Content-based Lecture Video Indexing

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Content-based Lecture
Video Indexing
Martin Halvorsen
Content-based Lecture Video
Indexing
Content
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Introduction
Research Questions
Background
Proposed System
Implementations
Conclusions
Content-based Lecture Video
Indexing
Introduction
Content-based Lecture Video
Indexing
Introduction
• Blackboard presentations considered
as essential and indispensable
• Hard to navigate through traditional
videos
• Lack of expertise and time consuming
Content-based Lecture Video
Indexing
Research questions
Content-based Lecture Video
Indexing
Research questions
• Q1: How can foreground/background
segmentation in a lecture video
work for different writing-boards?
Content-based Lecture Video
Indexing
Research questions
• Q2: How to automatically extract
meta-data from lecture videos?
Content-based Lecture Video
Indexing
Research questions
• Q3: How to use such meta-data for
indexing and searching of lecture
videos?
Content-based Lecture Video
Indexing
Background
Content-based Lecture Video
Indexing
Background
• Tracking, detection and separation
algortihms
• Motion estimation, background
models, statistical estimated models
Content-based Lecture Video
Indexing
Background
• Eirik Grythe – segmentation and text
detection
• Synne Repp – simulated indexing alg.
Content-based Lecture Video
Indexing
Proposed System
Content-based Lecture Video
Indexing
Proposed system
• Superior blockdiagram of the
proposed system
F/B Segmentation
Blackboard extraction
Metadata Extraction
Content-based Lecture Video
Indexing
Index Generation
Teacher segmentation
Content-based Lecture Video
Indexing
Teacher segmentation
• Motion estimation - SAD
Content-based Lecture Video
Indexing
Teacher segmentation
• Morphological operations to close
holes in the detection
Content-based Lecture Video
Indexing
Teacher segmentation
• Using motion history to improve the
segmentation algorithm
Content-based Lecture Video
Indexing
Teacher segmentation
• Replace blocks that has motion in it
Content-based Lecture Video
Indexing
Teacher segmentation
• Demonstration
Content-based Lecture Video
Indexing
Meta-data extraction
Content-based Lecture Video
Indexing
Meta-data extraction
• What is meta-data?
• How to extract blackboard content?
• Statistics
Content-based Lecture Video
Indexing
Meta-data extraction
• Demonstration
Content-based Lecture Video
Indexing
Indexing
Content-based Lecture Video
Indexing
Indexing
• When to extract an image?
• Search a lecture video using
extracted features
Content-based Lecture Video
Indexing
Conclusions
Content-based Lecture Video
Indexing
Conclusions
• Adaptive segmentation possible by using motion estimation
• Extraction of content is possible using image difference
• Meta-data is possible to extract using a foreground model
to compare against new content
• Statistics of extracted meta-data can be used to
automatically index a lecture video
Content-based Lecture Video
Indexing
The end
Content-based Lecture Video
Indexing
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