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Flexible Querying Using Structural and Event Based Multimodal Video Data Model

  • Hakan Öztarak
  • Adnan Yazıcı
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4027)

Abstract

Investments on multimedia technology enable us to store many more reflections of the real world in digital world as videos so that we carry a lot of information to the digital world directly. In order to store and efficiently query this information, a video database system (VDBS) is necessary. We propose a structural, event based and multimodal (SEBM) video data model which supports three different modalities that are visual, auditory and textual modalities for VDBSs and we can dissolve these three modalities within a single SEBM model. We answer the content-based, spatio-temporal and fuzzy queries of the user by using SEBM video data model more easily, since SEBM stores the video data as the way that user interprets the real world data. We follow divide and conquer technique when answering very complicated queries. We give the algorithms for querying on SEBM and try them on an implemented SEBM prototype system.

Keywords

Video Data Complex Query Video Object Spatial Query Semantic Place 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hakan Öztarak
    • 1
  • Adnan Yazıcı
    • 2
  1. 1.Aselsan IncYenimahalle, AnkaraTurkey
  2. 2.Department of Computer EngineeringMETUAnkaraTurkey

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