Calculation of an aggregated level of interest function for recorded events

ABSTRACT

As recording technology becomes pervasive there is a dramatic increase in the number of events being recorded in multimedia. The challenge now facing users is to quickly view the recorded content in the least amount of time. While there are several methods to analyze video based on ambient noise, scene changes, slide transitions, etc..., these techniques merely find features in the recording, they do not reveal which sections are important.

This paper presents a method to calculate a Level Of Interest (LOI) function for an event by aggregating bookmarks made by the event attendees. The findings of a preliminary evaluation of the LOI function are also presented along with the design of an LOI based video browser.

REFERENCES

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INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
          Subjects: Indexing methods

Additional 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: User-centered design; Prototyping

General Terms:
Algorithms, Design, Experimentation, Measurement

Keywords:
bookmark aggregation, level of interest, multimedia, skimming, video browsing, visualization