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A Fast Algorithm for Intra-prediction Mode Selection Based on Block Feature

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Intelligent Computing Theories and Applications (ICIC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7390))

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Abstract

H.264/AVC video coding has permeated into every aspect of life, a new proposal has been present, which calculate the variance of the eight elements of the block to delete prediction mode selection. But this algorithm is more suitable for smooth changes in the sequence of the images. Therefore, this paper proposes an improved algorithm for intra prediction mode selection to solve the problem mentioned above. Using this method on the ARMv4 phone platform into which has been transplanted the x264; the speed is 13.2% higher than original algorithm when only changing the 4×4 luminance blocks, while 4.86% than the new proposal mentioned abroad. The speed can be improved about 0.5 to 2 fps when I modify the 16×16 luminance and 8×8 chrominance blocks making another progress in intra-coding, bringing H.264/AVC more potential applications.

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References

  1. Kim, C.S., Qing, L., Kuo, C.C.J.: Fast Intra-Prediction Model Selection for H.264 Codec. In: SPIE International Symposium ITCOM, Orlando, Florida, vol. 5341, pp. 99–110. IEEE (2003)

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  2. Pan, X., Lin, S., Rahardja, K.P., Lim, Z.G., Li, D., Wu, S., Wu.: Fast Intra Mode Decision Algorithm for H.264/AVC Video Coding. In: 2004 International Conference Image Processing(ICIP 2004), vol. 2, pp. 781–784 (2004)

    Google Scholar 

  3. Cao, Y., Liu, N.Z., Cui, Z.G.: Fast Algorithm for Intra-Prediction Mode Selection in H.264/AVC Based on Edge Direction Histogram. Computer Technology and Development 18(5) (2008)

    Google Scholar 

  4. Kim, D.Y., Han, K.H., Lee, Y.L.: Sejong University, Sejong University, DMS Lab. Adaptive intra mode bit skip in Intra coding, AJ11 (2008)

    Google Scholar 

  5. Gary, J., Sullivan, J.R., Ohm, A.O., Edward, D., Anthony, V., Mauro, B.: Future of Video Coding and Transmission. IEEE Signal Processing Magazine, 76–82 (November 2006)

    Google Scholar 

  6. MPEG Organization. Call for Future Video, MPEG Workshops on Future, Directions in Video Compression, Busan (2005)

    Google Scholar 

  7. Feng, W.: Image and Video Compression and Its Trends. Oral talk at Huazhong University of Science and Technology (2008)

    Google Scholar 

  8. Steffen, K., Michael, E., Mathias, W.: Decoder Side Motion Vector Derivation. VCEG-AG11 (2007)

    Google Scholar 

  9. Torres, L., Kunt, M.: Second Generation Video Coding Techniques. In: Tores, L., Kunt, M. (eds.) Video Coding: The Second Generation Approach. Kluwer Academic, Norwell (1996)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Yang, J., Wang, Q. (2012). A Fast Algorithm for Intra-prediction Mode Selection Based on Block Feature. In: Huang, DS., Ma, J., Jo, KH., Gromiha, M.M. (eds) Intelligent Computing Theories and Applications. ICIC 2012. Lecture Notes in Computer Science(), vol 7390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31576-3_77

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  • DOI: https://doi.org/10.1007/978-3-642-31576-3_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31575-6

  • Online ISBN: 978-3-642-31576-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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