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 This book is organized in four distinctive parts. The first part introduces the reader to interactive video and video summarization. Chapter two presents effective methodologies for automatic abstraction of a single video sequence, a set of video sequences, and a combined audio-video sequence. The second part presents a list of advanced algorithms and methodologies for automatic and semi-automatic analysis and editing of audio-video documents. Chapter five presents a novel automatic face recognition technology that allows the user to rapidly browse scenes by formulating queries based on the presence of specific actors in a DVD
of multiple feature-length films. In particular, chapter 6 presents a new efficient methodology for analyzing and editing audio signals of a video file in the visual domain, that allows analyzing and editing audio in a “what you see is what you hear” style. The third part tackles a more challenging level of automatic video re-structuring, filtering of video stream by extracting of highlights, events, and meaningful semantic units. In particular, chapter 8 presents a detailed example of the Computational Media Aesthetics approach at work towards understanding the semantics of instructional media through automated analysis for e-learning content annotation. The last part is reserved for interactive video searching engines, non-linear browsing and quick video navigational systems.
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