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High Definition Wearable Video Communication

  • Ulrik Söderström
  • Haibo Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5575)

Abstract

High definition (HD) video can provide video communication which is as crisp and sharp as face-to-face communication. Wearable video equipment also provide the user with mobility; the freedom to move. HD video requires high bandwidth and yields high encoding and decoding complexity when encoding based on DCT and motion estimation is used. We propose a solution that can drastically lower the bandwidth and complexity for video transmission. Asymmetrical principal component analysis can initially encode HD video into bitrates which are low considering the type of video (< 300 kbps) and after a startup phase the bitrate can be reduced to less than 5 kbps. The complexity for encoding and decoding of this video is very low; something that will save battery power for mobile devices. All of this is done only at the cost of lower quality in frame areas which aren’t considered semantically important.

Keywords

Discrete Cosine Transform Motion Estimation Video Frame Reconstruction Quality Video Communication 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ulrik Söderström
    • 1
  • Haibo Li
    • 1
  1. 1.Digital Media Lab, Dept. Applied Physics and ElectronicsUmeå UniversityUmeåSweden

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