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      • Dept. of Computer Engineering - Master's degree
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      •   BUIR Home
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      • Bilkent Theses
      • Theses - Department of Computer Engineering
      • Dept. of Computer Engineering - Master's degree
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      Automatic detection of salient objects for a video database system

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      Author
      Sevilmiş, Tarkan
      Advisor
      Güdükbay, Uğur
      Date
      2005
      Publisher
      Bilkent University
      Language
      English
      Type
      Thesis
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      Abstract
      Recently, the increase in the amount of multimedia data has unleashed the development of storage techniques. Multimedia databases is one of the most popular of these techniques because of its scalability and ability to be queried by the media features. One downside of these databases is the necessity for processing of the media for feature extraction prior to storage and querying. Ever growing pile of media makes this processing harder to be completed manually. This is the case with BilVideo Video Database System, as well. Improvements on computer vision techniques for object detection and tracking have made automation of this tedious manual task possible. In this thesis, we propose a tool for the automatic detection of objects of interest and deriving spatio-temporal relations between them in video frames. The proposed framework covers the scalable architecture for video processing and the stages for cut detection, object detection and tracking. We use color histograms for cut detection. Based on detected shots, the system detects salient objects in the scene, by making use of color regions and camera focus estimation. Then, the detected objects are tracked based on their location, shape and estimated speed.
      Keywords
      Video Databases
      Video Object Detection
      Object Tracking
      Camera Focus Estimation
      Permalink
      http://hdl.handle.net/11693/29751
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      • Dept. of Computer Engineering - Master's degree 511
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