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HEVC üzerinde düşük Bit-Derinliğine sahip hareket kestirim yöntemlerinin başarımlarının değerlendirilmesi

Year 2019, Volume: 34 Issue: 2, 785 - 800, 23.05.2019
https://doi.org/10.17341/gazimmfd.416537

Abstract

Bu çalışmada düşük bit derinliği gösterimi temeli hareket kestirimi yaklaşımlarının en güncel video kodlama standardı olan HEVC üzerinde detaylı bir karşılaştırmalı analiz gerçekleştirilmiştir. Böylelikle geçmişte çoğunlukla açık çevrim performans değerlendirmesine tabii tutulan bu yaklaşımların bir kodlayıcı içerisindeki gerçek performansı ortaya çıkarılmıştır. Bunun yanı sıra, düşük bit‑derinliği gösterimi temelli hareket kestirim yaklaşımlarının daha da hızlandırılması için seyrek arama yaklaşımları ile tümleştirerek HEVC üzerine uygulanması literatürde ilk kez incelenmiştir. Bu inceleme sonucunda HEVC referans yazılımında kullanılan TZS isimli algoritmanın düşük-bit derinliğindeki görüntüler üzerinde kullanımı durumunda performans kaybı oluşacağı çıkarılmıştır.

References

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  • Wiegand T., Ohm J. R., Sullivan G. J., Han W.-J., Joshi R., Tan T. K., Ugur K., Special section on the joint call for proposals on High Efficiency Video Coding (HEVC) standardization, IEEE Transactions on Circuits and Systems for Video Technology, 20(12), 1661–1666, 2010.
  • Sullivan G. J., Ohm J. R., Han W.-J., Wiegand T., Overview of the High Efficiency Video Coding (HEVC) standard, IEEE Transactions on Circuits and Systems for Video Technology, 22(12), 1648–1667, 2012.
  • Tourapis A. M., Enhanced predictive zonal search for single and multiple frame motion estimation, Visual Communications and Image Processing 4671, 1069-1079, 2002.
  • Tang X., Dai S., Cai C., An analysis of TZ search algorithm in JMVC, International Conference on Green Circuits and Systems (ICGCS), 516-520, 2010.
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  • Po L.-M., Ma W.-C., A novel four-step search algorithm for fast block motion estimation, IEEE Transactions on Circuits and Systems for Video Technology, 6(3), 313-317, 1996.
  • Zhu S., Ma K. K., A new diamond search algorithm for fast block-matching motion estimation, IEEE Transactions on Image Processing, 9(2), 287-290, 2000.
  • Zhu C., Lin X., Chau L.-P., Hexagon-based search pattern for fast block motion estimation, IEEE Transactions on Circuits and Systems for Video Technology, 12(5), 349-355, 2002.
  • Natarajan B., Bhaskaran V., Konstantinides K., Low-complexity block-based motion estimation via one-bit transforms, IEEE Transactions on Circuits and Systems for Video Technology, 7(4), 702-706, 1997.
  • Ertürk A., Ertürk S., Two bit transform for binary block motion estimation, IEEE Transactions On Circuits and Systems for Video Technology, 15(7), 938-946, 2005.
