Principles of multimedia database systems
Principles of multimedia database systems
Semantic Models for Multimedia Database Searching and Browsing
Semantic Models for Multimedia Database Searching and Browsing
Multimedia Databases: An Object Relational Approach
Multimedia Databases: An Object Relational Approach
Semantic Abstractions in the Multimedia Domain
IEEE Transactions on Knowledge and Data Engineering
Object Detection Using the Statistics of Parts
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Foundation of the DISIMA Image Query Languages
Multimedia Tools and Applications
Context and Memory in Multimedia Content Analysis
IEEE MultiMedia
Multi-level annotation of natural scenes using dominant image components and semantic concepts
Proceedings of the 12th annual ACM international conference on Multimedia
A multi-modal system for the retrieval of semantic video events
Computer Vision and Image Understanding - Special issue on event detection in video
Statistical Shape Analysis: Clustering, Learning, and Testing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Radon Transform Orientation Estimation for Rotation Invariant Texture Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Guest Editorial: Introduction to the Special Issue
Multimedia Tools and Applications
Temporal event clustering for digital photo collections
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Probabilistic semantic network-based image retrieval using MMM and relevance feedback
Multimedia Tools and Applications
Introduction to the special issue on multimedia databases
Information Systems
Correlation-Based Video Semantic Concept Detection Using Multiple Correspondence Analysis
ISM '08 Proceedings of the 2008 Tenth IEEE International Symposium on Multimedia
Mining High-Level Features from Video Using Associations and Correlations
ICSC '09 Proceedings of the 2009 IEEE International Conference on Semantic Computing
Framework for real-time behavior interpretation from traffic video
IEEE Transactions on Intelligent Transportation Systems
Video Semantic Event/Concept Detection Using a Subspace-Based Multimedia Data Mining Framework
IEEE Transactions on Multimedia
Learning a semantic space from user's relevance feedback for image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Correlation-Based Ranking for Large-Scale Video Concept Retrieval
International Journal of Multimedia Data Engineering & Management
Authorship Detection and Encoding for eBay Images
International Journal of Multimedia Data Engineering & Management
Rule-Based Semantic Concept Classification from Large-Scale Video Collections
International Journal of Multimedia Data Engineering & Management
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The exponential growth of the technological advancements has resulted in high-resolution devices, such as digital cameras, scanners, monitors, and printers, which enable the capturing and displaying of multimedia data in high-density storage devices. Furthermore, more and more applications need to live with multimedia data. However, the gap between the characteristics of various media types and the application requirements has created the need to develop advanced techniques for multimedia data management and the extraction of relevant information from multimedia databases. Though many research efforts have been devoted to the areas of multimedia databases and data management, it is still far from maturity. The purpose of this article is to discuss how the existing techniques, methodologies, and tools addressed relevant issues and challenges to enable a better understanding in multimedia databases and data management. The focuses include: 1 how to develop a formal structure that can be used to capture the distinguishing content of the media data in a multimedia database MMDB and to form an abstract space for the data to be queried; 2 how to develop advanced content analysis and retrieval techniques that can be used to bridge the gaps between the semantic meaning and low-level media characteristics to improve multimedia information retrieval; and 3 how to develop query mechanisms that can handle complex spatial, temporal, and/or spatio-temporal relationships of multimedia data to answer the imprecise and incomplete queries issued to an MMDB.