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  5. Control of videotraphic intensity for information technologies of processing and transmission of video information resources

Control of videotraphic intensity for information technologies of processing and transmission of video information resources

V. Barannik, M. Mruts, V. Zgodnіk, V. Barannik, V. Tverdokhlib
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Description: It is proposed to develop a method of bit rate control to ensure the harmonization of the characteristics of dynamically changing video stream and the characteristics of the infocommunication network. A bit rate control method is being developed to ensure that the characteristics of the dynamically changing video stream and that of the infocommunication network are consistent. An analysis of the patterns of changes in the bit rate of the video stream and the network bandwidth showed that there is a need to agree on these values. This need is due to the constant change in the bit rate of the video stream and bandwidth due to their mutual independence. Such findings were confirmed by the results of the study. At the same time, the use of encoding technologies that can significantly reduce the bit rate of the video stream is not effective enough, since it only reduces the amount of video data without matching their parameters with bandwidth. In the course of the research, JPEG internal coding technology, its features, advantages and disadvantages were analyzed. This enabled JPEG to develop a method for managing video traffic intensity. The developed method is based on changing the basic JPEG encoding parameters and motion compensation. The main differences of the developed method are that in the process of matching the bit intensity it is suggested to take into account the technological processes for compensating the movement of objects between adjacent frames in the flow. This allows to improve the quality in terms of providing the required bit intensity. The developed method allows to increase efficiency of functioning of video services on the basis of existing coding technologies, without interfering with algorithms of their work. At the same time, the quality of network services provision is ensured in the conditions of increasing number of services and their users, with the same bandwidth values.


Keywords: video information, bandwidth, bit rate, codec, buffer, quantization, offset vector. 

References

1.Miano, J. (2013), Formats and image compression algorithms in action, Triumph, Kyiv, 336 p.
2.Ablamejko, S.V. and Lagunovskij, D.M. (2000), “Obrabotka izobrazhenij: tehnologija, metody, primenenie” [Imageprocessing: technology, methods, application], Amalfeja, Minsk, 303 р.
3.Shirani, J.S. and Kossentini, F. (1998), JPEG compliant efficient progressive image coding, IEEE InternationalConference on Acoustics, Speech and Signal Processing (ICASSP), Seattle, USA, pp. 2633-2636. https://doi.org/ 10.1109/ICASSP.1998.678063.
4.Miano, J. (1999), Compressed image file formats: JPEG, PNG, GIF, XBM, BMP, ACM, Moscow, 264 p.
5.Pratt ,W., Chen, W.H. and Welch, L.R. (1969), Computer Processing in communications, Polytechnic Press, New York,1969, 184 p.
6.Grundmann, M., Kwatra, V., Han, M. and Essa, I. (2010), Efficient hierarchical graph-based video segmentation, IEEEComputer Society Conference on Computer Vision and Pattern Recognition, San Francisco, California, pp. 2141-2148.
7.Gonzalez, R. and Woods, K. (2018), Digital image processing, Tekhnosfera, Kyiv, 1104 p.
8.Salomon, D. (2007), Data Compression: The Complete Reference. Fourth Edition, Springer-Verlag Limited, London,899 p.
9.Stankiewicz, O., Wegner, K., Karwowski, D., Stankowski, J., Klimaszewski, K. and Grajek, T. (2017), Encoding modeselection in HEVC with the use of noise reduction, International Conference on Systems, Signals and Image Processing (IWSSIP), Poznan, pp. 1-6.
10.Christophe,E., Lager, D. and Mailhes, C. (2005), Quality criteria benchmark for hipers-pectral imagery, IEEETransactions on Geoscience and Remote Sensing, No. 9(43), рр. 2103-2114.
11.Vatolin, D., Ratushnyak, A., Smirnov, M. and Yukin, V. (2003), “Metodyi szhatiya dannyih. Ustroystvo arhivatorov,szhatie izobrazheniy i video: uchebnoe posobie” [Methods of data compression. The device archivers, image and video compression: a training manual], DIALOGUE–MEPhI, Moscow, 384 p.
12.Barannik, V.V., Barannik, D.V. and Bekirov, A.E. (2017), “Osnovyi teorii strukturno-kombinatornogosteganograficheskogo kodirovaniya” [Fundamentals of the theory of structurally combinatorial steganographic coding], Leader, Kharkiv, 256 p.

Reference:
 Barannik, V.V., Mruts, M.S., Zghodnik, V.S., Barannik, V.V. and Tverdokhlib, V.V. (2019), “Upravlinnia intensyvnistiu videotrafiku dlia informatsiinykh tekhnolohii obrobky ta peredachi videoinformatsiinykh resursiv” [Control of videotraphic intensity for information technologies of processing and transmission of video information resources], Systems of Arms and Military Equipment, No. 4(60), pp. 58-65. https://doi.org/10.30748/soivt.2019.60.08.