MODEL FOR ESTIMATING THE EFFICIENCY OF VIDEO DATA ENCODING IN SPECTRAL-PARAMETRIC SPACE
DOI:
https://doi.org/10.18372/2310-5461.65.19929Keywords:
Images, Compression, Spectral Parametric Description, Clustering Transformant, Block Codes, model, compression ratioAbstract
From the point of view of providing high-quality information services, it is important to ensure the required quality of standard information: timeliness of information transmission, reliability of information, completeness of content, continuous provision of information according to the needs of users. For this, complex actions are used, including technological, mathematical and hardware and software. Appropriate exchange protocols and information presentation technologies are being developed. At the same time, the development of existing and the emergence of new information services leads to the formation of new requirements for the mathematical and technological basis for their implementation. This also includes the need for further development of technologies and methods of presenting information. Currently, one of the most powerful standardized implementations is the JPEG format. Modern methods use more powerful improvements to the listed mechanisms. This allows you to achieve better results according to the system "loss level - compression level". However, most of the solutions are aimed at improving the quality of visual assessment using noise filters and appropriate machine learning methods. It is these actions that are performed on the receiving side. Hence, there is a need to improve redundancy reduction techniques to increase the level of video data compression. One of the areas that has the potential to further reduce redundancy without additional distortion is the technology for representing video data in spectral-parametric space. For this technology, there are opportunities for additional consideration: the level of information content of the transformant sequence; the presence of dependencies in data sets to reduce statistical and structural mean-transformant redundancy. At the same time, there is no model for evaluating their effectiveness taking into account various factors and parameters of the compression method. Otherwise, it allows to increase the level of validity of estimates obtained theoretically and experimentally. Therefore, the purpose of the article is to develop a model for evaluating the effectiveness of video data encoding in spectral-parametric space. A model has been developed for estimating the number of bits per common code of the clustered sequence of transformants in the SPPT based on their compression by the developed method. In the process of calculation, the peculiarities of the construction of individual components of the service and information parts of the general codegram are taken into account.
References
Бараннік , В. В., Шульгін , С. С., Бабенко , Ю. М., Онищенко , Р. С., Ревва , К. В., Белікова , Т. В. and Ігнатьєв , О. О. (2023) “Technology of Sliding Coding of Uneven Diagonal Sequences in Two-Dimensional Spectral Space of Transformants”, Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, (94), pp. 13-23. doi: 10.20535/RADAP.2023.94.13-23.
Xiaolong Duan, Bin Li, Zhaoxia Yin, Xinpeng Zhang, Bin Luo. Robust image steganography against lossy JPEG compression based on embedding domain selection and adaptive error correction. Expert Systems with Applications vol. 229, Part A. - 2023. - https://doi.org/10.1016/j.eswa.2023.120416.
Thomas Abbott, Bevan Baas. A Scalable JPEG Encoder on a Many-Core Array. 2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC). – 2023. – pp. 411-418. doi bookmark: 10.1109/MCSoC60832.2023.00068.
João Ascenso, Elena Alshina, Touradj Ebrahimi. The JPEG AI Standard: Providing Efficient Human and Machine Visual Data Consumption. IEEE MultiMedia. - vol 30 (Issue 1). - 2023 doi: 10.1109/MMUL.2023.3245919.
Бараннік , В. В., Сідченко , С. О., Бараннік , Д. В., Чорномаз , І. К., Гуржій , П. М. and Григор’ян , М. Б. (2023) “Saving Elements Methods for Service Components of Images Cryptocompression Codograms”, Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, (92), pp. 28-40. doi: 10.20535/RADAP.2023.92.28-40.
Odarchenko R., Gnatyuk S., Gnatyuk V., Abakumova A. Security key indicators assessment for modern cellular networks. System Analysis & Intelligent Computing (SAIC): proceedings of the IEEE First International Conference, 2018. P 1-7. https://doi.org/10.1109/SAIC.2018.8516889.
Survey on image encryption techniques using chaotic maps in spatial, transform and spatiotemporal domains [Text] / U. Zia, M. McCartney, B. Scotney et al. // International Journal of Information Security. – 2022. – Vol. 21. – P. 917–935. DOI: 10.1007/s10207-022-00588-5.
