Title: MovieBase: a movie database for event detection and behavioral analysis
Authors: Tat-Seng Chua, Sheng Tang, Remi Trichet, Hung Khoon Tan, Yan Song
Link: http://dl.acm.org/citation.cfm?id=1631135.1631143
The University of Singapore team attempted to improve methods of cataloging and organizing various video clips. Their sample was based off of 69,129 "shots" coming from both feature films and YouTube clips. Each of the shots were hand tagged into 7 different audio and 11 different visual categories.
Their system offered various different ways of analyzing clips. Based off these analytical factors, the researchers were able to glean various statistics about the differences between feature films and shots from Youtube videos. While the statistics proved useful, the researchers lamented the fact that they had to tag each individual shot by hand. They suggested further research into automated scene tagging as well as social tagging for sites such as Youtube.
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