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Autor(en): 
  • I-Jong Lin
  • S Y Kung
  • Video Object Extraction and Representation: Theory and Applications 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  September 2000  
    Genre:  EDV / Informatik 
     
    COMPUTERS / Computer Graphics / COMPUTERS / Computer Vision & Pattern Recognition / COMPUTERS / Interactive & Multimedia / COMPUTERS / Optical Data Processing / Digitale Signalverarbeitung (DSP) / Elektronik / Elektrotechnik / Grafikprogrammierung
    ISBN:  9780792379744 
    EAN-Code: 
    9780792379744 
    Verlag:  Springer Us 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #584 - The Springer International Series in Engineering and Computer Science  
    Dimensionen:  H 241 mm / B 160 mm / D 16 mm 
    Gewicht:  465 gr 
    Seiten:  177 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    ¿If you have built castles in the air, your work need not be lost; that is where they should be. Now put the foundations under them. ¿ - Henry David Thoreau, Walden Although engineering is a study entrenched firmly in belief of pr- matism, I have always believed its impact need not be limited to pr- matism. Pragmatism is not the boundaries that define engineering, just the (sometimes unforgiving) rules by which we sight our goals. This book studies two major problems of content-based video proce- ing for a media-based technology: Video Object Plane (VOP) Extr- tion and Representation, in support of the MPEG-4 and MPEG-7 video standards, respectively. After reviewing relevant image and video p- cessing techniques, we introduce the concept of Voronoi Ordered Spaces for both VOP extraction and representation to integrate shape infor- tion into low-level optimization algorithms and to derive robust shape descriptors, respectively. We implement a video object segmentation system with a novel surface optimization scheme that integrates Voronoi Ordered Spaces with existing techniques to balance visual information against predictions of models of a priori information. With these VOPs, we have explicit forms of video objects that give users the ability to - dress and manipulate video content. We outline a general methodology of robust data representation and comparison through the concept of complex partitioning mapped onto Directed Acyclic Graphs (DAGs).

      



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