Introduction to Video Search Engines

This book describes the current state of video search engine technology and details the opportunities to contribute to the development of this field. It brings readers up to date on the state of the art in multimedia search technologies and systems.

The evolution of technology has set the stage for the rapid growth of the video Web: broadband Internet access is ubiquitous, and streaming media protocols, systems, and encoding standards are mature. In addition to Web video delivery, users can easily contribute content captured on low cost camera phones and other consumer products. The media and entertainment industry no longer views these developments as a threat to their established business practices, but as an opportunity to provide services for more viewers in a wider range of consumption contexts. The emergence of IPTV and mobile video services offers unprecedented access to an ever growing number of broadcast channels and provides the flexibility to deliver new, more personalized video services. Highly capable portable media players allow us to take this personalized content with us, and to consume it even in places where the network does not reach. Video search engines enable users to take advantage of these emerging video resources for a wide variety of applications including entertainment, education and communications. However, the task of information extr- tion from video for retrieval applications is challenging, providing opp- tunities for innovation. This book aims to first describe the current state of video search engine technology and second to inform those with the req- site technical skills of the opportunities to contribute to the development of this field. Today's Web search engines have greatly improved the accessibility and therefore the value of the Web.

Understand the basics of the technologies used in today's video search engines

Learn which video indexing techniques are appropriate for given types of video material, and be able to decide on suitable methods for new video content types

Be able to differentiate between proven, practical techniques and those that are speculative, under development, or of narrow applicability

Be able to determine which topics in video search are of interest to them for further study

Because the book will:

Explain the overall process of video content acquisition, indexing and retrieval with browsing

Provide overviews of constituent technologies such as information retrieval, internet video systems, video and multimedia processing to extract index data

Give examples of existing systems and describe their features

Feature a companion website to provide links to internet resources

Includes supplementary material: sn.pub/extras

Autorentext

David Gibbon joined Bell Laboratories in 1985 and is currently a Lead Member of Technical Staff in the Video and Multimedia Services Research Department at AT&T Labs - Research. His research interests include multimedia processing for searching and browsing of video databases and real-time video processing for communications applications. David has written book chapters and encyclopedia articles as well as numerous technical papers; he has 40 US patent filings and holds 14 US patents in the areas of multimedia indexing, streaming, and video analysis; and he is a member of the ACM, and a senior member of the IEEE. David contributes to IPTV industry standards for metadata and in 2007 he was awarded the AT&T Science and Technology Medal for outstanding technical leadership and innovation in the field of Video and Multimedia Processing and Digital Content Management.Zhu Liu joined AT&T Labs - Research in 2000, and he is currently a Principal Member of Technical Staff in the Video and Multimedia Services Research Department. His research interests include multimedia content processing, multimedia databases, pattern recognition, and machine learning. Zhu holds 7 US patents and he is the inventor of more than 20 pending patents in the areas of multimedia service and content analysis. He has published more than 40 refereed papers in international leading journals and at key conferences in the areas of multimedia. He is a member of ACM and Tau Beta Pi, and a senior member of the IEEE.

Klappentext

Video search engines enable users to take advantage of constantly growing video resources like, for example, video on demand, Internet television and YouTube, for a wide variety of applications including entertainment, education and communications.

David Gibbon and Zhu Liu describe the current state of video search engine technology and inform us about opportunities to contribute to the development of this field. Their book has a practical emphasis with the goal of bringing readers up to date on the state of the art in multimedia search technologies and systems. It explains the overall process of video content acquisition, indexing and retrieval with browsing, it provides overviews of constituent technologies such as information retrieval, Internet video systems, video and multimedia processing to extract index data, and it gives examples of research prototypes and existing commercial systems and describes their features. In parallel with the functional discussion, a historical perspective is provided, including many references to academic and industrial sources. Background information on digital media encoding and streaming standards, and information retrieval is also offered, making the book self-contained.

Introduction to Video Search Engines is intended for professionals and senior undergraduates or first-year graduate students in computer science or computer engineering, specializing in computer vision or multimedia systems. As multimedia search spans multiple disciplines, it is also valuable as a state-of-the-art reference for researchers and developers working in constituent technologies such as speech processing or information retrieval who seek to broaden their knowledge beyond their current areas of expertise.

Inhalt
Video Search.- Video Data Sources and Applications.- Internet Video.- Video Search Engine Systems.- Media Processing.- Video Processing.- Audio Processing.- Text Processing.- Multimodal Processing.- Research Systems.- Current Trends in Video Search.