Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Structural and event based multimodal video data modeling
Download
index.pdf
Date
2005
Author
Öztarak, Hakan
Metadata
Show full item record
Item Usage Stats
271
views
154
downloads
Cite This
Investments on multimedia technology enable us to store many more reflections of the real world in digital world as videos. By recording videos about real world entities, 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. In this thesis work, we propose a structural, event based and multimodal (SEBM) video data model for VDBSs. SEBM video data model supports three different modalities that are visual, auditory and textual modalities and we propose that we can dissolve these three modalities with a single SEBM video data model. This proposal is supported by the interpretation of the video data by human. Hence we can answer the content based, spatio-temporal and fuzzy queries of the user more easily, since we store the video data as the way that s/he interprets the real world data. We follow divide and conquer technique when answering very complicated queries. We have implemented the SEBM video data model in a Java based system that uses XML for representing the SEBM data model and Berkeley XML DBMS for storing the data based on the SEBM prototype system.
Subject Keywords
Electronic computers.
URI
http://etd.lib.metu.edu.tr/upload/12606919/index.pdf
https://hdl.handle.net/11511/15317
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Semantik video modeling and retrieval with visual, auditory, textual sources
Durak, Nurcan; Yazıcı, Adnan; Department of Computer Engineering (2004)
The studies on content-based video indexing and retrieval aim at accessing video content from different aspects more efficiently and effectively. Most of the studies have concentrated on the visual component of video content in modeling and retrieving the video content. Beside visual component, much valuable information is also carried in other media components, such as superimposed text, closed captions, audio, and speech that accompany the pictorial component. In this study, semantic content of video is m...
Flexible querying using structural and event based multimodal video data model
Oztarak, Hakan; Yazıcı, Adnan (2006-01-01)
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 modaliti...
Generating motion-economical plans for manual operations
Canan, Özgen; Birtürk, Ayşe Nur; Department of Computer Engineering (2005)
This thesis discusses applying AI planning tools for generating plans for manual operations. Expertise of motion economy domain is used to select good plans among feasible ones. Motion economy is a field of industrial engineering, which deals with observing, reporting and improving manual operations. Motion economy knowledge is organized in principles regarding the sequences and characteristics of motions, arrangement of workspace, design of tools etc. A representation scheme is developed for products, work...
The effects of hierarchy on mobile wireless sensor network coverage
Aslan, Ali Umut; Solak, Ercan; Department of Information Systems (2006)
Due to their economic potential and widespread application areas, wireless sensor networks have emerged as an active research topic during the last five years. One of the fundamental challenges in wireless sensor network research is the provision of sufficient coverage while maintaining energy efficiency and longevity under sensor mobility. The purpose of this thesis is to observe the coverage and energy consumption dynamics of a mobile wireless sensor network in a hierarchical architecture. To achieve this...
Duty cycle control in wireless sensor networks
Yılmaz, Mine; Bilgen, Semih; Department of Electrical and Electronics Engineering (2007)
Recent advances in wireless communication and micro-electro-mechanical systems (MEMS) have led to the development of implementation of low-cost, low power, multifunctional sensor nodes. These sensor node are small in size and communicate untethered in short distances. The nodes in sensor networks have limited battery power and it is not feasible or possible to recharge or replace the batteries, therefore power consumption should be minimized so that overall network lifetime will be increased. In order to mi...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
H. Öztarak, “Structural and event based multimodal video data modeling,” M.S. - Master of Science, Middle East Technical University, 2005.