A New Object-Based Fractal Compression of Monocular and Stereo Video Sequences

  • Authors:

  • Kamel Belloulata;Zhu Shiping

  • Affiliations:

  • Département D'électronique, Faculté des Sciences de l'Ingénieur, BP89, Université Djillali Liabès de Sidi Bel Abbès, Algérie 22000;Department of Measurement Control & Information Technology, School of Instrumentation Science & Optoelectronics Engineering, BeiHang University, Beijing, P.R.China 100083

  • Venue:
  • ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
  • Year:
  • 2009

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Abstract

A novel object-based fractal monocular and stereo video compression scheme with quadtree-based motion and disparity compensation is proposed in this paper. Fractal coding is adopted and each object is encoded independently by a prior image segmentation alpha plane, which is defined exactly as in MPEG-4. The first n frames of right video sequence are encoded by using the Circular Prediction Mapping (CPM) and the remaining frames are encoded by using the Non Contractive Interframe Mapping (NCIM). The CPM and NCIM methods accomplish the motion estimation/compensation of right video sequence. According to the different coding or user requirements, the spatial correlations between the left and right frames can be explored by partial or full affine transformation quadtree-based disparity estimation/compensation, or simply by applying CPM/NCIM on left video sequence. The testing results with monocular and stereo video sequences provide promising performances at low bit rate coding. We believe it will be a powerful and efficient technique for the object-based monocular and stereo video sequences coding.