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Chromatic framework for quantum movies and applications in creating montages

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Abstract

A framework that introduces chromatic considerations to earlier descriptions of movies on quantum computers is proposed. This chromatic framework for quantum movies (CFQM) integrates chromatic components of individual frames (each a multi-channel quantum image - MCQI state) that make up the movie, while each frame is tagged to a time component of a quantum register (i.e., a movie strip). The formulation of the CFQM framework and properties inherent to the MCQI images facilitate the execution of a cortege of carefully formulated transformations including the frame-to-frame (FTF), color of interest (COI), and subblock swapping (SBS) operations that are not realizable on other quantum movie formats. These innovative transformations are deployed in the creation of digital movie-like montages on the CFQM framework. Future studies could explore additional MCQI-related operations and their use to execute more advanced montage applications.

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References

  1. Yan F, Iliyasu A M, Venegas-Andraca S E. A survey of quantum image representations. Quantum information Processing, 2016, 15(1): 1–35

    Article  MathSciNet  MATH  Google Scholar 

  2. Vlasov A Y. Quantum computations and images recognition. 1997, arXiv: quant-ph/9703010

    Google Scholar 

  3. Iliyasu A M, Yan F, Hirota K. Metric for estimating congruity between quantum images. Entropy, 2016, 18(10): 360

    Article  Google Scholar 

  4. Beach G, Lomont C, Cohen C. Quantum image processing (QuIP). In: Proceedings of the 32nd Applied Imagery Pattern Recognition Workshop. 2003, 39–44

    Google Scholar 

  5. Venegas-Andraca S E, Bose S. Storing, processing, and retrieving an image using quantum mechanics. In: Proceedings of SPIE Conference on Quantum Information and Computation. 2003, 134–147

    Google Scholar 

  6. Latorre J I. Image compression and entanglement. 2005, arXiv: quantph/0510031

    Google Scholar 

  7. Le P Q, Dong F Y, Hirota K. A flexible representation of quantum images for polynomial preparation, image compression, and processing operations. Quantum Information Processing, 2011, 10(1): 63–84

    Article  MathSciNet  MATH  Google Scholar 

  8. Iliyasu A M. Towards realising secure and efficient image and video processing applications on quantum computers. Entropy, 2013, 15: 2874–2974

    Article  MathSciNet  MATH  Google Scholar 

  9. Yan F, Iliyasu A M, Le P Q. Quantum image processing: A review of advances in its security technologies. International Journal of Quantum Information, 2017, 15: 1730001

    Article  MathSciNet  MATH  Google Scholar 

  10. Iliyasu A M, Le P Q, Dong F Y, Hirota K. A framework for representing and producing movies on quantum computers. International Journal of Quantum Information, 2011, 9(6): 1459–1497

    Article  MATH  Google Scholar 

  11. Sun B, Le P Q, Iliyasu A M, Yan F, Garcia J A, Dong F Y, Hirota K. A multi-channel representation for images on quantum computers using the RGBα color space. In: Proceedings of the 7th IEEE International Symposium on Intelligent Signal Processing, 2011, 1–6

    Google Scholar 

  12. Yan F, Iliyasu A M, Venegas-Andraca S E, Yang H M. Video encryption and decryption on quantum computers. International Journal of Theoretical Physics, 2015, 54(8): 2893–2904

    Article  MathSciNet  MATH  Google Scholar 

  13. Yan F, Iliyasu A M, Yang H M, Hirota K. Strategy for quantum image stabilization. Science China Information Sciences, 2016, 59: 052102

    Article  Google Scholar 

  14. Yan F, Iliyasu A M, Khan A R, Yang H M. Measurements-based moving target detection in quantum video. International Journal of Theoretical Physics, 2016, 55(4): 2162–2173

    Article  MATH  Google Scholar 

  15. Jing G M, Hu Y T, Guo Y W, Yu Y Z, Wang W P. Content-aware video2comics with manga-style layout. IEEE Transactions on Multimedia, 2015, 17(12): 2122–2133

    Article  Google Scholar 

  16. Liao Z C, Yu Y Z, Gong B C, Cheng L C. Audeosynth: music-driven video montage. ACM Transactions on Graphics, 2015, 34(4): 1–10

