43 research outputs found
BilVideo: A video database management system
Cataloged from PDF version of article.The BilVideo video database management system provides integrated support for spatiotemporal and semantic queries for video. BilVideo can support any application with video data searching needs. It's query language provides a simple way to extend the system's query capabilities. Users can add application-dependent rules and facts to the knowledge base
BilVideo: A video database management system
The BilVideo video database management system provides integrated support for spatiotemporal and semantic queries for video. BilVideo can support any application with video data searching needs. It's query language provides a simple way to extend the system's query capabilities. Users can add application-dependent rules and facts to the knowledge base
Semantic query execution in a video database system
Cataloged from PDF version of article.In this thesis, we have extended a video database management system, called
BilVideo, with semantic querying capability. Our work is based on a video data
model for the extraction and storage of the semantic contents of videos, and a
query language to support semantic queries on video data. The Web based query
interface of BilVideo has also been modified to handle semantic queries both
visually and textually.Alper, CemilM.S
BilVideo: Design and implementation of a video database management system
With the advances in information technology, the amount of multimedia data captured, produced, and stored is increasing rapidly. As a consequence, multimedia content is widely used for many applications in today's world, and hence, a need for organizing this data, and accessing it from repositories with vast amount of information has been a driving stimulus both commercially and academically. In compliance with this inevitable trend, first image and especially later video database management systems have attracted a great deal of attention, since traditional database systems are designed to deal with alphanumeric information only, thereby not being suitable for multimedia data. In this paper, a prototype video database management system, which we call BilVideo, is introduced. The system architecture of BilVideo is original in that it provides full support for spatio-temporal queries that contain any combination of spatial, temporal, object-appearance, external-predicate, trajectory-projection, and similarity-based object-trajectory conditions by a rule-based system built on a knowledge-base, while utilizing an object-relational database to respond to semantic (keyword, event/activity, and category-based), color, shape, and texture queries. The parts of BilVideo (Fact-Extractor, Video-Annotator, its Web-based visual query interface, and its SQL-like textual query language) are presented, as well. Moreover, our query processing strategy is also briefly explained. © 2005 Springer Science + Business Media, Inc
Bilvideo-7: an MPEG-7- compatible video indexing and retrieval system
Cataloged from PDF version of article.BilVideo-7 is an MPEG-7-compatible, distributed, video indexing and retrieval system that supports complex multimodal queries in a unified framework
An efficient query optimization strategy for spatio-temporal queries in video databases
Cataloged from PDF version of article.The interest for multimedia database management systems has grown rapidly due to the need for the storage of huge volumes of multimedia data in computer systems. An important building block of a multimedia database system is the query processor, and a query optimizer embedded to the query processor is needed to answer user queries efficiently. Query optimization problem has been widely studied for conventional database systems; however it is a new research area for multimedia database systems. Due to the differences in query processing strategies, query optimization techniques used in multimedia database systems are different from those used in traditional databases. In this paper, a query optimization strategy is proposed for processing spatio-temporal queries in video database systems. The proposed strategy includes reordering algorithms to be applied on query execution tree. The performance results obtained by testing the reordering algorithms on different query sets are also presented. (C) 2003 Elsevier Inc. All rights reserved
Automatic detection of salient objects and spatial relations in videos for a video database system
Cataloged from PDF version of article.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.
(c) 2008 Elsevier B.V. All rights reserved
BilVideo-7 : video parsing, indexing and retrieval
Ankara : The Department of Computer Engineering and the Institute of Engineering and Science of Bilkent University, 2010.Thesis (Ph. D.) -- Bilkent University, 2010.Includes bibliographical references leaves 91-103.Video indexing and retrieval aims to provide fast, natural and intuitive access to
large video collections. This is getting more and more important as the amount of
video data increases at a stunning rate. This thesis introduces the BilVideo-7 system
to address the issues related to video parsing, indexing and retrieval.
BilVideo-7 is a distributed and MPEG-7 compatible video indexing and retrieval
system that supports complex multimodal queries in a unified framework. The video
data model is based on an MPEG-7 profile which is designed 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, color,
texture, shape, location, motion and spatio-temporal queries on an intuitive, easy-touse
visual query interface, whose composite query interface can be used to formulate
very complex queries containing any type and number of video segments with their
descriptors and specifying the spatio-temporal relations between them. The multithreaded
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 and sends the result to the originating client. 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.Baştan, MuhammetPh.D
Query processing for an MPEG-7 compliant video database
Ankara : The Department of Computer Engineering and the Institute of Engineering and Science of Bilkent University, 2008.Thesis (Master's) -- Bilkent University, 2008.Includes bibliographical references leaves 66-68.Based on the recent advancements in multimedia, communication, and storage
technologies, the amount of audio-visual content stored is increased dramatically.
The need to organize and access the growing multimedia content led researchers
to develop multimedia database management systems. However, each system has
its own way of describing the multimedia content that disables interoperability
among other systems. To overcome this problem and to be able to standardize the
description of audio-visual content stored in those databases, MPEG-7 standard
has been developed by MPEG (Moving Picture Experts Group).
In this thesis, a query language and a query processor for an MPEG-7 compliant
video database system is proposed. The query processor consists of three main
modules: query parsing module, query execution module, and result fusion module.
The query parsing module parses the XML based query and divides it into subqueries.
Each sub-query is then executed with related query execution module
and the final result is obtained by fusing the results of the sub-queries according
to user defined weights. The prototype video database system BilVideo v2.0,
which is formed as a result of this thesis work, supports spatio-temporal and low
level feature queries that contain any weighted combination of keyword, temporal,
spatial, trajectory, and low level visual feature (color, shape and texture) queries.
Compatibility with MPEG-7, low-level visual query support, and weighted result
fusion feature are the major factors that highly differentiate between BilVideo
v2.0 and its predecessor, BilVideo.Çam, HayatiM.S