Publication

Interactive semantic fisheye views for information workspaces

Frank Paul Janecek
2004
Theses

Abstract

In this thesis, we investigate the effectiveness of semantic fisheye views for opportunistic search and sensemaking tasks over large collections of annotated images. Semantic fisheye views are interactive visualization techniques that reveal semantic detail and context related to a focus. These techniques reduce visual complexity by showing the most important information in detail, and de-emphasizing or filtering less important information. There are three significant contributions of this thesis. First, we have developed a framework for the design of semantic fisheye view techniques to support highly interactive tasks, such as opportunistic search and sensemaking. Second, we have developed a prototype for exploring a large collection of annotated images based on this framework. The workspace integrates WordNet to support semantic queries and navigation over the unstructured image collection. Finally, we present the results of an experimental evaluation comparing the effectiveness of similarity and semantic-guided search for a complex search task. The results of this experiment strongly suggest that semantic-guided search is more effective for opportunistic search and sensemaking tasks.

Official source

https://infoscience.epfl.ch/entities/publication/9f08f91d-6a91-4bdd-b03b-3c2af0758648

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Frank Paul Janecek
2004
Theses

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/9f08f91d-6a91-4bdd-b03b-3c2af0758648

About this result

Related concepts (26)

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.

Annotation

An annotation is extra information associated with a particular point in a document or other piece of information. It can be a note that includes a comment or explanation. Annotations are sometimes presented in the margin of book pages. For annotations of different digital media, see web annotation and text annotation. Annotation Practices are highlighting a phrase or sentence and including a comment, circling a word that needs defining, posing a question when something is not fully understood and writing a short summary of a key section.

Data and information visualization

Data and information visualization (data viz or info viz) is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.

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