Publication

Visual and Multimedia Information Management. IFIP TC2/WG2.6. Sixth Working Conference on Visual Database Systems

2002
Conference Proceedings

Abstract

The following topics are dealt with: hyperdatabases; federated information systems; relevance feedback in CBIR; Oracle Chart Builder and MapViewer; SOM-based k-nearest neighbors search; partial image retrieval; high-dimensional image indexing; design and visualization of active capability; multimedia displays; entropy-based approach to visualizing database structure; visual query processing; spatio-temporal modelling and querying video databases; digital cartography; virtual walkthrough; aural interfaces; geographic information systems; automatic annotation and retrieval of images; Web-based Australian export trading; content-based image retrieval; dynamic Web pages; semantic classification; speech access to image databases; visual similarity retrieval; and face database

Official source

https://infoscience.epfl.ch/entities/publication/e17d10a6-493a-4158-91af-a59d07b31504

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2002
Conference Proceedings

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/e17d10a6-493a-4158-91af-a59d07b31504

About this result

Related concepts (21)

Content-based image retrieval

Content-based image retrieval, also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the problem, that is, the problem of searching for s in large databases (see this survey for a scientific overview of the CBIR field). Content-based image retrieval is opposed to traditional concept-based approaches (see ). "Content-based" means that the search analyzes the contents of the image rather than the metadata such as keywords, tags, or descriptions associated with the image.

Visual system

The visual system comprises the sensory organ (the eye) and parts of the central nervous system (the retina containing photoreceptor cells, the optic nerve, the optic tract and the visual cortex) which gives organisms the sense of sight (the ability to detect and process visible light) as well as enabling the formation of several non-image photo response functions. It detects and interprets information from the optical spectrum perceptible to that species to "build a representation" of the surrounding environment.

Image retrieval

An image retrieval system is a computer system used for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, title or descriptions to the images so that retrieval can be performed over the annotation words. Manual image annotation is time-consuming, laborious and expensive; to address this, there has been a large amount of research done on automatic image annotation.

Related publications (24)

Visual and Multimedia Information Management. IFIP TC2/WG2.6. Sixth Working Conference on Visual Database Systems

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