Козловський В., Толстікова О., Савченко А., Клобукова Л. Критерії вибору спектрально-ефективних сигналів у бездротових інформаційних мережах. Наукоємні технології. 2022. № 4 (56). С. 286 – 273. DOI: https://doi.org/ 10.18372/2310-5461.56.17125.
A. Krasnorutsky, V. Barannik, S. Shulgin, V. Kolesnyk, N. Kharchenko and K. Revva, "Integration of Video Image Decryption Coding into a Remote Video Information Service," 2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT), Lviv, Ukraine, 2023, pp. 1-6, doi: 10.1109/AICT61584.2023.10452679.
Benjamin Bross, Ye-Kui Wang, Yan Ye, Shan Liu, Jianle Chen, Gary J. Sullivan, Jens-Rainer Ohm. Overview of the versatile video coding (VVC) standard and its applications. IEEE Transactions on Circuits and Systems for Video Technology. - vol. 31 (Issue 10). - PP. 3736-3764, Oct. 2021. doi: 10.1109/TCSVT.2021.3101953.
Barannik V. et al.: Significant Microsegment Transformants Encoding Method to Increase the Availability of Video Information Resource. IEEE Advanced Trends in Information Theory (ATIT): proceedings of 2nd Intern. Conf. (Kyiv, Ukraine, November 25-27, 2020). Kyiv, 2020. Р. 52-56. DOI: 10.1109/ATIT50783.2020.9349256.
P. Bas, T. Filler, and T. Pevný. Break our steganographic system - the ins and outs of organizing BOSS. In T. Filler, T. Pevný, A. Ker, and S. Craver, editors, Information Hiding, 13th International Conference. - vol.6958 of Lecture Notes in Computer Science. - pp. 59-70. Prague, Czech Republic. - 2011. https://doi.org/10.1007/978-3-642-24178-9_5.
Barannik V. et al.: "The Methods of Intellectual Processing of Video Frames in Coding Systems in Progress Aeromonitor to Increase Efficiency and Semantic Integrity," 2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT), Kyiv, Ukraine, 2022, pp. 53-56, doi: 10.1109/ATIT58178.2022.10024208.
Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray. Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). – 2023. – pp. 19627-19638. DOI Bookmark: 10.1109/CVPR52729.2023.01880.
Бараннік В.В., Цімура Ю.В., Гаврилов Д.С., Гуржій П.М., Колесник В.О. Метод адаптивного цілісного арифметичного кодування з врахуванням RLE-перетворення // Системи і технології зв’язку, інформатизації та кібербезпеки. 2023. №3. – С. 5 – 13. doi: 10.58254/viti.3.2023.01.05
Одарченко Р., Рябенко М., Іванова М., Аль-Мудхафар Акіл Абдулхусейн М. Метод аналізу взаємодії параметрів QOE та QOS на основі алгоритмів керування машинами. Наукоємні технології. 2022. № 4 (56). С. 305 – 316. DOI: https://doi.org/ 10.18372/2310-5461.56.17130.
V. Barannik and A. Shiryaev, "Quadrature compression of images in polyadic space," Proceedings of International Conference on Modern Problem of Radio Engineering, Telecommunications and Computer Science, 2012, pp. 422-422. INSPEC Accession Number: 12713484.
Eli Dworetzky, PictureEdgar Kaziakhmedov, PictureJessica Fridrich. Advancing the JPEG Compatibility Attack: Theory, Performance, Robustness, and Practice. Proceedings of the 2023 ACM Workshop on Information Hiding and Multimedia Security. – 2023. – pp. 67–79. https://doi.org/10.1145/3577163.3595090.
G. J. Sullivan, J.-R. Ohm, W.-J. Han and T. Wiegand, "Overview of the high efficiency video coding (HEVC) standard"ю IEEE Transactions on Circuits and Systems for Video Technologyю - vol. 22 (Issue. 12). - pp. 1649-1668. 2012. doi: 10.1109/TCSVT.2012.2221191
Barannik, V. et al. (2020). Development of Adaptive Arithmetic Coding Method to the Sequence of Bits. In: Zawiślak, S., Rysiński, J. (eds) Engineer of the XXI Century. EngineerXXI 2018. Mechanisms and Machine Science, vol 70. Springer, Cham. https://doi.org/10.1007/978-3-030-13321-4_18 ISSN 2211-0984.
