North C, Shneiderman B, Plaisant C. User controlled overviews of an image library: a case study of the visible human. ACM Internat Conf on Digital Libraries. New York: ACM Press, 1996; 74 -- 82.  Home/Search   Document Details and Download   Summary   ACM   TOC   Related Articles   Check

....of medical imaging. In the following, we illustrate both perspectives by examining several significant examples. 3. 2 A gallery of IV applications in Medicine An example of interactive visualization for browsing a large dataset of medical images is given by the Visible Human Explorer interface [14, 15] developed for the Visible Human digital library of anatomical images. The interface displays a miniature version of the human body in a 2D front view longitudinal cut, and separately shows a 2D cross section perpendicular to the longitudinal one. The user can move both the longitudinal and the ....

North C, Shneiderman B, Plaisant C. User controlled overviews of an image library: a case study of the visible human. ACM Internat Conf on Digital Libraries. New York: ACM Press, 1996; 74 -- 82.

....typically holds a visual marker highlighting the position of the detail view within the overview. This marker helps to reduce the time required for re orientating when switching from detail to overview. O d interfaces have been used for a variety of application areas including medical images [17] and assisting programmers in editing and analyzing code [8] Shneiderman suggests that the basic two window o d visualization is useful for zoom factors (magnification ratio between overview and detail view) of 5 30, after which a cascade of overviews would be better [19] Focus plus context ....

North, C., Shneiderman, B., Plaisant, C. User Controlled Overviews of an Image Library: A Case Study of the Visible Human, in Readings in Information Visualization, Morgan Kaufmann, 570--578.

....1D and 2D representations, while Worlds uses 3D representations. Worlds represents multiple dimensions by nesting one co ordinate system within another. Hence, the axes are overloaded. Other tools use a more explicit form of interactive slicing to view 2D planar sections of the data space [5]. The major disadvantages of these approaches are lack of overview context, occlusion (in the 3D case) The nesting and slicing make it difficult to visualize the data trends across all dimensions uniformly. Trends can only be viewed on 2 or 3 dimensions at a time, and never an overview of ....

North, Shneiderman, Plaisant. User Controlled Overviews of an Image Library: A Case Study of the Visible Human. Proc. ACM Digital Libraries '96 Conference, ACM Press, pg. 74-82, (1996).

....slice parts merged into the final displayable slice volumic extent 3 Users are asked to specify a slice located at a given position within a 3D image and having a given orientation. The client s user interface displays enough information (a miniaturized version of the 3D image, as in [North96]) to enable the user to interactively specify the desired image slice (Figure 2) The parameters defining the user selection are sent to the server application. The server application consists of a proxy residing on the client s site and of server processes running on the server s parallel ....

C. North, B. Shneiderman, C. Plaisant, "User-Controlled Overviews of an Image Library: A Case Study of the Visible Human," Proceedings of the 1996 ACM Digital Libraries Conference, ACM Press, 1996

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North, C., Shneiderman, B., and Plaisant, C., User controlled overviews of an image library: A case study of the Visible Human, Proceedings 1st ACM International Conference on Digital Libraries, (March 1996), 74-82.

....querying less applicable to huge networked information warehouses. One solution to this problem uses data aggregation in tandem with dynamic queries [5] Another solution to this problem might be the division of the bigger problem into several smaller problems, as in query previews and overviews [3,4,8]. The paradigm is to give an overview of the database to users before the details are visualized. A good overview should enable users to see the necessary detail in order to make the final query and understand the distribution of data in the database. The querying process is divided into steps to ....

C. North, B. Shneiderman, and C. Plaisant, User Controlled Overviews of an Image Library: A Case Study of the Visible Human, Proceedings of the 1st ACM International Conference on Digital Libraries, 1996, pp. 74-82.

.... prototype has a three window strategy: a search tool window (top level) a thumbnail browser window (intermediate level) a detail viewer window (bottom level) This follows the tried and tested visual information seeking strategy: Overview first, zoom and filter, and then details on demand [2]. We combined dynamic query techniques with query previews that show the cardinality of result sets, thereby guiding users to avoid zero hit queries. The three window strategy tightly coupled displays to form a coherent view to the data that users are searching and browsing. 2.2 Exploring ....

....bars where multiple disjunctive range selections can be specified by using multiple range sliders. On the left, a separate attribute value is used to represent data with missing a date. 3. 2 Dynamic Queries Query Previews Dynamic query techniques have proved to be comprehensible and effective [2][4] Immediate feedback often provides more information than statically displayed query results. In PhotoFinder, dynamic queries are also used to enhance the searching capabilities. Query results are updated in real time for previews in the search panel, and the thumbnail browser window is also ....