  • Ertürk S., Multiplication-free one-bit transform for low-complexity block-based motion estimation, IEEE Signal Processing Letters, 14(2), 109-112, 2007.
  • Urhan O., Ertürk S., Constrained one-bit transform for low-complexity block motion estimation, IEEE Transactions On Circuits and Systems for Video Technology, 17(4), 478-482, 2007.
  • Çelebi A., Akbulut O., Urhan O., Ertürk S., Truncated gray-coded bit-plane matching based motion estimation and its hardware architecture, IEEE Transactions on Consumer Electronics, 55(3), 1530-1536, 2009.
  • Yavuz, S., Çelebi, A., Aslam, M., Urhan, O., Selective Gray-Coded Bit-Plane Based Low Complexity Motion Estimation and its Hardware Architecture, IEEE Transactions on Consumer Electronics, 62(1), 76-84, 2016.
  • Aslam M., Çelebi A., Efficient hardware architecture for selective gray coded bit plane based low complexity motion estimation, Gazi University Journal of Science, 30(1), 69-78, 2017.
  • Choi, C., Jeong, J., Enhanced two-bit transform based motion estimation via extension of matching criterion, IEEE Transactions on Consumer Electronics, 56 (3), 1883-1889, 2010.
  • Güllü M. K, Weighted constrained one-bit transform based fast block motion estimation, IEEE Transactions on Consumer Electronics, 57(2), 751-755, 2011.
  • Song C.-M., Guo Y., Wang X.-H, Liu D., Fuzzy quantization based bit transform for low bit-resolution motion estimation, Signal Processing: Image Communication, 28(10), 1435-1447, 2013.
  • Lee, S., Jeon, G., Jeong, G., Fast motion estimation based on enhanced constrained one-bit transform, Electronics Letters, 50(10), 746–748, 2014.
  • Lee H., Jeong J., Early termination scheme for binary block motion estimation, IEEE Transactions on Consumer Electronics, 53(4), 1682-1686, 2007.
  • Lee H., Jin S., Jeong J., Early termination algorithm for 2bt block motion estimation, Electronics Letters, 45(8), 403-405, 2009.
  • Urhan O., Constrained one-bit transform based motion estimation using predictive hexagonal pattern, Journal of Electronic Imaging, 16(3), 033019, 2007.
  • Urhan O., Constrained one-bit transform based fast block motion estimation using adaptive search range, IEEE Transactions on Consumer Electronics, 56(3), 1868–1871, 2010.
  • Kim I., Kim J., Jeon G., Jeong J., Low-complexity block-based motion estimation algorithm using adaptive search range adjustment, Optical Engineering, 51(6), 067010, 2012.
  • Urhan O., Truncated gray-coding based fast block motion estimation, Journal of Electronic Imaging, 22(2), 023018, 2013.
  • Kim I., Jeong J., Binary block motion estimation using an adaptive search range adjustment technique, Journal of Automation and Control Engineering, 2(4), 376-380, 2014.
  • Telatar Z., Fast motion estimation in video sequences by edge detection, Journal of the Faculty of Engineering and Architecture of Gazi University, 24(2), 245-255, 2009.
Year 2019, Volume: 34 Issue: 2, 785 - 800, 23.05.2019
https://doi.org/10.17341/gazimmfd.416537

