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      • Faculty of Engineering
      • Department of Computer Engineering
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      Automatic detection of salient objects and spatial relations in videos for a video database system

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      Author
      Sevilmiş, T.
      Baştan M.
      Güdükbay, Uğur
      Ulusoy, Özgür
      Date
      2008-10
      Source Title
      Image and Vision Computing
      Print ISSN
      0262-8856
      Publisher
      Elsevier BV
      Volume
      26
      Issue
      10
      Pages
      1384 - 1396
      Language
      English
      Type
      Article
      Item Usage Stats
      164
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      116
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      Abstract
      Multimedia databases have gained popularity due to rapidly growing quantities of multimedia data and the need to perform efficient indexing, retrieval and analysis of this data. One downside of multimedia databases is the necessity to process the data for feature extraction and labeling prior to storage and querying. Huge amount of data makes it impossible to complete this task manually. We propose a tool for the automatic detection and tracking of salient objects, and derivation of spatio-temporal relations between them in video. Our system aims to reduce the work for manual selection and labeling of objects significantly by detecting and tracking the salient objects, and hence, requiring to enter the label for each object only once within each shot instead of specifying the labels for each object in every frame they appear. This is also required as a first step in a fully-automatic video database management system in which the labeling should also be done automatically. The proposed framework covers a scalable architecture for video processing and stages of shot boundary detection, salient object detection and tracking, and knowledge-base construction for effective spatio-temporal object querying. © 2008 Elsevier B.V. All rights reserved.
      Keywords
      Camera focus estimation
      Knowledge-base construction
      Multimedia databases
      Object labeling
      Salient object detection and tracking
      Administrative data processing
      Data storage equipment
      Feature extraction
      Management information systems
      Video recording
      Video signal processing
      Automatic detection
      Spatio-temporal queries
      Spatio-temporal relations
      Video database management
      Video databases
      Video processing
      Database systems
      Cameras
      Data processing
      Data storage
      Extraction
      Indexing
      Information retrieval
      Information systems
      Labels
      Management
      Storage
      Permalink
      http://hdl.handle.net/11693/22998
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/j.imavis.2008.01.001
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      • Department of Computer Engineering 1409
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