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 top specialists, provides a evaluation of the foundations, equipment and methods of significant and rising examine themes and applied sciences in photograph and video compression and multimedia.

With this reference resource you will:

  • Quickly grab a brand new region of analysis
  • Understand the underlying rules of a subject and its application
  • Ascertain how a subject matter pertains to different components and examine of the learn concerns but to be resolved
    • Quick educational stories of vital and rising subject matters of analysis in photograph and Video Compression and Multimedia
    • Comprehensive references to magazine articles and different literature on which to construct additional, extra particular and targeted knowledge
    • Edited by means of leading people in the sector who, via their recognition, were capable of fee specialists to jot down on a selected topic

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

    Sample text

    The purpose of motion estimation techniques is to recover this information by analyzing the image content. Efficient and accurate motion estimation is an essential component in the domains of image sequence analysis, computer vision, and video communications. In the context of image sequence analysis and computer vision, the objective of motion estimation algorithms is to precisely and faithfully model the motion in the scene. This information is fundamental for video understanding and object tracking.

    Moreover, a complex motion model does not allow for a compact representation of the motion information. 3 Region of support The region of support is the set of image pixels to which a motion model applies. We can distinguish the following four cases: • • Pixel-based: A motion vector is assigned to each pixel of the image, resulting in a dense motion field. It has the advantage to provide a precise description of the motion. However, from a video coding viewpoint, it entails a costly representation resulting in a large overhead for motion information.

    3. 10 Conclusions This chapter has introduced the requirements for, and applications of video compression. It has examined the architecture of a compression system in the context of modern communication systems and has shown that its design is often a compromise between coding rate, picture quality, and implementation complexity. The basic operation of a block-based motion compensated video encoding system has been described, explaining its major components, and its operating characteristics. Finally the justification for universal compression standards has been presented, and the performance of recent standards compared in terms of their rate-distortion characteristics.

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