Includes bibliographical references and index.

Foreword ix -- Alan F. Smeaton -- Preface xiii -- Mark T. Maybury -- Acknowledgments xv -- Contributors xvii -- 1 Introduction 1 -- Mark T. Maybury -- 2 Multimedia Information Extraction: History And State Of The Art 13 -- Mark T. Maybury -- Section 1 Image Extraction 41 -- 3 Visual Feature Localization For Detecting Unique Objects In Images 45 -- Madirakshi Das, Alexander C. Loui, And Andrew C. Blose -- 4 Entropy-based Analysis Of Visual And Geolocation Concepts In Images 63 -- Keiji Yanai, Hidetoshi Kawakubo, And Kobus Barnard -- 5 The Meaning Of 3d Shape And Some Techniques To Extract It 81 -- Sven Havemann, Torsten Ullrich, And Dieter W. Fellner -- 6 A Data-driven Meaningful Representation Of Emotional Facial Expressions 99 -- Nicolas Stoiber, Gaspard Breton, And Renaud Seguier -- Section 2 Video Extraction 113 -- 7 Visual Semantics For Reducing False Positives In Video Search 119 -- Rohini K. Srihari And Adrian Novischi -- 8 Automated Analysis Of Ideological Bias In Video 129 -- Wei-hao Lin And Alexander G. Hauptmann -- 9 Multimedia Information Extraction In A Live Multilingual News Monitoring System 145 -- David D. Palmer, Marc B. Reichman, And Noah White -- 10 Semantic Multimedia Extraction Using Audio And Video 159 -- Evelyne Tzoukermann, Geetu Ambwani, Amit Bagga, Leslie Chipman, Anthony R. Davis, Ryan Farrell, David Houghton, Oliver Jojic, Jan Neumann, Robert Rubinoff, Bageshree Shevade, And Hongzhong Zhou -- 11 Analysis Of Multimodal Natural Language Content In Broadcast Video 175 -- Prem Natarajan, Ehry Macrostie, Rohit Prasad, And Jonathan Watson -- 12 Web-based Multimedia Information Extraction Based On Social Redundancy 185 -- Jose San Pedro, Stefan Siersdorfer, Vaiva Kalnikaite, And Steve Whittaker -- 13 Information Fusion And Anomaly Detection With Uncalibrated Cameras In Video Surveillance 201 -- Erhan Baki Ermis, Venkatesh Saligrama, And Pierre-marc Jodoin -- Section 3 Audio, Graphics, And Behavior Extraction 217.

14 Automatic Detection, Indexing, And Retrieval Of Multiple Attributes From Cross-lingual Multimedia Data 221 -- Qian Hu, Fred J. Goodman, Stanley M. Boykin, Randall K. Fish, Warren R. Greiff, Stephen R. Jones, And Stephen R. Moore -- 15 Information Graphics In Multimodal Documents 235 -- Sandra Carberry, Stephanie Elzer, Richard Burns, Peng Wu, Daniel Chester, And Seniz Demir -- 16 Extracting Information From Human Behavior 253 -- Fabio Pianesi, Bruno Lepri, Nadia Mana, Alessandro Cappelletti, And Massimo Zancanaro -- Section 4 Affect Extraction From Audio And Imagery 269 -- 17 Retrieval Of Paralinguistic Information In Broadcasts 273 -- BjŠorn Schuller, Martin WŠollmer, Florian Eyben, And Gerhard Rigoll -- 18 Audience Reactions For Information Extraction About Persuasive Language In Political Communication 289 -- Marco Guerini, Carlo Strapparava, And Oliviero Stock -- 19 The Need For Affective Metadata In Content-based Recommender Systems For Images 305 -- Marko Tkaleie, Jurij Tasie, And Andrej Ko�sir -- 20 Affect-based Indexing For Multimedia Data 321 -- Gareth J. F. Jones And Ching Hau Chan -- Section 5 Multimedia Annotation And Authoring 347 -- 21 Multimedia Annotation, Querying, And Analysis In Anvil 351 -- Michael Kipp -- 22 Toward Formalization Of Display Grammar For Interactive Media Production With Multimedia Information Extraction 369 -- Robin Bargar -- 23 Media Authoring With Ontological Reasoning: Use Case For Multimedia Information Extraction 385 -- Insook Choi -- 24 Annotating Significant Relations On Multimedia Web Documents 401 -- Matusala Addisu, Danilo Avola, Paola Bianchi, Paolo Bottoni, Stefano Levialdi, And Emanuele Panizzi -- Abbreviations And Acronyms 419 -- References 425 -- Index 461.

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The definitive guide to the state of the art of multimedia information extractionGovernment analysts, think tank researchers, managers at top websites-basically everyone-is searching for the best ways to access and exploit the vast amounts of multimedia data made available over large networks every day. Written by an international team of experts, Multimedia Information Extraction provides a detailed road map to how that's done.The first book to address not only multimedia retrieval but also information extraction from and across media, it offers diverse perspectives on how this emerging technology can help meet the growing demand in industry and government for stock media access, media preservation, broadcast news retrieval, identity management, video surveillance, and more.Including a Foreword by Professor Alan Smeaton, founding coordinator of the international TRECVid, Multimedia Information Extraction covers:. The fundamental issues in processing and multimedia source extraction. The history and state of the art of multimedia information extraction. Image and video extraction, with tools ranging from visual feature localization to social redundancy. Affect extraction in audio and imagery, from paralinguistic information retrieval to affect-based indexing. Multimedia annotation and authoringAn inspiring, much-needed resource for researchers and developers in government, industry, and academia, this book also offers guidance on using the material in the core curriculum of ACM SIGCHI, ACM/IEEE Computer Science, and ACM/IEEE Information Technology.

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