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