Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback
Multimedia Tools and Applications
A Database Approach for Modeling and Querying Video Data
IEEE Transactions on Knowledge and Data Engineering
IFOOD: An Intelligent Fuzzy Object-Oriented Database Architecture
IEEE Transactions on Knowledge and Data Engineering
Modeling and Management of Fuzzy Information in Multimedia Database Applications
Multimedia Tools and Applications
BilVideo: Design and Implementation of a Video Database Management System
Multimedia Tools and Applications
Content-based image retrieval: approaches and trends of the new age
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
EDF: A framework for Semantic Annotation of Video
ICCVW '05 Proceedings of the Tenth IEEE International Conference on Computer Vision Workshops
A survey of content-based image retrieval with high-level semantics
Pattern Recognition
Proceedings of the 6th ACM international conference on Image and video retrieval
An intelligent fuzzy object-oriented database framework for video database applications
Fuzzy Sets and Systems
Multidimensional descriptor indexing: exploring the bitmatrix
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
ClassView: hierarchical video shot classification, indexing, and accessing
IEEE Transactions on Multimedia
Integrated semantic-syntactic video modeling for search and browsing
IEEE Transactions on Multimedia
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In this study, a multimedia database system which includes a semantic content extractor, a high-dimensional index structure and an intelligent fuzzy object-oriented database component is proposed. The proposed system is realized by following a component-oriented approach. It supports different flexible query capabilities for the requirements of video users, which is the main focus of this paper. The query performance of the system (including automatic semantic content extraction) is tested and analyzed in terms of speed and accuracy.