Intermediate Annotationless Dynamical Object-Index-Based Query in Large Image Archives with Holographic Representation

TL;DR: It is argued that all image forms are representable in the same general pullback category enabling the universal operations which can form the basis of all practical image activity.

TL;DR: The implementation uses a message-passing library for architecture independent communications, uses object oriented programming for modularity and portability, and employs Java to provide a graphical user interface, multimedia capability, and acessibility via the internet.

TL;DR: The retrieval characteristics of an untrained holographic index for image databases is described and the impact of encoding parameters on the retrieval performance of the index is presented.

TL;DR: Holographic neural networks can be used to classify patterns and select features. A new tool for feature selection based on holographic neural networks is proposed. The tool maps complex numbers to the interval [0, 1] using Pythagorean membership degrees. The holographic classifiers with fuzzy quantization show an accuracy result higher than 90% with the Iris dataset.

TL;DR: A content-based image retrieval (CBIR) system is required to effectively and efficiently use information from these image repositories as discussed by the authors, which helps users (even those unfamiliar with the database) retrieve relevant images based on their contents.

TL;DR: In this paper, the authors adopt both an image model and a user model to interpret and operate the contents of image data from the user''s viewpoint, referred to as abstract indexes stored in relational tables.

TL;DR: A prototype intelligent image database system (IIDS) that is based on a novel pictorial data structure that supports spatial reasoning, flexible image information retrieval, visualization, and traditional image database operations is presented.

TL;DR: In this article, a more general analogue is discussed and two two-step transformations that imitate the recording-reconstruction sequence in holography are presented, where the first transformation models the recall of an entire sequence from a fragment while the second is more like human memory in that it provides recall of only the part of the sequence that follows the keying fragment.