• About
  • Policies
  • What is open access
  • Library
  • Contact
Advanced search
      View Item 
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Computer Engineering
      • View Item
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Computer Engineering
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      An MPEG-7 compatible video retrieval system with integrated support for complex multimodal queries

      Thumbnail
      View / Download
      913.6 Kb
      Author(s)
      Baştan, Muhammet
      Çam, Hayati
      Güdükbay, Uğur
      Ulusoy, Özgür
      Date
      2019
      Source Title
      IEEE Multimedia
      Print ISSN
      1070-986X
      Electronic ISSN
      1941-0166
      Publisher
      IEEE Computer Society
      Language
      English
      Type
      Article
      Item Usage Stats
      181
      views
      173
      downloads
      Abstract
      We present BilVideo-7, an MPEG-7 compatible, video indexing and retrieval system that supports complex multimodal queries in a unified framework. An MPEG-7 profile is developed to represent the videos by decomposing them into Shots, Keyframes, Still Regions and Moving Regions. The MPEG-7 compatible XML representations of videos according to this profile are obtained by the MPEG-7 compatible video feature extraction and annotation tool of BilVideo-7, and stored in a native XML database. Users can formulate text-based semantic, color, texture, shape, location, motion and spatio-temporal queries on an intuitive, easy-to-use Visual Query Interface, whose Composite Query Interface can be used to specify very complex queries containing any type and number of video segments with their descriptors. The multi-threaded Query Processing Server parses incoming queries into subqueries and executes each subquery in a separate thread. Then, it fuses subquery results in a bottom-up manner to obtain the final query result. The whole system is unique in that it provides very powerful querying capabilities with a wide range of descriptors and multimodal query processing in an MPEG-7 compatible interoperable environment. We present sample queries to demonstrate the capabilities of the system.
      Keywords
      Computer vision
      Feature extraction
      Image processing
      MPEG-7
      Pattern recognition
      Query processing
      Semantics
      Spatial databases
      Video processing
      Video retrieval
      Visual databases
      Multimodal query processing.
      Permalink
      http://hdl.handle.net/11693/53122
      Published Version (Please cite this version)
      https://dx.doi.org/10.1109/MMUL.2009.74
      Collections
      • Department of Computer Engineering 1561
      Show full item record

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsCoursesThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsCourses

      My Account

      Login

      Statistics

      View Usage StatisticsView Google Analytics Statistics

      Bilkent University

      If you have trouble accessing this page and need to request an alternate format, contact the User and Access Services. Phone: (312) 290 1298
      © Bilkent University - Library IT

      Contact Us | Send Feedback | Off-Campus Access | Admin | Privacy