Browsing functions in three-dimensional space for digital libraries

Kakimoto, Toshihiro; Kambayashi, Yahiko

doi:10.1007/s007990050038

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…Word Ordered text such as search engine output Icon list TileBars (Hearst, 1995), Cougar (Hearst, 1994), Veerasamy & Belkin, 1996;Veersamy & Heikes, 1997, NIRVE (Sebrechts et al, 1999, SFA (Shaw et al, 1999) Kakimoto & Kambayashi, 1999 GUIDO (Nuchprayoon, 1996), BIRD (Kim & Korfhage, 1994), InfoCrystal (Spoerri, 1993), Component State Drawing (Crouch & Korfhage, 1990), DARE (Zhang & Korfhage, 1999), Bead (Chalmers & Chitson, 1992), SENTINEL (Fox et al, 1999), SPIRE (Wise, 1999), NIRVE (Sebrechts et al, 1999), Asp-Inquery (Swan & Allan, 1998), SFA (Shaw et al, 1999), TETRALOGIE (Mothe & Dkaki, 1998), Kakimoto & Kambayashi, 1999 Spring (physical analog) VIBE (Olsen et al, 1992), Radviz (Au et al, 2000) FIG. 1.…”

Section: Visualization Type Systemmentioning

confidence: 99%

Testing visual information retrieval methodologies case study: Comparative analysis of textual, icon, graphical, and “spring” displays

Morse

Lewis

Olsen

2001

J. Am. Soc. Inf. Sci.

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Although many different visual information retrieval systems have been proposed, few have been tested, and where testing has been performed, results were often inconclusive. Further, there is very little evidence of benchmarking systems against a common standard. An approach for testing novel interfaces is proposed that uses bottom-up, stepwise testing to allow evaluation of a visualization, itself, rather than restricting evaluation to the system instantiating it. This approach not only makes it easier to control variables, but the tests are also easier to perform. The methodology will be presented through a case study, where a new visualization technique is compared to more traditional ways of presenting data.

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Section: Visualization Type Systemmentioning

confidence: 99%

Testing visual information retrieval methodologies case study: Comparative analysis of textual, icon, graphical, and “spring” displays

Morse

Lewis

Olsen

2001

J. Am. Soc. Inf. Sci.

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“…66 allows for visualization of Z Q . First, the images in I Q are organized in 2D layers according to labels in Z Q .…”

Section: Definitionmentioning

confidence: 99%

Interactive Retrieval of Color Images

Worring

Gevers

2001

Int. J. Image Grap.

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Retrieval of color images has become an important application in recent years. We make a concise analysis of methodologies for interactive retrieval of color images. Two issues are of importance. First, the domain, which can be broad or narrow. Second, the search method, which can be object search, target search, category search or associative search. On the basis of these, we give complete guidelines for choosing and designing methods for interactive color image retrieval based on the domain and search goal characteristics.

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