Table of Contents
Title Slide
Informedia Digital Video Library Project
Informedia Library Creation
Informedia Library Exploration
Techniques Underlying Video Metadata
Goal: Automatic Video Characterization
Images containing similar colors
Images containing similar shapes
Images containing similar content
Variety of Similarity
Camera and Motion Detection
Text and Face Detection
Text Extraction and Alignment
Deriving 'Matching Shots'
User Testing of Video Library, Round 1
Early Lessons Learned
Empirical Study Concerning Thumbnail Images
Text-based Result List
'Naïve' Thumbnail Result List (Uses First Shot Image)
Query-based Thumbnail Result List
Query-based Thumbnail Selection Process
Empirical Study Summary*
'Skim Video': Extraction of Significant Content
Skims: Preliminary Findings
Empirical Study: Skims
Skim Study Results
Match Information
Enhancing Match Information
Discussed Multimedia Surrogates, i.e., Abstractions based on Library Metadata
Range of Multimedia Surrogates
Informedia Focus
Continually Growing Video Library
Evaluating Multimedia Surrogates
Other Lessons Learned, Later Phases
Modification Requests
Excerpt from 'Lessons Learned*' paper
Final Thoughts and Qualifications
Credits
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Author: Mike Christel
Email: christel@cs.cmu.edu
Home Page: http://www.cs.cmu.edu/~christel
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