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Herausgeber: 
  • Riad Hammoud
  • Interactive Video: Algorithms and Technologies 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juni 2006  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Automated Pattern Recognition / B / Digital and Analog Signal Processing / Digitale Signalverarbeitung (DSP) / E-Learning / engineering / filtering / Grafische und digitale Media-Anwendungen
    ISBN:  9783540332145 
    EAN-Code: 
    9783540332145 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Signals and Communication Technology  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  1220 gr 
    Seiten:  250 
    Illustration:  XVI, 250 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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.

      



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