Expansions of 11 selected papers explore recent developments in applying theories and techniques of data mining discovering and describing patterns of interest in data to data consisting of video sequences, with or without an audio component. Contributors from various industries and universities, mostly in the US, consider video browsing using multiple synchronized views; the physical setting as a video mining primitive; temporal video boundaries; video summarization using activity and audio descriptors; content analysis using multimodal information; video categorization using semantics and semiotics; and other topics. Annotation (c) Book News, Inc., Portland, OR (booknews.com)
Video Mining is an essential reference for the practitioners and academicians in the fields of multimedia search engines. Half a terabyte or 9,000 hours of motion pictures are produced around the world every year. Furthermore, 3,000 television stations broadcasting for twenty-four hours a day produce eight million hours per year, amounting to 24,000 terabytes of data. Although some of the data is labeled at the time of production, an enormous portion remains unindexed. For practical access to such huge amounts of data, there is a great need to develop efficient tools for browsing and retrieving content of interest, so that producers and end users can quickly locate specific video sequences in this ocean of audio-visual data. Video Mining is important because it describes the main techniques being developed by the major players in industry and academic research to address this problem. It is the first time research from these leaders in the field developing the next-generation multimedia search engines is being described in great detail and gathered into a single volume. Video Mining will give valuable insights to all researchers and non-specialists who want to understand the principles applied by the multimedia search engines that are about to be deployed on the Internet, in studios' multimedia asset management systems, and in video-on-demand systems.
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