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ADAPTIVE INTERPOLATION FILTER FOR H.264/AVC Bhavana Prabhakar Student Id: 1000790889 Department of Electrical Engineering.

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Presentation on theme: "ADAPTIVE INTERPOLATION FILTER FOR H.264/AVC Bhavana Prabhakar Student Id: 1000790889 Department of Electrical Engineering."— Presentation transcript:

1 ADAPTIVE INTERPOLATION FILTER FOR H.264/AVC Bhavana Prabhakar Student Id: 1000790889 Department of Electrical Engineering

2 H.264/ Advanced Video Coding [18]

3 H.264/ADVANCED VIDEO CODING: Encoder block diagram H.264 [18]

4 H.264/ADVANCED VIDEO CODING: Decoder block diagram H.264 [18]

5 What is Adaptive Interpolation Filter [AIF] ? Interpolation process of (a) the filter in H.264/AVC, (b) the non-separable AIF, and (c) the separable AIF [16] = m times the sampling rate due to interpolation.

6 Integer samples (shaded blocks with upper-case letters) and fractional sample positions (non-shaded blocks with lower-case letters). Example for filter size 6 x6. [16]

7 1. Adaptive interpolation filter, which is independently estimated for every image. The filter coefficients, which are used for the calculation of the half-pel positions, are estimated iteratively using a numerical approach. The quarter-pel positions are calculated using a bilinear filter. [3] 2. 3-D filter- Combining two techniques[4]  2-D spatial filter  Motion compensated interpolation filter (MCIF) The main disadvantage of MCIF is the sensitivity concerning displacement vector estimation errors. Thus, the maximal bit-rate savings could not be achieved in case of quarter-pel motion accuracy.

8  The method is nondeterministic in terms of time and requires a significantly higher encoder complexity, i.e., the highest gains cannot be guaranteed given a particular increase of encoder complexity due to its numerical approach.  Besides aliasing, there are further distorting factors, which impair the efficiency of motion compensated prediction.  Motion blur typically occurs in video sequences when the relative motion between the camera and the objects in the scene being captured is faster than the camera exposure time allows.  Further distorting factors, caused by limited amplitude resolution of displacement vectors or by large quantization errors in the reference images, were analyzed in [3].

9  In order to guarantee a limited increase of encoder complexity compared to the standard H.264/AVC on the one hand and to reach the theoretical bound for the coding gain obtained by means of a 2-D filter on the other hand, a non-separable filter scheme is proposed. An individual filter shall be used for the interpolation of each fractional-pel position.  For all fractional-pel positions, the filter coefficients are estimated minimizing the prediction error energy, i.e., the squared difference between the original and the predicted image signals.

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12 An individual filter is to be used for the interpolation of each fractional-pel position The estimation of the coefficients and the motion compensation are performed in the steps given in [16] Filter coefficients are to be coded Filter coefficients are subject to quantization, followed by prediction and entropy coding The aliasing effects are minimized by suppressing the high- frequency components Steps to reduce blurring effects. STEPS TAKEN FOR IMPLEMENTATION OF AN AIF

13 AIF: Adaptive interpolation filter AVC: Advanced video coding BD – ROM: Blue ray disc – read only memory CIF: Common intermediate format HD – DVD: High definition - digital video disc ITU: International telecommunication union KTA: Key technical area MCIF: Motion compensated interpolation filter MPEG: Moving picture experts group VCEG: Video coding experts group

14 [1] JVT of ISO/IEC & ITU-T, Draft ITU-T Recommendation H.264 and Draft ISO/IEC 14496-10 AVC, Doc JVT-Go50. Pattaya, Thailand, 2003. [2] O. Werner, “Drift analysis and drift reduction for multi resolution hybrid video coding”, Signal processing: image commun., vol. 8, no. 5, pp. 387–409, Jul. 1996. [3] T. Wedi and H. G. Musmann, “Motion and aliasing compensated prediction for hybrid video coding”, IEEE Trans. circuits syst. video technol., vol. 13, no. 7, pp. 577–586, Jul. 2003. [4] T. Wedi, “Adaptive interpolation filter for motion and aliasing compensated prediction”, in Proc VCIP, San Jose, CA, USA, pp. 415–422, Jan. 2002. [5] M. Budagavi, “Video compression using blur compensation”, in Proc.IEEE ICIP, Genova, Italy, pp. 882–885, Sep. 2005. [6] R. E. Crochiere and L. R. Rabiner, “Multi-rate signal processing”, Englewood Cliffs, NJ: Prentice Hall, pp. 88–91, 1983. [7] R. W. Schaefer and A. V. Oppenheim, “Discrete-time signal processing”, Englewood Cliffs, NJ: Prentice-Hall, 1989. [8] T. Wiegand et al, “Overview of the H.264/AVC video coding standard”, IEEE Trans. circuits syst. video technol., vol. 13, no. 7, pp. 560-576, Jul. 2003. [9] Y. Vatis and J. Ostermann, “Locally adaptive non separable interpolation filter for H.264/AVC”, in Proc. IEEE ICIP, Atlanta, GA, pp. 33–36, Oct. 2006. [10] T.Wedi, “Adaptive interpolation filter for motion compensated prediction”, Proc. IEEE ICIP, Rochester, NY, pp. 509–512, Sep. 2002.

15 [11] H.264/AVC reference software version JM11.0 http://iphome.hhi.de/suehring/tml/download/old_jm/jm11.0.ziphttp://iphome.hhi.de/suehring/tml/download/old_jm/jm11.0.zip, Jan. 2007 [Online]. [12] KTA software, version JM11.0 KTA1.3. http://www.tnt.uni-hannover.de/~vatis/kta/jm11.0kta1.3.ziphttp://www.tnt.uni-hannover.de/~vatis/kta/jm11.0kta1.3.zip, Mar. 2007 [Online]. [13] Y. Vatis and J. Ostermann, “Prediction of P- and B-frames using a 2-D non-separable adaptive Wiener interpolation filter”,in ITU-T SG16/Q [15] (VCEG) Doc VCEG-AD08, Hangzhou, China, Oct. 2006. [14] Y. Vatis and J. Ostermann, ITU-T SG16/Q [15] (VCEG) VCEG-AE16, Marrakech, Morocco, Jan. 2007. [[15]] S. Wittman and T. Wedi, “Separable adaptive interpolation filter”,in ITU-T SG16/Q6, Doc. C-0219, Geneva, Switzerland, Jul. 2007. [16] Y. Vatis and J. Ostermann “Adaptive interpolation filter for H.264/AVC”, IEEE Trans. circuits syst. video technol., vol. 19, pp.179-192, Feb. 2009. [17] D. Rusanovskyy, K. Ugur, and J. Lainema, “Adaptive interpolation with directional filters”, in ITU-T SG16/Q.6 Doc. VCEG-AG21, Shenzhen,China, Oct. 2007. [18] D. Marpe, T. Wiegand and G. J. Sullivan, “The H.264/MPEG-4 AVC standard and its applications”, IEEE Communications Magazine, vol. 44, pp. 134-143, Aug. 2006. [19] T. Wiegand and G. J. Sullivan, “The picturephone is here:Really”, IEEE Spectrum, vol.48, pp. 50-54, Sep. 2011. [20] I. E. Richardson, “The H.264 Advanced Video Compression Standard”, 2nd Edition, Wiley 2010.


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