Explorations in parallel distributed processing: a handbook of models, programs, and exercises
Explorations in parallel distributed processing: a handbook of models, programs, and exercises
Multilayer feedforward networks are universal approximators
Neural Networks
Index-based object recognition in pictorial data management
Computer Vision, Graphics, and Image Processing
Media-based navigation for hypermedia systems
HYPERTEXT '93 Proceedings of the fifth ACM conference on Hypertext
Inference and retrieval of facial images
Multimedia Systems
CORE: a content-based retrieval engine for multimedia information systems
Multimedia Systems - Special issue on content-based retrieval
Media-based navigation with generic links
Proceedings of the the seventh ACM conference on Hypertext
Neural Networks and Simulation Methods
Neural Networks and Simulation Methods
Multimedia Information Systems
IEEE MultiMedia
An Intelligent Image Database System
IEEE Transactions on Software Engineering
A Visual Information Management System for the Interactive Retrieval of Faces
IEEE Transactions on Knowledge and Data Engineering
Design and analysis of data structures for querying image databases
Proceedings of the 2001 ACM symposium on Applied computing
A multimedia database supports Internet-based English learning
Distributed multimedia databases
Similarity-based algebra for multimedia database systems
ADC '01 Proceedings of the 12th Australasian database conference
Similarity-Based Operators in Image Database Systems
WAIM '01 Proceedings of the Second International Conference on Advances in Web-Age Information Management
A Method for Photograph Indexing Using Speech Annotation
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Combining multi-visual features for efficient indexing in a large image database
The VLDB Journal — The International Journal on Very Large Data Bases
A multimedia database supports english distance learning
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
Image Retrieval Using Multiple Evidence Ranking
IEEE Transactions on Knowledge and Data Engineering
An expansion and reranking approach for annotation-based image retrieval from Web
Expert Systems with Applications: An International Journal
MIS'05 Proceedings of the 11th international conference on Advances in Multimedia Information Systems
Automatic image description based on textual data
Journal on Data Semantics VII
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Content-based retrieval of multimedia database calls for content-based indexing techniques. Different from conventional databases, where data items are represented by a set of attributes of elementary data types, multimedia objects in multimedia databases are represented by a collection of features; similarity of object contents depends on context and frame of reference; and features of objects are characterized by multimodal feature measures. These lead to great challenges for content-based indexing. On the other hand, there are special requirements on content-based indexing: To support visual browsing, similarity retrieval, and fuzzy retrieval, nodes of the index should represent certain meaningful categories. That is to say that certain semantics must be added when performing indexing. ContIndex, the context-based indexing technique presented in this paper, is proposed to meet these challenges and special requirements. The indexing tree is formally defined by adapting a classification-tree concept. Horizontal links among nodes in the same level enhance the flexibility of the index. A special neural-network model, called Learning based on Experiences and Perspectives (LEP), has been developed to create node categories by fusing multimodal feature measures. It brings into the index the capability of self-organizing nodes with respect to certain context and frames of reference. An icon image is generated for each intermediate node to facilitate visual browsing. Algorithms have been developed to support multimedia object archival and retrieval using ContIndex. ContIndex has been successfully applied to two applications: A facial image retrieval system, CAFIIR, and a trademark archival and registration system, STAR.