Read e-book online Academic Press Library in Signal Processing, Volume 5: Image PDF

By Sergios Theodoridis, Rama Chellappa

ISBN-10: 0124201490

ISBN-13: 9780124201491

ISBN-10: 0124201571

ISBN-13: 9780124201576

This 5th quantity, edited and authored via global prime specialists, provides a evaluation of the foundations, tools and strategies of vital and rising examine issues and applied sciences in picture and video compression and multimedia.

With this reference resource you will:

  • Quickly grab a brand new zone of analysis
  • Understand the underlying rules of a subject matter and its application
  • Ascertain how a subject pertains to different parts and research of the learn concerns but to be resolved
    • Quick educational studies of significant and rising issues of study in picture and Video Compression and Multimedia
    • Comprehensive references to magazine articles and different literature on which to construct additional, extra particular and distinct knowledge
    • Edited via leading people in the sector who, via their recognition, were in a position to fee specialists to write down on a selected topic

    Show description

    By Sergios Theodoridis, Rama Chellappa

    ISBN-10: 0124201490

    ISBN-13: 9780124201491

    ISBN-10: 0124201571

    ISBN-13: 9780124201576

    This 5th quantity, edited and authored via global prime specialists, provides a evaluation of the foundations, tools and strategies of vital and rising examine issues and applied sciences in picture and video compression and multimedia.

    With this reference resource you will:

    • Quickly grab a brand new zone of analysis
    • Understand the underlying rules of a subject matter and its application
    • Ascertain how a subject pertains to different parts and research of the learn concerns but to be resolved
      • Quick educational studies of significant and rising issues of study in picture and Video Compression and Multimedia
      • Comprehensive references to magazine articles and different literature on which to construct additional, extra particular and distinct knowledge
      • Edited via leading people in the sector who, via their recognition, were in a position to fee specialists to write down on a selected topic

      Show description

      Read Online or Download Academic Press Library in Signal Processing, Volume 5: Image and Video Compression and Multimedia PDF

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      Additional info for Academic Press Library in Signal Processing, Volume 5: Image and Video Compression and Multimedia

      Sample text

      Ck is then inverse quantized and inverse DCT’d to produce the decoded DFD pixel values: Ek = DCT−1 (Q −1 (Ck )). 9 The block-based motion-compensated video decoder. Reference memory 22 CHAPTER 1 An Introduction to Video Coding 4. Next the motion compensated prediction frame, Pk , is formed: Pk = Sk−1 [p − d]. 5. Finally the reference memory is updated with the reconstructed frame and this is also output to a file or display: Sk = Ek + Pk . 9 Standardization of video coding systems Standardization of image and video formats and compression methods has been instrumental in the success and universal adoption of video technology.

      3 Comparison of Video Coding Standards for Entertainment Applications. 2 Further extensions to video compression standards have been developed that enable the efficient processing of new formats, in particular more immersive formats such as stereoscopic 3-D. The compression challenges and architectures associated with stereoscopic and multiview coding are described in detail in Chapter 4. 2 The performance of current standards An excellent comparison of coding standards is provided by Ohm et al.

      A first-order Taylor expansion of the motion model defined in Eq. 2) leads to: ∂f (x, y, t) − ∂x + o(| x| + | y|). 3) Let us define the displacement vector D as D= x y . 4) We remark that the vector containing the partial derivatives of the illumination field f with respect to the coordinates x and y is nothing else than the spatial gradient of the image, ⎞ ⎛ ∂f (x, y, t) ⎟ ⎜ ∂x ⎟. 6) where D(x, y)T ∇ f (x, y, t) is the inner product of the two vectors. Now, we define the velocity vector field in the sequence, also called optical flow, as: V = u v = lim T →0 D .

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      Academic Press Library in Signal Processing, Volume 5: Image and Video Compression and Multimedia by Sergios Theodoridis, Rama Chellappa


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