Цімура Ю., Костромицький А., Суханов О., Думич C. Метод кодування відеоданих в спектрально-параметричному просторі // Інфокомунікаційні технології та електронна інженерія. – 2024. – Випуск 4 (1). – С 61 – 69. doi: 10.23939/ictee2024.01.061.
Barannik V., Khimenko V., Barannik N., Method of indirect information hiding in the process of video compression. Radioelectronic and Computer Systems. 2021. №. 4. PP. 119–131. https://doi.org/10.32620/reks.2021.4.
Barannik V., Krasnorutsky А., Kolesnik V., Barannik V., Pchelnikov S., Zeleny P. Compression method in terms of ensuring the fidelity of video images in infocommunication networks // Radioelectronic and Computer Systems, 2022, no 4(100). – pp.10 – 24. DOI: 10.32620/reks.2022.5/09.
Barannik, V. et al. (2023). A Method of Scrambling for the System of Cryptocompression of Codograms Service Components. In: Klymash, M., Luntovskyy, A., Beshley, M., Melnyk, I., Schill, A. (eds) Emerging Networking in the Digital Transformation Age. TCSET 2022. Lecture Notes in Electrical Engineering, vol 965. Springer, Switzerland, Cham. https://doi.org/10.1007/978-3-031-24963-1_26.
Бараннік, . В. В., Красноруцкий, А. О., Колесник , В. О., Сушко , А. Л., Єлісєєв , Є. С. and Федоровський , О. В. (2023) “Video Segments Stamping Method Saving Their Reliability in the Spectral-Cluster Space: ”, Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, (92), pp. 41-53. doi: 10.20535/RADAP.2023.92.41-53.
Бараннік В.В., Єлісєєв Є.С., Цімура Ю., Бабенко М.В., Тарасенко Д. Метод кластеризації послідовності трансформант за структурними ознаками їх спектрально-параметричного опису // Наукоємні технології. 2024. №2(62). С. 185-192. DOI: https://doi.org/10.18372/2310-5461.62.18712
Barannik, V. et al. (2024). Method of Coding Video Images Based on Meta-Determination of Segments. In: Luntovskyy, A., Klymash, M., Melnyk, I., Beshley, M., Schill, A. (eds) Digital Ecosystems: Interconnecting Advanced Networks with AI Applications. TCSET 2024. Lecture Notes in Electrical En-gineering, vol 1198. Springer, Cham. https://doi.org/10.1007/978-3-031-61221-3_27.
Бараннік , В. В., Красноруцький , А. О., Колесник , В. О., Пчельніков , С. І., Бабенко , Ю. М. and Шейгас , О. М. (2022) “А Method of Coding Video Segments in Spectral-Cluster Space with Detection of Structural Features”, Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, (90), pp. 21-30. doi: 10.20535/RADAP.2022.90.21-30.
Barannik V., Karpenko S. Method of the 3-D image processing. Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET): proceedings of Intern. Conf. (Lviv-Slavsko, Ukraine, February 19-23, 2008), Lviv-Slavsko, 2008. Р. 378-380.
V. Barannik, A. Berchanov, V. Barannik, M. Babenko, R. Onyshchenko and L. Kolodiichuk, "Method of Mini Segments Encoding in Difference Space Using Haar Wavelet," 2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT), Lviv, Ukraine, 2023, pp. 1-4, doi: 10.1109/AICT61584.2023.10452674.
Бараннік В.В., Єлісєєв Є.С., Цімура Ю., Бабенко М.В., Ушань В. Метод стиснення кластеризованих трансформант на основі блочного кодування з локально-монотонним визначенням довжини // Наукоємні технології. 2024. №3(63). С. 274-281. DOI: https://doi.org/10.18372/2310-5461.63.18971.
