Many visualization approaches teach us that ease of use is the key to effective visual data analysis. The Table
Lens is an excellent example of a simple, yet expressive visual method that can help in analyzing even larger
volumes of data.
In this work, we present two extensions of the original Table Lens approach. In particular, we extend the Table
Lens by Two-Tone Pseudo Coloring (TTPC) and a hybrid clustering. By integrating TTPC into the Table Lens,
we obtain visual representations that can communicate larger volumes of data while still maintaining precision.
Secondly, we propose to integrate a data analysis step that implements a hybrid clustering based on self-organizing
maps and hierarchical clustering. The analysis step helps to extract and communicate complementary structural
information about the data and also serves to drive interactive information drill-down.
Proc. SPIE. 6507, Multimedia on Mobile Devices 2007
KEYWORDS: Mobile devices, Internet, Human-machine interfaces, Digital photography, Visualization, Cameras, Personal digital assistants, Prototyping, Global Positioning System, Information visualization
Today's digital photos can be tagged with information about when and where they were taken. On stationary
computers, this information is often used to drive photo browsing. This is not the case for mobile devices.
We describe first results of our current research on a novel photo browsing technique called TiDi Browser.
TiDi Browser exploits time and location information available in digital photos to facilitate the identification of
personal events and the detection of patterns of specific occurrences in time and space. Along with a main view
and thumbnail previews, our browser application provides two time lines. One time line visualizes the number of
photos taken per temporal unit (e.g., day, week, etc.). This allows users to easily detect personal events in time.
The second time line visualizes location information. Since two- or three-dimensional locations are difficult to
represent on small displays, we reduce the location information to one-dimensional distance information. The
distance is shown in the second time line. Both time lines serve a second purpose as graphical user interface,
meaning that they can be used to browse in time. Even larger photo collections can be browsed on very small
displays intuitively and efficiently.
We implemented our ideas in an interactive prototype that uses a client-server-architecture. To save bandwidth,
we transmit appropriately scaled photos that fit the display dimensions of the client (mobile device). To
enhance the user's browsing experience, we apply caching and prefetching strategies.