C. North, B. Shneiderman, C. Plaisant, "User Controlled Overviews of an Image Library: A Case Study of the Visible Human", Proc. ACM Digital Libraries '96 Conference, ACM Press, New York, pp. 74-82, 1996.

.... seeking tasks and attempt to show application to each of the seven basic datatypes (1D, 2D, 3D, Mutli D, temporal, hierarchic, network) Shn96] We also demonstrate these with mockups for browsing text documents (as in the above web example) and 2D and 3D data (as in the Visible Human Explorer [NSP96]) See [NWS86] SSS86] CPF84] for taxonomies of general multiple window strategies, and [CR96] Twe97] for taxonomies of interaction in information visualization. TAXONOMY OF MULTIPLE WINDOW COORDINATIONS The taxonomy (Table 1) organizes coordination strategies into a 2x3 matrix. First, we ....

....by consulting a relational database during the brushing process (Figure 4) In Microsoft Word, selecting an annotation in the annotations window also highlights its corresponding pointer in the document text window to help users locate it in the text. In extending the Visible Human Explorer [NSP96], users could brush a view of the cross section image data to view a list of corresponding textual annotations in the MeSH (Medical Subject Headings) controlled vocabulary hierarchy (Figure 3) 2. Navigating Views to Views This coordination tightly couples view navigation in one window to ....

[Article contains additional citation context not shown here]

North, C., Shneiderman, B., Plaisant, C., "User Controlled Overviews of an Image Library: A Case Study of the Visible Human", Proc. ACM Digital Libraries '96 Conference, pp. 74-82, (1996).

....a user centered design team similar to the ACCESS team. HCIL has focused considerable effort on interfaces that allow users to browse and search collections of information and has been developing interface techniques such as dynamic queries [3] visual information seeking [4] and query previews [5 6]. Dynamic query interfaces extend direct manipulation to search tasks by closely coupling search specification with the display of results. These interfaces feature a visual representation of a database, typically with a scatterplot or starfield display) a visual representation of a query using ....

North, C., Shneiderman, B., Plaisant, C. User Controlled Overviews of an Image Library: A Case Study of the Visible Human, Proc. of the 1st ACM International Conference on Digital Libraries (Bethesda, MD, March 20-23, 1996) 74-82

....querying less applicable to huge networked information warehouses. One solution to this problem uses data aggregation in tandem with dynamic queries [5] Another solution to this problem might be the division of the bigger problem into several smaller problems, as in query previews and overviews [3,4,8]. The paradigm is to give an overview of the database to users before the details are visualized. A good overview should enable users to see the necessary detail in order to make the final query and understand the distribution of data in the database. The querying process is divided into steps to ....

C. North, B. Shneiderman, and C. Plaisant, User Controlled Overviews of an Image Library: A Case Study of the Visible Human, Proceedings of the 1st ACM International Conference on Digital Libraries, 1996, pp. 74-82.

....(i.e. numbers of data sets) Figure 1b. When users select attribute values, count totals are updated, giving users a preview of the size and distribution of the result set, before the query is submitted. This eliminates the zero hit or mega hit query problem. Figure 2. The Visible Human Explorer [12] allows users to rapidly browse thumbnail previews of high resolution images that would take days to download. On the left, a composite full body thumbnail overview, constructed from the 1800 separate images, allows users to browse individual image previews. This view of information seeking ....

North, C., Shneiderman, B. and Plaisant, C. 1996. User Controlled Overviews of an Image Library: A Case Study of the Visible Human. In Proc. ACM Digital Libraries '96, ACM: New York.

....by consulting a relational database during the brushing process (Figure 5) In Microsoft Word, selecting an annotation in the annotations window also highlights its corresponding pointer in the document text window to help users locate it in the text. In extending the Visible Human Explorer [NSP96], users could brush a view of the cross section image data to view a list of corresponding textual annotations [NK96] in the MeSH (Medical Subject Headings) controlled vocabulary hierarchy (Figure 4) Visage VQE [DRK97] has finally brought brushing across multiple relations to the data ....

....are used in Pad portals [BH94] and in [KPS97] for hierarchies laid out on a 2D surface. Plaisant et al. PCS95] develops a formal notation for specifying this coordination for browsing large images in a 2D continuous space. For a 3D volumetric image space, with the Visible Human Explorer [NSP96] users can rapidly navigate each orthogonal 2D cross section view through the human body by dragging the corresponding cut lines in the other views, and receive continuous feedback of contents (Figure 2) Discrete spaces, such as hierarchical menus, use highlighted selection. Users select ....

[Article contains additional citation context not shown here]

North, C., Shneiderman, B., Plaisant, C., "User Controlled Overviews of an Image Library: A Case Study of the Visible Human", Proc. ACM Digital Libraries '96 Conference, pp. 74-82, (1996).

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