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An Effective Technique for Video Compression based on Redundant Wavelet Transform through Selective Accuracy Algorithm

Affiliations

  • Department of Electronics and Communication, Mewar University, Chittorgarh – 312901, Rajasthan, India
  • ECE Department, Nawab Shah Alam Khan College of Engineering and Technology, Hyderabad – 500024, Telengana, India

Abstract


Objective: This paper proposes a novel video compression by employing a technique which compensates the motion through using the blocks in varying sizes. Methods/Statistical Analysis: The video compression is achieved through the means of each block which vary in size using an accuracy algorithm which is selective in nature. This is a considerable improvisation upon the traditional approach of a wavelet transformation. The RDWT retains the information of the phase in the wavelet transform and provides the predicted enumeration for ME/MC related to transform domain. Findings: This effort focuses more on a reconciliation scheme of separation along with the selection norm which employs the motion content of the frame in a more effective manner with respect to shape and size of each block. Results: The investigational outcomes proved the effectiveness of proposed MH-VBSMC in the angle of using less number of separation blocks. Application/Improvements: This technique uses less computational steps.

Keywords

Motion Compensation, Redundant Wavelet Transform, Variable Block Size, Video Compression

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References


  • Brahimi T, Boubchir L, Fournier R, Ali AN. An improved multimodal signal-image compression scheme with application to natural images and biomedical data. Multimedia Tools and Applications. Springer. 2016 Aug; 76(15):1–23.
  • Video Coding. Center for Signal and Information Processing Research. Georgia Institute of Technology.
  • Retrieved. 2013 Mar.
  • Pradhan A, Pati N, Rup S, Panda AS. A modified framework for Image compression using Burrows-Wheeler Transform. Computational Intelligence and Networks (CINE). Proceedings of 2nd International Conference on IEEE; 2016. p. 150–3. Crossref
  • Qureshi MA, Deriche M. A new wavelet based efficient video compression algorithm using compressive sensing. Multimedia Tools and Applications. Springer. 2016; 75(12):6737–54. Crossref
  • Shum HY, Kang SB, Chan SC. Survey of image-based representations and compression techniques. IEEE Transactions on Circuits and Systems for Video Technology. 2003; 13(11):1020–37. Crossref
  • Karimi N, Samavi S, Soroushmehr SR, Shirani S, Najarian K. Toward practical guideline for design of image compression algorithms for biomedical applications. Expert Systems with Applications. 2016; 56:360–7. Crossref
  • Orchard MT, Sullivan GJ. Overlapped block motion compensation: An estimation-theoretic approach. IEEE Transactions on Image Processing.1994; 3(5):693–9.
  • Zhang J, Omair M, Swamy M. A new variable size blocks motion compensation. Proceedings of International Conference on Image Processing.1997; 2:164–7.
  • Jong SL,Touradj E. Perceptual video compression: A survey. IEEE Journal of Selected Topics in Signal Processing. 2012 Oct; 6(6):684–97. Crossref
  • Zhihai H, Mitra SK. A linear source model and a unified rate control algorithm for DCT video coding. IEEE Transactions on Circuits and Systems for Video Technology. 2002 Nov; 12(11):970–82. Crossref
  • Sikora T. The MPEG-4 video standard verification model. IEEE Transactions on Circuits and Systems for Video Technology. 1997 Feb; 7(1):1–13.
  • Kim JW, Lee SU. Rate-distortion optimization between the hierarchical variable block size motion estimation and motion sequence coding. SPIE. 1995 Apr; 2501:822–33. Crossref
  • Lee J. Optimal quadtree for variable block size motion estimation. ICIP. 1996.
  • Ortega A, Ramchandran K. Rate-distortion methods for image and video compression. IEEE Signal Processing Magazine. 1998 Nov; 15(6):23–50. Crossref
  • Rohit P, Abhik M, Ramchandran K. PRISM: A video coding paradigm with motion estimation at the decoder. IEEE Transactions on Image Processing. 2007 Oct; 16(10):2436– 48. Crossref
  • Zhang J, Omair M, Swamy M. A new variable size block motion compensation. Proceedings of the IEEE. 1997; 2:164–7.
  • Jung J. Fast subpel motion estimation using selective motion vector accuracy of inter-mode decision for H 264/AVC. IEEE International Symposium on Industrial Electronics (ISlE 2009); Seoul Olympic Park Hotel, Seoul, Korea. 2009 Jul. p. 1656–61.
  • Said A, Pearlman WA. A new, fast and efficient image codec based on set partitioning in hierarchical trees. IEEE Transactions on Circuits and Systems for Video Technology. 1996; 6(3):243–50.
  • Park H, Kim H. Motion estimation using low band-shift method for wavelet-based moving picture coding. IEEE Transactions on Image Processing. 2000. 9(4):577–87.
  • Fowler JE. Analysis of redundant wavelet multi hypothesis for motion compensation. Proceedings of the IEEE Data Compression Conference; 2006 Mar. p. 352–61.

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