Pyramidal algorithms for iconic indexing
Computer Vision, Graphics, and Image Processing
Software engineering (3rd ed.): a practitioner's approach
Software engineering (3rd ed.): a practitioner's approach
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Data structures and algorithm analysis (2nd ed.)
Data structures and algorithm analysis (2nd ed.)
Ruminations on C++
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
Analysis patterns: reusable objects models
Analysis patterns: reusable objects models
Retrieving similar pictures from iconic databases using G-tree
Pattern Recognition Letters
Error-Tolerant Retrieval of Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Best-Match Retrieval for Structured Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Matching and Indexing of Graph Models in Content-Based Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
MRML: A Communication Protocol for Content-Based Image Retrieval
VISUAL '00 Proceedings of the 4th International Conference on Advances in Visual Information Systems
Montage: An Image Database for the Fashion, Textile, and Clothing Industry in Hong Kong
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume I - Volume I
Modelling Agents in C++CL for Content-Based Image Retrieval
PDP '96 Proceedings of the 4th Euromicro Workshop on Parallel and Distributed Processing (PDP '96)
A framework for higher-order functions in C++
COOTS'95 Proceedings of the USENIX Conference on Object-Oriented Technologies on USENIX Conference on Object-Oriented Technologies (COOTS)
Indexing pictures by key objects for large-scale image databases
Pattern Recognition
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
A JAVA application framework for scientific software development
Software—Practice & Experience
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Content-based image retrieval (CBIR) is a process of retrieving images from an image database by exploiting the content of the images (typically the querying of an image). CBIR avoids many problems associated with traditional ways of retrieving images by keywords. Thus, a growing interest in the area of CBIR has been established in recent years. In this paper, a novel object-oriented framework (CBIRFrame) is built for CBIR applications development. We discuss the motivations for CBIRFrame before discussing its design in detail. Two applications of CBIRFrame are also briefly discussed to show the effectiveness of applying CBIRFrame to real applications. Finally, we outline the possible uses of the design of CBIRFrame for other types of domains, such as content-based retrieval of video clips.