Faculty Advisor or Committee Member

Mark L. Claypool, Advisor

Faculty Advisor or Committee Member

Emmanuel O. Agu, Reader




With the steady increase in the bandwidth available to end users and Web sites hosting user generated content, there appears to be more multimedia content on the Web than ever before. Studies to quantify media stored on the Web done in 1997 and 2003 are now dated since the nature, size and number of streaming media objects on the Web have changed considerably. Although there have been more recent studies characterizing specific streaming media sites like YouTube, there are only a few studies that focus on characterizing the media stored on the Web as a whole. We build customized tools to crawl the Web, identify streaming media content and extract the characteristics of the streaming media found. We choose 16 different starting points and crawled 1.25 million Web pages from each starting point. Using the custom built tools, the media objects are identified and analyzed to determine attributes including media type, media length, codecs used for encoding, encoded bitrate, resolution, and aspect ratio. A little over half the media clips we encountered are video. MP3 and AAC are the most prevalent audio codecs whereas H.264 and FLV are the most common video codecs. The median size and encoded bitrates of stored media have increased since the last study. Information on the characteristics of stored multimedia and their trends over time can help system designers. The results can also be useful for empirical Internet measurements studies that attempt to mimic the behavior of streaming media traffic over the Internet.


Worcester Polytechnic Institute

Degree Name



Computer Science

Project Type


Date Accepted





stored media, streaming media, media crawler