Abstract

References

  • He Z.-L., Tsui C.-Y., Chan K.-K., Liou M. L., Low-Power VLSI design for motion estimation using adaptive pixel truncation, IEEE Transactions on Circuits and Systems for Video Technology, 10(5), 669–678, 2000.
  • Wiegand T., Ohm J. R., Sullivan G. J., Han W.-J., Joshi R., Tan T. K., Ugur K., Special section on the joint call for proposals on High Efficiency Video Coding (HEVC) standardization, IEEE Transactions on Circuits and Systems for Video Technology, 20(12), 1661–1666, 2010.
  • Sullivan G. J., Ohm J. R., Han W.-J., Wiegand T., Overview of the High Efficiency Video Coding (HEVC) standard, IEEE Transactions on Circuits and Systems for Video Technology, 22(12), 1648–1667, 2012.
  • Tourapis A. M., Enhanced predictive zonal search for single and multiple frame motion estimation, Visual Communications and Image Processing 4671, 1069-1079, 2002.
  • Tang X., Dai S., Cai C., An analysis of TZ search algorithm in JMVC, International Conference on Green Circuits and Systems (ICGCS), 516-520, 2010.
  • Koga T., Linuma K., Hirano A., Lijima Y., Ishiguro T., Motion compensated interframe coding for video conferencing, National Telecommunication Conference Proceedings, G5.3.1-5.3.5, 1981.
  • R. Li, B. Zeng, M. Liou, A new three-step search algorithm for block motion estimation, IEEE Transactions on Circuits and Systems for Video Technology, 4(4), 438–442, 1994.
  • Po L.-M., Ma W.-C., A novel four-step search algorithm for fast block motion estimation, IEEE Transactions on Circuits and Systems for Video Technology, 6(3), 313-317, 1996.
  • Zhu S., Ma K. K., A new diamond search algorithm for fast block-matching motion estimation, IEEE Transactions on Image Processing, 9(2), 287-290, 2000.
  • Zhu C., Lin X., Chau L.-P., Hexagon-based search pattern for fast block motion estimation, IEEE Transactions on Circuits and Systems for Video Technology, 12(5), 349-355, 2002.
  • Natarajan B., Bhaskaran V., Konstantinides K., Low-complexity block-based motion estimation via one-bit transforms, IEEE Transactions on Circuits and Systems for Video Technology, 7(4), 702-706, 1997.
  • Ertürk A., Ertürk S., Two bit transform for binary block motion estimation, IEEE Transactions On Circuits and Systems for Video Technology, 15(7), 938-946, 2005.
  • Ertürk S., Multiplication-free one-bit transform for low-complexity block-based motion estimation, IEEE Signal Processing Letters, 14(2), 109-112, 2007.
  • Urhan O., Ertürk S., Constrained one-bit transform for low-complexity block motion estimation, IEEE Transactions On Circuits and Systems for Video Technology, 17(4), 478-482, 2007.
  • Çelebi A., Akbulut O., Urhan O., Ertürk S., Truncated gray-coded bit-plane matching based motion estimation and its hardware architecture, IEEE Transactions on Consumer Electronics, 55(3), 1530-1536, 2009.
  • Yavuz, S., Çelebi, A., Aslam, M., Urhan, O., Selective Gray-Coded Bit-Plane Based Low Complexity Motion Estimation and its Hardware Architecture, IEEE Transactions on Consumer Electronics, 62(1), 76-84, 2016.
  • Aslam M., Çelebi A., Efficient hardware architecture for selective gray coded bit plane based low complexity motion estimation, Gazi University Journal of Science, 30(1), 69-78, 2017.
  • Choi, C., Jeong, J., Enhanced two-bit transform based motion estimation via extension of matching criterion, IEEE Transactions on Consumer Electronics, 56 (3), 1883-1889, 2010.
  • Güllü M. K, Weighted constrained one-bit transform based fast block motion estimation, IEEE Transactions on Consumer Electronics, 57(2), 751-755, 2011.
  • Song C.-M., Guo Y., Wang X.-H, Liu D., Fuzzy quantization based bit transform for low bit-resolution motion estimation, Signal Processing: Image Communication, 28(10), 1435-1447, 2013.
  • Lee, S., Jeon, G., Jeong, G., Fast motion estimation based on enhanced constrained one-bit transform, Electronics Letters, 50(10), 746–748, 2014.
  • Lee H., Jeong J., Early termination scheme for binary block motion estimation, IEEE Transactions on Consumer Electronics, 53(4), 1682-1686, 2007.
  • Lee H., Jin S., Jeong J., Early termination algorithm for 2bt block motion estimation, Electronics Letters, 45(8), 403-405, 2009.
  • Urhan O., Constrained one-bit transform based motion estimation using predictive hexagonal pattern, Journal of Electronic Imaging, 16(3), 033019, 2007.
  • Urhan O., Constrained one-bit transform based fast block motion estimation using adaptive search range, IEEE Transactions on Consumer Electronics, 56(3), 1868–1871, 2010.
  • Kim I., Kim J., Jeon G., Jeong J., Low-complexity block-based motion estimation algorithm using adaptive search range adjustment, Optical Engineering, 51(6), 067010, 2012.
  • Urhan O., Truncated gray-coding based fast block motion estimation, Journal of Electronic Imaging, 22(2), 023018, 2013.
  • Kim I., Jeong J., Binary block motion estimation using an adaptive search range adjustment technique, Journal of Automation and Control Engineering, 2(4), 376-380, 2014.
  • Telatar Z., Fast motion estimation in video sequences by edge detection, Journal of the Faculty of Engineering and Architecture of Gazi University, 24(2), 245-255, 2009.
There are 29 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Makaleler
Authors

