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Multimedia Information Retrieval and Multimedia Data Mining

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Multimedia Information Retrieval and Multimedia Data Mining Chengcui Zhang Assistant Professor Dept. of Computer and Information Science University of Alabama at ... – PowerPoint PPT presentation

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Title: Multimedia Information Retrieval and Multimedia Data Mining


1
Multimedia Information Retrieval and Multimedia
Data Mining
  • Chengcui Zhang
  • Assistant Professor
  • Dept. of Computer and Information Science
  • University of Alabama at Birmingham

2
General Content-Based Image Retrieval (CBIR)
3
Object-Based Image Retrieval
  • Example
  • Query by two objects
  • Techniques used
  • Image segmentation
  • Neural network
  • Multiple instance learning

4
Research Issues
  • Multiple object retrieval for image databases
  • Learning of composite model
  • Information fusion
  • Apply the developed techniques to other
    applications such as drug activity discovery,
    pattern recognition for medical image analysis,
    etc.

5
Video Data Mining
  • Example
  • Locate the interesting events (goals, corner
    kicks, etc.) in a large amount of raw,
    unprocessed soccer videos
  • Facilitate automatic annotation and indexing of
    the high-level structures of soccer videos

Soccer videos


Corner kick event
Goal event
6
Research Issues
  • Video event mining
  • Detect other types of soccer events like free
    kicks, referees, and fouls, etc.
  • Discover the underlying associations among
    different events/subevents
  • Develop a scalable soccer video database system
    and a flexible user query interface
  • Apply to other types of videos (TV news,
    Basketball, etc.)

7
A Soccer Video Retrieval System Using Temporal
Relationships
8
Video Surveillance for Intelligent Transportation
Systems (ITS)
Frame 132
Frame 138
Frame 142
9
Video Surveillance for Intelligent Transportation
Systems (ITS)
  • Vehicle tracking sequence

10
(No Transcript)
11
Research Issues
  • Handle vehicle object overlapping
  • Vehicle classification (car, SUV, truck, etc.)
  • Spatio-temporal modeling of vehicle trajectories
  • to enable efficient query of traffic surveillance
    data
  • and to support modeling and analysis of
    behavior-based traffic phenomena such as
    car-truck interaction.

12
Other Research Projects
  • Microarray image analysis
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