current research on digital libraries focuses on named entity extraction and transformation into structured information. Examples include entities like events, people, and places, and attributes like birth date or latitude. This video demonstration illustrates the potential for finding relationships among entities extracted from 50,000 news segments from CMUs Informedia Digital Video Library. A visual query language is used to specify relationships among entities. Data populate the query structure, which becomes an interface for exploration that gives continuous feedback in the form of visualizations of summary statistics. The target user is a data analyst familiar with the domain from which the entities come, but not a computer scientist.

REFERENCES

• 1: Howard D. Wactlar , Takeo Kanade , Michael A. Smith , Scott M. Stevens, Intelligent Access to Digital Video: Informedia Project, Computer, v.29 n.5, p.46-52, May 1996 [doi>10.1109/2.493456]
• 2: Mark Derthick , John Kolojejchick , Steven F. Roth, An interactive visual query environment for exploring data, Proceedings of the 10th annual ACM symposium on User interface software and technology, p.189-198, October 14-17, 1997, Banff, Alberta, Canada [doi>10.1145/263407.263545]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)
          Subjects: Graphical user interfaces (GUI)

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.1 Multimedia Information Systems
          Subjects: Video (e.g., tape, disk, DVI)
      H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)
          Subjects: Interaction styles (e.g., commands, menus, forms, direct manipulation)

General Terms:
Algorithms, Human Factors

Keywords:
information visualization