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<Paper uid="W98-0205">
  <Title>(CMU), and the Battelle Pacific Northwest National Laboratories</Title>
  <Section position="7" start_page="37" end_page="39" type="evalu">
    <SectionTitle>
4 Experimental Results
</SectionTitle>
    <Paragraph position="0"> Although both Informedia and Starlight separately exhibit powerful capabilities for accessing large collections of data, it was interesting to speculate about synergistic The video data was indexed by Informedia, then we passed the resulting metadata to Starlight as described above. Starlight presents the entire collection of hundreds of video paragraphs as a scatterplot of points for viewing, which can be color-coded by video title. We immediately observed that items with like colors tended to cluster together, verifying that TPT processing was effective in bringing together topically related items.</Paragraph>
    <Paragraph position="1"> In an experiment to evaluate the further effects of integration, we posed several queries to both Informedia and Starlight, noted commonalties and differences in response, then used the global  view of Starlight to find other items with similar content and to discover additional search terms. After Starlight reported query &amp;quot;hits,&amp;quot; we observed the region in 3D space encompassed by the video file containing the most hits. Using the cursor brush to see abstracts, we examined  The last three columns indicate a positive result by showing additional video paragraphs and search terms relating to the initial query. The additional items varied in degree of relevance, but the cost of the new information is low in that only a few seconds were required to examine each. This illustrates the capacity of the integrated approach as an interactive tool for ready access to video content.</Paragraph>
    <Paragraph position="2"> Conclusion This effort clearly succeeded in the goal of providing access to multimedia content for the Starlight system. We have also shown the usefullness of Starlight global visualization of text metadata for video content.</Paragraph>
    <Paragraph position="3"> all items (of any color) within this region, and noted interesting terms. Because the axes were topically labeled, additional terms were also available from the axis in the vicinity of the cluster. Table 1 shows the results of this experiment.</Paragraph>
    <Paragraph position="4">  The concept of bringing text metadata into Starlight is extensible to image, sound, animation, and other media, which suggests further experimentation with other forms of multimedia information and methods of generating metadata.</Paragraph>
    <Paragraph position="5"> Both Informedia indexing and Starlight processing require some manual intervention. In order for these approaches to be efficient and cost-effective, we must develop fully automatic methods for creating and processing text metadata for multimedia information. It may be possible to do this by compromising the quality of metadata (perhaps by using unedited speech recognition from Informedia); a future experiment would be to attempt this compromise and discover the effect on search performance.</Paragraph>
  </Section>
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