SpeechSkimmer: a system for interactively skimming recorded speech
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on speech as data
An intelligent media browser using automatic multimodal analysis
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Auto-summarization of audio-video presentations
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
A semantic framework for meeting data retrieval
CARPE '05 Proceedings of the 2nd ACM workshop on Continuous archival and retrieval of personal experiences
Photo LOI: browsing multi-user photo collections
Proceedings of the 13th annual ACM international conference on Multimedia
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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.