MPEG-7 uyumlu video veritabanında sorgu işleme

Based on the recent advancements in multimedia, communication, and storagetechnologies, the amount of audio-visual content stored is increased dramatically.The need to organize and access the growing multimedia content led researchersto develop multimedia database management systems. However, each system hasits own way of describing the multimedia content that disables interoperabilityamong other systems. To overcome this problem and to be able to standardize thedescription of audio-visual content stored in those databases, MPEG-7 standardhas been developed by MPEG (Moving Picture Experts Group).In this thesis, a query language and a query processor for an MPEG-7 compliantvideo database system is proposed. The query processor consists of threemain modules: query parsing module, query execution module, and result fusionmodule. The query parsing module parses the XML based query and divides itinto sub-queries. Each sub-query is then executed with related query executionmodule and the final result is obtained by fusing the results of the sub-queries accordingto user defined weights. The prototype video database system BilVideov2.0, which is formed as a result of this thesis work, supports spatio-temporaland 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, andweighted result fusion feature are the major factors that highly differentiate betweenBilVideo v2.0 and its predecessor, BilVideo.