calculation of an aggregated level of interest function for recorded events
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.
level of interest functional records event technologies pervasive multimedia timing challenge users contention method video noise change transit feature paper bookmark evaluation design browser bookmark aggregation skimming visualization video browsing