Ramazan Duvar This is me

Ayhan Küçükmanisa

Orhan Akbulut

Aysun Taşyapı Çelebi This is me

Oğuzhan Urhan

Publication Date May 23, 2019
Submission Date December 18, 2017
Published in Issue Year 2019 Volume: 34 Issue: 2

Cite

APA Duvar, R., Küçükmanisa, A., Akbulut, O., Taşyapı Çelebi, A., et al. (2019). HEVC üzerinde düşük Bit-Derinliğine sahip hareket kestirim yöntemlerinin başarımlarının değerlendirilmesi. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 34(2), 785-800. https://doi.org/10.17341/gazimmfd.416537
AMA Duvar R, Küçükmanisa A, Akbulut O, Taşyapı Çelebi A, Urhan O. HEVC üzerinde düşük Bit-Derinliğine sahip hareket kestirim yöntemlerinin başarımlarının değerlendirilmesi. GUMMFD. May 2019;34(2):785-800. doi:10.17341/gazimmfd.416537
Chicago Duvar, Ramazan, Ayhan Küçükmanisa, Orhan Akbulut, Aysun Taşyapı Çelebi, and Oğuzhan Urhan. “HEVC üzerinde düşük Bit-Derinliğine Sahip Hareket Kestirim yöntemlerinin başarımlarının değerlendirilmesi”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 34, no. 2 (May 2019): 785-800. https://doi.org/10.17341/gazimmfd.416537.
EndNote Duvar R, Küçükmanisa A, Akbulut O, Taşyapı Çelebi A, Urhan O (May 1, 2019) HEVC üzerinde düşük Bit-Derinliğine sahip hareket kestirim yöntemlerinin başarımlarının değerlendirilmesi. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 34 2 785–800.
IEEE R. Duvar, A. Küçükmanisa, O. Akbulut, A. Taşyapı Çelebi, and O. Urhan, “HEVC üzerinde düşük Bit-Derinliğine sahip hareket kestirim yöntemlerinin başarımlarının değerlendirilmesi”, GUMMFD, vol. 34, no. 2, pp. 785–800, 2019, doi: 10.17341/gazimmfd.416537.
ISNAD Duvar, Ramazan et al. “HEVC üzerinde düşük Bit-Derinliğine Sahip Hareket Kestirim yöntemlerinin başarımlarının değerlendirilmesi”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 34/2 (May 2019), 785-800. https://doi.org/10.17341/gazimmfd.416537.
JAMA Duvar R, Küçükmanisa A, Akbulut O, Taşyapı Çelebi A, Urhan O. HEVC üzerinde düşük Bit-Derinliğine sahip hareket kestirim yöntemlerinin başarımlarının değerlendirilmesi. GUMMFD. 2019;34:785–800.
MLA Duvar, Ramazan et al. “HEVC üzerinde düşük Bit-Derinliğine Sahip Hareket Kestirim yöntemlerinin başarımlarının değerlendirilmesi”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, vol. 34, no. 2, 2019, pp. 785-00, doi:10.17341/gazimmfd.416537.
Vancouver Duvar R, Küçükmanisa A, Akbulut O, Taşyapı Çelebi A, Urhan O. HEVC üzerinde düşük Bit-Derinliğine sahip hareket kestirim yöntemlerinin başarımlarının değerlendirilmesi. GUMMFD. 2019;34(2):785-800.