Interactive Video: Algorithms and Technologies

ISBN-13: 9783540332145 / Angielski / Twarda / 2006 / 250 str.

Riad I. Hammoud

Opis

This book is a groundbreaking resource that covers both algorithms and technologies of interactive videos. It presents recent research and application work for building and browsing interactive digital videos. The book deals mainly with low-level semi-automatic and full-automatic processing of the video content for intelligent human computer interaction. There is a special focus on eye tracking methods.

Spis treści

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.- Interfaces.- Interactive Searching and Browsing of Video Archives: Using Text and Using Image Matching.- Locating Information in Video by Browsing and Searching.

Blurb

This is a groundbreaking resource that covers both algorithms and technologies of interactive videos, so that businesses in IT and data managements, scientists, teachers, and software engineers in video processing and computer vision, coaches and instructors that use video technology in teaching, and finally end-users of hyper videos will greatly benefit from it. This comprehensive four part book contains excellent scientific and up-to-date contributions made by a number of pioneering scientists, futurists and experts in the field. The first part introduces the reader to interactive and hyper video rhetoric, algorithms and technologies. It also presents effective automatic audio-video summarization methodologies. In the second part, a list of advanced computer vision and signal processing algorithms and systems for automatic and semiautomatic analysis and editing of audio-video documents are presented. The third part tackles a more challenging level of the transformation from raw to enriched video format, filtering of the video content by extracting and linking of highlights, events, and meaningful semantic units. In particular, 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 is presented. The last part is reserved for interactive video searching engines, non-linear video content browsing and quick video navigational systems.