    Article  Google Scholar 

  17. Yan F, Iliyasu A M, Sun B, Venegas-Andraca S E, Dong F Y, Hirota K. A duple watermarking strategy for multi-channel quantum images. Quantum Information Processing, 2015, 14(5): 1675–1692

    Article  MathSciNet  MATH  Google Scholar 

  18. Yan F, Guo Y M, Iliyasu A M, Jiang Z G, Yang H M. Multi-channel quantum image scrambling. Journal of Advanced Computational Intelligence and Intelligent Informatics, 2016, 20(1): 163–170

    Article  Google Scholar 

  19. Sun B, Le P Q, Iliyasu A M, Yan F, Garcia J A, Dong F Y, Al-Asmari A K, Hirota K. Multi-channel information operations on quantum images. Journal of Advanced Computational Intelligence and Intelligent Informatics, 2014, 18(2): 140–149

    Article  Google Scholar 

  20. Nielsen M A, Chuang I L. Quantum computation and quantum information. Cambridge: Cambridge University Press, 2000

    MATH  Google Scholar 

  21. Iliyasu A M, Le P Q, Dong F Y, Hirota K. Watermarking and authentication of quantum images based on restricted geometric transformations. Information Sciences, 2012, 186(1): 126–149

    Article  MathSciNet  MATH  Google Scholar 

  22. Le P Q, Iliyasu A M, Dong F Y, Hirota K. Strategies for designing geometric transformations on quantum images. Theoretical Computer Science, 2011, 412(15): 1406–1418

    Article  MathSciNet  MATH  Google Scholar 

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Acknowledgements

The authors appreciate the insightful criticisms from the anonymous reviewers, which were responsible for enhancing the overall quality of the manuscript. This work was sponsored by the Prince Sattam Bin Abdulaziz University via the Deanship for Scientific Research Grant for CISS Research Group Project (2016/01/6441).

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Authors and Affiliations

  1. School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, 130022, China

    Fei Yan, Sihao Jiao, Abdullah M. Iliyasu & Zhengang Jiang

  2. Electrical Engineering Department, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia

    Abdullah M. Iliyasu

Authors
  1. Fei Yan
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  2. Sihao Jiao
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  3. Abdullah M. Iliyasu
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  4. Zhengang Jiang
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Corresponding author

Correspondence to Fei Yan.

Additional information

Fei Yan received the PhD degree in Department of Computational Intelligence and Systems Science from Tokyo Institute of Technology, Japan. He is currently an associate professor in School of Computer Science and Technology at Changchun University of Science and Technology, China. His research interests include computational intelligence, quantum information processing, quantum computation, and image processing.

Sihao Jiao received the BE degree in School of Computer and Information Science from Hunan Institute of Technology, China. He is currently a master student in School of Computer Science and Technology at Changchun University of Science and Technology, China. His research interinterests include quantum computing, quantum image processing, and ghost imaging.

Abdullah M. Iliyasu (aka Abdul M. Elias) obtained his ME and PhD degrees in Computational Intelligence and Systems Science from the Tokyo Institute of Technology (Tokyo Tech), Japan. Presently, he is the principal investigator and team leader of the Computational Intelligence and Intelligent Systems (CIIS) Research Group at College of Engineering, Prince Sattam Bin Abdulaziz University, Saudi Arabia. Concurrently, he holds full-time and visiting faculty positions at his alma mater, the Tokyo Tech in Japan, and the Changchun University of Science and Technology in China, respectively. Dr. Iliyasu has, to his credit, more than 80 publications traversing the areas of computational intelligence, quantum image processing, quantum machine learning, quantum cybernetics, information security, hybrid intelligent systems, and health informatics.

Zhengang Jiang received the PhD degree in Graduate School of Information Science from Nagoya University, Japan. He is currently a professor in School of Computer Science and Technology at Changchun University of Science and Technology, China. His research interests include artificial intelligence, quantum computing, medical image processing, and virtual reality.

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Yan, F., Jiao, S., Iliyasu, A.M. et al. Chromatic framework for quantum movies and applications in creating montages. Front. Comput. Sci. 12, 736–748 (2018). https://doi.org/10.1007/s11704-018-7070-8

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  • DOI: https://doi.org/10.1007/s11704-018-7070-8

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