Chromatic framework for quantum movies and applications in creating montages

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.

[1]  Huamin Yang,et al.  Video Encryption and Decryption on Quantum Computers , 2015, International Journal of Theoretical Physics.

[2]  Zhengang Jiang,et al.  Multi-Channel Quantum Image Scrambling , 2016, J. Adv. Comput. Intell. Intell. Informatics.

[3]  Kaoru Hirota,et al.  Metric for Estimating Congruity between Quantum Images , 2016, Entropy.

[4]  Yizhou Yu,et al.  Audeosynth: Music-driven Video Montage , 2015, ACM Trans. Graph..

[5]  Abdullah M. Iliyasu Towards Realising Secure and Efficient Image and Video Processing Applications on Quantum Computers , 2013, Entropy.

[6]  Fei Yan,et al.  Multi-Channel Information Operations on Quantum Images , 2014, J. Adv. Comput. Intell. Intell. Informatics.

[7]  A. Vlasov Quantum Computations and Images Recognition , 1997, quant-ph/9703010.

[8]  Kaoru Hirota,et al.  A flexible representation of quantum images for polynomial preparation, image compression, and processing operations , 2011, Quantum Inf. Process..

[9]  Sehoon Ha,et al.  Iterative Training of Dynamic Skills Inspired by Human Coaching Techniques , 2014, ACM Trans. Graph..

[10]  Abdullah M. Iliyasu,et al.  A Multi-Channel Representation for images on quantum computers using the RGBα color space , 2011, 2011 IEEE 7th International Symposium on Intelligent Signal Processing.

[11]  Yongtao Hu,et al.  Content-Aware Video2Comics With Manga-Style Layout , 2015, IEEE Transactions on Multimedia.

[12]  Kaoru Hirota,et al.  Strategy for quantum image stabilization , 2016, Science China Information Sciences.

[13]  Fei Yan,et al.  Measurements-based Moving Target Detection in Quantum Video , 2016 .

[14]  Kaoru Hirota,et al.  A FRAMEWORK FOR REPRESENTING AND PRODUCING MOVIES ON QUANTUM COMPUTERS , 2011 .

[15]  Fei Yan,et al.  Quantum image processing: A review of advances in its security technologies , 2017 .

[16]  Kaoru Hirota,et al.  Watermarking and authentication of quantum images based on restricted geometric transformations , 2012, Inf. Sci..

[17]  Jing Liao,et al.  Fast computation of seamless video loops , 2015, ACM Trans. Graph..

[18]  Abdullah M. Iliyasu,et al.  Strategies for designing geometric transformations on quantum images , 2011, Theor. Comput. Sci..

[19]  Bo Sun,et al.  A duple watermarking strategy for multi-channel quantum images , 2015, Quantum Inf. Process..

[20]  Sougato Bose,et al.  Storing, processing, and retrieving an image using quantum mechanics , 2003, SPIE Defense + Commercial Sensing.

[21]  Fei Yan,et al.  A survey of quantum image representations , 2015, Quantum Information Processing.

[22]  I. Chuang,et al.  Quantum Computation and Quantum Information: Introduction to the Tenth Anniversary Edition , 2010 .

[23]  Thierry Paul,et al.  Quantum computation and quantum information , 2007, Mathematical Structures in Computer Science.

[24]  Chris Lomont,et al.  Quantum image processing (QuIP) , 2003, 32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings..

[25]  José Ignacio Latorre,et al.  Image compression and entanglement , 2005, ArXiv.