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Analysis, Retrieval and Delivery of Multimedia Content

  • Book
  • © 2013

Overview

  • Covers the latest technological advances in interactive multimedia services
  • Discusses the use of audio events for improving video scene segmentation
  • Examines video retrieval for multimedia repositories
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 158)

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Table of contents (16 chapters)

  1. Multimedia Content Analysis

  2. Multimedia content analysis

  3. Motion and Activity Analysis

  4. Motion and activity analysis

  5. High-Level Descriptors and Video Retrieval

  6. High-level descriptors and video retrieval

  7. 3D and Multi-View

  8. 3D and multi-view

  9. Multimedia Delivery

  10. Multimedia delivery

Keywords

About this book

Covering some of the most cutting-edge research on the delivery and retrieval of interactive multimedia content, this volume of specially chosen contributions provides the most updated perspective on one of the hottest contemporary topics. The material represents extended versions of papers presented at the 11th International Workshop on Image Analysis for Multimedia Interactive Services, a vital international forum on this fast-moving field.

 

Logically organized in discrete sections that approach the subject from its various angles, the content deals in turn with content analysis, motion and activity analysis, high-level descriptors and video retrieval, 3-D and multi-view, and multimedia delivery. The chapters cover the finest detail of emerging techniques such as the use of high-level audio information in improving scene segmentation and the use of subjective logic for forensic visual surveillance. On content delivery, the book examines both images and video, focusing on key subjects including an efficient pre-fetching strategy for JPEG 2000 image sequences. Further contributions look at new methodologies for simultaneous block reconstruction and provide a trellis-based algorithm for faster motion-vector decision making.

Editors and Affiliations

  • , DEA - Facoltà di Ingegneria, University of Brescia, Brescia, Italy

    Nicola Adami

  • , Elec. Engineering and Computer Science, Queen Mary University of London, London, United Kingdom

    Andrea Cavallaro

  • , DII - Facoltà di Ingegneria, University of Brescia, Brescia, Italy

    Riccardo Leonardi

  • , Department of Information Engineering, University of Brescia, Brescia, Italy

    Pierangelo Migliorati

About the editors

Dr. Adami is a professor at University of Brescia. Dr. Adami has published over 30 papers. Dr. Cavallaro is a professor at Queen Mary University of London. Dr. Leonardi and Dr. Migliorati are professors at the University of Brescia.

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