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Issue No.09 - September (2001 vol.34)
pp: 68-74
ABSTRACT
<p>The Multimedia Knowledge Discovery group at IBM Almaden Research Center explores technologies that help locate streaming media on the Web, build effective indexing and classification tools for streaming media, and develop compelling streaming-media applications. The authors' ongoing work, motivated by the Web's role as an ever-increasing information source and knowledge repository, focuses on locating, analyzing, and indexing Web-based streaming media.</p><p>Frequently, knowledge management applications and information portals synthesize unstructured text information from the Web, intranets, and partner sites. Given this context, the authors routinely crawl a statistically significant number of Web pages, detect those that contain streaming-media links, crawl the media links to extract associated metadata, then use the crawl data to build a resource list for Web media. They have used these crawl data findings to build a media indexing application that uses content-based indexing methods.</p><p>Searching multiple live-broadcast channels with the indexing application lets users locate relevant multimedia resources on the Web. Providing on-demand access to these media reduces the time spent consuming nonrelevant information from a streaming-media channel.</p><p>Work on indexing video archives inspires several directions for future research. For example, existing genre-classification and topic-detection methods require processing and analyzing large parts of a document, which presents a greater challenge when performed on live streams. Scalability plays an important role in deploying such systems, given the amount of computation required for simultaneous processing of multiple live streams. Fortunately, rapid progress in hardware and networking will enable deployment of such systems soon.</p>
CITATION
Jan Pieper, Savitha Srinivasan, Byron Dom, "Streaming-Media Knowledge Discovery", Computer, vol.34, no. 9, pp. 68-74, September 2001, doi:10.1109/2.947094
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