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Hammoud R.I. (ed.) Interactive Video. Algorithms and Technologies

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Hammoud R.I. (ed.) Interactive Video. Algorithms and Technologies
Springer, 2006. — 256 p.
My purpose in writing Interactive Video: Algorithms and Technologies is to respond to an increased demand for a complete scientific guide that covers concepts, benefits, algorithms and interfaces of the emerging interactive digital video technology. This technology promises an end of the days of dull videos, linear playback, manual video search, and non-consent video-content. Many futurists and I share the view that interactive video is becoming the future standard of the most attractive video formats which will offer users nonconventional interactive features, powerful knowledge-acquisition and teaching tools, efficient storage, as well as non-linear ways of navigation and searching.
In recent years, video content has skyrocketed as a result of decreasing cost of video acquisition and storage devices, increasing network bandwidth capacities, and improving compression techniques. The rapid expansion of Internet connectivity and increasing interest in video-on-demand, e-learning and other online multimedia rich applications, makes video as accessible as any static data type like text and graphic. The open video market that enables consumers to buy and rent digital videos over Internet, is taking another important boost as video distribution is becoming available for people on the move. Now they can select, download and view various video types on their consumer electronics devices like mobile TV and video-playing iPods.
In light of these advances, video-content providers look at their daily demand for increased video storage as a valuable business assets and concern themselves with how to easily manage, quickly access, efficiently present, browse and distribute videos. I believe this book will provide solutions to most of these problems by presenting a framework of automatic methodologies for transforming conventional videos to interactive video formats. As opposed to manually decomposing, generating summaries, and locating highlights or events in a long surveillance video, this book will show which algorithms could be implemented to automatically perform such tasks without tedious, painful or expensive human interventions.
At the first glance of this book, reviewers suggested to use in the title the term media instead of video. While this suggestion is valid since video is a type of media, I believe that the term video is more appropriate here because most chapters are dealing with video images that in some cases are joined with synchronized audio and text captions like music videos, feature length movies, sports and news videos. Also, the emphasis I put on the word video is due in part to the fact that digital video is now the most popular medium in entertainment, teaching and surveillance, and yet it is still the most challenging data type to manage, at least automatically and in large quantity.
My intensive search on the web for a definition of interactive video was not very rewarding. It turned out that different people with different background shave their own definitions based on specific applications. That’s why I wrote a brief chapter that places the reader in the context of this book, and it defines the terms, components and steps of raw interactive video, interactive video presentation and interactive video database. This book tackles major topics of the first and third forms of interactive video, while only briefly mentioning the data integration and synchronization issues that users face in preparing interactive video presentations. Other specialized books on XML and media presentation could help readers in understanding these two issues more deeply.
While it appears that a large portion of this book is on algorithms with roots in computer vision, mathematics and statistics, I have strived in each chapter to include the motivations of the work from different angles and application areas of interactive video, present previous related work, show experimental results on various video types, and discuss interactivity aspects as well as users’ experiences with the developed application-driven interactive video technology. Throughout this book all chapters followed this style of presentation, however each one treated a different research topic and engineering problem. 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.
Introduction to Interactive Video.
Automatic Video Summarization.
Algorithms I.
Building Object-based Hyperlinks in Videos: Theory and Experiments.
Real Time Object Tracking in Video Sequences.
On Film Character Retrieval in Feature-Length Films.
Visual Audio: An Interactive Tool for Analyzing and Editing of Audio in the Spectrogram.
Algorithms II.
Interactive Video via Automatic Event Detection.
Bridging the Semantic-Gap in E-Learning Media Management.
Interactive Searching and Browsing of Video Archives: Using Text and Using Image Matching.
Locating Information in Video by Browsing and Searching.
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