Video segment coding method for bit rate control information technology
DOI:
https://doi.org/10.18372/2310-5461.47.14931Keywords:
bit plane, discrete cosine transform transformant, video streamAbstract
The conceptual bases of construction of an effective coding method as a part of the module of control of bit speed of video traffic in system of video data processing at source level are considered. This method reduces the number of bits on the description of video frames by reducing a number of redundancies - namely - structural and combinatorial, which in most cases when processed by traditional methods remain unchanged. This is achieved by identifying the lengths of a series of binary elements in the binary description of the DCT transformant. In this case, the peculiarities of the localization of binary series are taken into account, namely, that the maximum number of zero elements of the binary description can be detected within the high-frequency zone of the transformant, and within the lower bits of the components. The essence of using the proposed encoding method in controlling the bit rate of the video stream is revealed, namely, the principles of constructing a code representation of a frame fragment and approaches to determining the structural units of an individual video frame within which control is performed. The method focuses on the processing of the bit representation of the discrete-cosine transform transformant, and at this stage of the transformant processing is considered as a structural component of the video stream frame, at the level of which the encoding is performed. At the same time, to ensure the flexibility of controlling the bit rate of video traffic, for each of the transformants of the discrete-cosine transformation is decomposed to the level of the plurality of bit planes. In addition, this principle of forming a code representation of a fragment of the video stream allows you to control the level of error that may be introduced in the process of bit rate control. Because the proposed approach provides for bit rate control by manipulating the number of bit planes that make up the description of the transformant, the error rate can be controlled by excluding only those bit planes that least contribute to reducing data integrity..
References
V. V. Barannik, N.A. Kharchenko, V.V. Tverdokhleb, O. Kulitsa, "The issue of timely delivery of video traffic with controlled loss of quality", in Proceedings of the International Conference on Modern Problems of Radio Engineering. Telecommunications and Computer Science (TCSET), 2016, pp. 902-904. doi: 10.1109/TCSET.2016.7452220.
V.V. Barannik, A. Krasnoruckiy, A. Hahanova, "The positional structural-weight coding of the binary view of transformants", in Proceedings of the International Conference on East-West Design and Test Symposium (EWDTS), September 2013, pp. 1-4. doi: 10.1109/EWDTS.2013.6673178.
R.C. Gonzales and R.E. Woods. Digital image processing, sec. edition. Prentice Hall, New Jersey, 2002, 1072 p.
Ian Richardson, H.264 and MPEG-4 Video Compression: Video Coding for Next-Generation Multimedia. pp. 368, 2005.
Y. Zhang, S. Negahdaripour and Q. Li, "Error-resilient coding for underwater video transmission," OCEANS 2016 MTS/IEEE Monterey, Monterey, CA, 2016, pp. 1-7.
V Barannik, S Podlesny, D Tarasenko, D Barannik, O Kulitsa. “The video stream encoding method in infocommunication systems”, in Proceedings of the International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET), Lviv, 2018, pp. 538-541, doi: 10.1109/TCSET.2018.8336259.
S. Wang, X. Zhang, X. Liu, J. Zhang, S. Ma, W. Gao, "Utility-Driven Adaptive Preprocessing for Screen Content Video Compression", IEEE Transactions on Multimedia, vol. 19, no. 3, pp. 660-667, 2017.
H. Baccouch, P. L. Ageneau, N. Tizon, N. Boukhatem, "Prioritized network coding scheme for multilayer video streaming", in Proceedings of the International Conference on 14th IEEE Annual Consumer
Communications & Networking Conference (CCNC), 2017, pp. 802-809.
W. J. Tsai, Y. C. Sun, "Error-resilient video coding using multiple reference frames”, in Proceedings of the International Conference on IEEE International Conference on Image Processing, 2013, pp. 1875-1879.
Shi, Yun Q. Image and video compression for multimedia engineering: fundamentals, algorithms, and standards. CRC Press, NY, 2008, 576 p.
K. R. Rao and J. J. Hwang. Techniques and Standards for Image, Video and Audio Coding. EnglewoodCliffs, NJ: Prentice-Hall, 1996.
Ablamejko S.V., Lagunovskij D.M. Obrabotka izobrazhenij: tehnologija, metody, primenenie. Amalfeja, Minsk, 2000, 303 p.
Ding Z., Chen H., Gua Y., Peng Q. GPU accelerated interactive space-time video matting. In Computer Graphics International P 163‑168. 2010.
Christophe E., Lager D., Mailhes C. “Quality criteria benchmark for hiperspectral imagery”, IEEE Transactions on Geoscience and Remote Sensing. Vol. 43. No 9. pp. 2103–2114, 2005.
Lee S. Y. Yoon J. C. Temporally coherent video matting. Graphical Models 72. 2010. P. 25-33.
Vatolin D., Ratushnyak A., Smirnov M. and Yukin V. Methods of data compression. The device archiver, compression of images and videos. M. Dialog Mifi, 2013, 384 p.
D. Salomon. Data Compression: The Complete Reference. Fourth Edition. Springer-Verlag London Limited, 2007, 899 p.
V.V Barannik., Yu.N. Ryabukha, S.A Podlesnyi. “Structural slotting with uniform redistribution for enhancing trustworthiness of information streams”, Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika), №76 (7), pp.607, 2017. doi: 10.1615 / TelecomRadEng.v76.i7.40.
A.N. Alimpiev, V.V. Barannik, S.A. Sidchenko “The method of cryptocompression presentation of videoinformation resources in a generalized structurally positioned space”, Telecommunications and Radio Engineering, English translation of Elektrosvyaz and Radiotekhnika, №76 (6), pp. 521-534, 2017, doi: 10.1615/TelecomRadEng.v76.i6.60.
A. Chigorin, G. Krivovyaz, A. Velizhev, A. Konushin. “A method for traffic sign detection in an image with learning from synthetic data”, in Proceedings of the International Conference on Digital Signal Processing and its Applications, 2012, pp. 316-335.
