Download Academic Press Library in Signal Processing, Volume 5: Image by Sergios Theodoridis, Rama Chellappa PDF

By Sergios Theodoridis, Rama Chellappa

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

With this reference resource you will:

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

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

    Example text

    The reference memory is finally updated with the reconstructed frame: Sk = Ek . 2 Inter-mode encoding After the first intra-frame is encoded, the following frames in the GOP will be encoded in inter-mode and this is described below: 1. 2. 3. 4. 5. 6. 7. 8. The inter/intra switch is placed in the inter position. Firstly the motion vector for the current frame is estimated: d = ME(Sk , Sk−1 ). Next the motion compensated prediction frame, Pk , is formed: Pk = Sk−1 [p − d]. This is subtracted from the current frame to produce the displaced frame difference (DFD) signal: Ek = Sk − Pk .

    CHAPTER Motion Estimation—A Video Coding Viewpoint 2 Béatrice Pesquet-Popescu, Marco Cagnazzo, and Frédéric Dufaux Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI, 46 rue Barrault, 75634 Paris Cedex 13, France Nomenclature 2D 3D AE AVC DCT DFD DWT EE FFT FIR GMC GME HEVC HVS HSV IE IIR LMC LME LMedS LMS LTS MAE MB MC ME MPEG MSE MVF two-dimensional three-dimensional Angular Error Advanced Video Coding Discrete Cosine Transform Displaced Frame Difference Discrete Wavelet Transform Error in flow Endpoint Fast Fourier transform Finite Impulse Response Global Motion Compensation Global Motion Estimation High Efficiency Video Coding Human Visual System Hue, Saturation, Value Interpolation Error Infinite Impulse Response Local Motion Compensation Local Motion Estimation Least Median of Squares Least Mean Square Least-Trimmed Squares Mean Absolute Error MacroBlock Motion Compensation Motion Estimation Moving Picture Experts Group Mean Squared Error Motion Vector Field Academic Press Library in Signal Processing.

    Accurate motion is also important in some video processing tasks such as frame rate conversion or de-interlacing of television formats. As far as video coding is concerned, compression is achieved by exploiting data redundancies in both the spatial and temporal dimensions. , using the Discrete Cosine Transform (DCT) or the Discrete Wavelet Transform (DWT), which effectively compacts the signal energy into a few significant coefficients. In turn, temporal redundancies are reduced by means of predictive coding.

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