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An Efficient Video Compression System Based on LSK Encoder

  • Conference paper
Book cover Computational Intelligence and Information Technology (CIIT 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 250))

Abstract

Video compression means reducing the size of data in order to represent the digital video images. The main goal of our research is to develop a robust video compression system. To begin with, wavelet decomposition is applied to the I-frame and using the Listless SPECK (LSK) algorithm, the resulting coefficients are quantized. Subsequently, an Adaptive Rood Search with Spatio-Temporal Correlation technique (ARS-ST) is employed for motion estimation. Finally, the difference between the original P-frame and the predicted P-frame is computed, which is referred as the residual. The proposed video compression technique is assessed by several videos and the effectiveness of compression is evaluated by measuring the PSNR values for the compression results.

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Author information

Authors and Affiliations

  1. Department of Electronics, SEA College of Engineering, Bangalore, India

    S. Anantha Padmanabhan

  2. Department of Electronics, SRI Krishna College of Engineering and Technology, Coimbatore, India

    S. Chandramathi

Authors
  1. S. Anantha Padmanabhan
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  2. S. Chandramathi
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Editor information

Editors and Affiliations

  1. The IDES, Ouderkerk aan de Amstel, Amsterdam, 1191 GT, Netherlands

    Vinu V Das

  2. College of Engineering, Trivandrum, Kerala, India

    Nessy Thankachan

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© 2011 Springer-Verlag Berlin Heidelberg

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Anantha Padmanabhan, S., Chandramathi, S. (2011). An Efficient Video Compression System Based on LSK Encoder. In: Das, V.V., Thankachan, N. (eds) Computational Intelligence and Information Technology. CIIT 2011. Communications in Computer and Information Science, vol 250. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25734-6_33

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  • DOI: https://doi.org/10.1007/978-3-642-25734-6_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25733-9

  • Online ISBN: 978-3-642-25734-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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