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  4. Vol 8, Issue 1, 2025

New Visual Expression of Movies Based on Matrix Model and Cross-platform Big Data Machine Learning

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DOI: 10.23977/jipta.2025.080103 | Downloads: 10 | Views: 549

Author(s)

Shengnan Wang 1, Yuanlong Tian 2

Affiliation(s)

1 Department of Integrated Arts, Silla University, 46958 Busan Metropolitan City, South Korea
2 School of Arts, Weifang University of Science and Technology, Shouguang City, Shandong Province, China

Corresponding Author

Yuanlong Tian

ABSTRACT

As a unique art, more and more audiences regard visual expression effect as the standard to measure whether a film is of high quality. This study mainly discusses the new visual expression of the film based on matrix model. This paper presents a unified learning system model and programming framework of big data machine based on matrix model. The bridge connecting two views, isolating the upper data analysis programmer and the platform of the bottom big data system is the unified MLDA programming model and interface based on matrix model. Through the unified programming computing model and interface, the upper machine learning algorithm design is decoupled from the distributed and parallel computing system at the bottom, so as to improve the usability of the machine learning system for the data analysis programmer. The movie that will generate the movie clip extracts its keys and extracts the features of those key frames. These unknown samples are put into the proposed semi supervised learning framework with known samples for classification. The classifier will output the label allocation of unknown samples. The last selected key frame is taken to generate a small video clip for each selected key frame for 4 seconds. Finally, these video clips are combined to form a complete movie segment. Our framework not only keeps the highest accuracy of 67.4% in the total average accuracy, but also has a relatively low standard deviation of 0.5. This shows that our framework is not only effective in classification, but also has strong stability and has a positive effect on the performance of new vision of movies.

KEYWORDS

Matrix Model, Big Data, Machine Learning, Film New Vision

CITE THIS PAPER

Shengnan Wang, Yuanlong Tian, New Visual Expression of Movies Based on Matrix Model and Cross-platform Big Data Machine Learning. Journal of Image Processing Theory and Applications (2025) Vol. 8: 17-26. DOI: http://dx.doi.org/10.23977/jipta.2025.080103.

REFERENCES

[1] Biao, Wang, Jun-e, et al. Matrix approach to model matching of composite asynchronous sequential machines[J]. IET Control Theory & Applications, 2017, 11(13):2122-2130.
[2] Chalupa F, Vilhelm J, M. Petruálek, et al. Determination of static moduli in fractured rocks by T-matrix model[J]. Acta Montana Slovaca, 2017, 22(1):22-31.
[3] Kim J M, Lee D G, Lee S W. Temperature-Dependent Behavioral Model of Active-Matrix Liquid Crystal Displays for All Types of Liquid Crystals[J]. Journal of Display Technology, 2017, 12(9):881-887.
[4] Fedele G, D'Alfonso L, Bono A. Vortex Formation in a Swarm of Agents With a Coordinates Mixing Matrix-Based Model[J]. IEEE Control Systems Letters, 2019, 4(2):420-425.
[5] Michel B, Polchinski J, Rosenhaus V, et al. Four-point function in the IOP matrix model[J]. Journal of High Energy Physics, 2016, 2016(5):1-25.
[6] Arfib B, De Marsily G. Modeling the salinity of an inland coastal brackish karstic spring with a conduit-matrix model[J]. Water Resources Research, 2017, 40(11):417-427.
[7] Ganesh M, Hawkins S C. Algorithm 975: TMATROM-A T-matrix reduced order model software[J]. ACM Transactions on Mathematical Software, 2017, 44(1):1-18.
[8] Mao S, Zhu M, Yan X, et al. Modeling mechanism of a novel fractional grey model based on matrix analysis[J]. Journal of Systems Engineering & Electronics, 2016, 27(5):1040-1053.
[9] Zotov A V. Calogero–Moser Model and R-Matrix Identities[J]. Theoretical & Mathematical Physics, 2018, 197(3):1755-1770.
[10] Chen A, Zhang M, Zhu Y, et al. Force and Torque Model Utilizing Transfer-Matrix Theory for a Novel Electrodynamic Suspension Reaction Sphere[J]. Iet Electric Power Applications, 2018, 12(1):63-70.
[11] Khvostov A A, Tikhomirov S G, Khaustov I A, et al. Matrix-graph model of the polymer materials destruction process[J]. Proceedings of the Voronezh State University of Engineering Technologies, 2018, 80(3):50-55.
[12] Zhang S, He Z, Li J, et al. A Generalized Covariance Matrix Taper Model for KA-STAP in Knowledge-Aided Adaptive Radar[J]. Ice Transactions on Fundamentals of Electronics Communications & Computer ences, 2016, 99(6):1163-1170.
[13] Tao L, Liu S, Fang Z, et al. Matrix representation model and its solution of GERT network[J]. Systems Engineering and Electronics, 2017, 39(6):1292-1297.
[14] Chen H, Guansheng L, Tao T, et al. A New Approach of Constraints Establishment and Optimization for Matrix Tolerance Model[J]. Journal of Mechanical Engineering, 2016, 52(1):123-129.
[15] Yin S Y, Chen L, Pan M, et al. A Mathematically-Tuning Model of Multicolor and White Light Upconversion in Lanthanide-Doped ZrO 2 Macroporous Matrix[J]. Chemistryselect, 2016, 1(12):3136-3143.
[16] Szollosi A, Baranyi P. Influence of the Tensor Product Model Representation Of QLPV Models on The Feasibility of Linear Matrix Inequality[J]. Asian Journal of Control, 2016, 18(4):1328-1342.
[17] Gervois A. Matrix elements statistics in the shell model[J]. Physics Letters B, 2016, 26(7):413-417.
[18] Gulbudak O, Santi E. FPGA-Based Model Predictive Controller for Direct Matrix Converter[J]. IEEE Transactions on Industrial Electronics, 2016, 63(7):4560-4570.
[19] Agarwal A, Amjad M J, Shah D, et al. Model Agnostic Time Series Analysis via Matrix Estimation[J]. ACM SIGMETRICS Performance Evaluation Review, 2019, 47(1):85-86. 
[20] Xia Y, Chen Y, Song Y, et al. An Efficient Phase Domain Synchronous Machine Model With Constant Equivalent Admittance Matrix[J]. IEEE Transactions on Power Delivery, 2019, 34(3):929-940.

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