ROBUSTNESS OF COMPRESSED VIDEO IN H.264 AGAINST CHANNEL USING NEURAL NETWORK WITH HUFFMAN CODING

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ETEZADIFAR P.; FARSI H.; NASERI A.

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Journal: Advanced Defense Science and Technology Year:2016 | Volume:6 | Issue:4 Page(s): 221-234

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Title

ROBUSTNESS OF COMPRESSED VIDEO IN H.264 AGAINST CHANNEL USING NEURAL NETWORK WITH HUFFMAN CODING

Author(s)

ETEZADIFAR P. | FARSI H. | NASERI A. | Issue Writer Certificate

Keywords

VIDEO COMPRESSIONQ2

H. 264Q2

VARIABLE BIT RATEQ2

CHANNEL CODINGQ3

ADAPTIVE SOURCE AND CHANNEL CODINGQ2

ARTIFICIAL NEURAL NETWORKQ2

Abstract

As source and CHANNEL CODING are performed independently from each other without any feedback, source coding tries to remove redundancy of the information whereas CHANNEL CODING tries to increase reliability of transmitted data. As known, channel capacity restricts volume of the transmitted data and so depending to conditions, it is required to have a tradeoff between source and CHANNEL CODING. The aim of this paper is to improve the quality of the synthesized video by increasing the robustness against channel errors in fixed transmission rate. In other words, the robustness of the transmitted video frames increases without any increment in bit rate. This results in improvement in the quality of the synthesized video. In the proposed method, the transmitted information is considerably compressed using neural network with Huffman coding in H.264. Then a secondary CHANNEL CODING whose rate depends on the amount of the compression is applied on the compressed information. This causes that the proposed method is able to increase CHANNEL CODING rate and therefore provides higher protection for the transmitted information and more robustness against channel errors. The obtained results by the proposed method are compared to the other methods for different source coding rates and SNRs.

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APA: Copy

ETEZADIFAR, P., FARSI, H., & NASERI, A.. (2016). ROBUSTNESS OF COMPRESSED VIDEO IN H.264 AGAINST CHANNEL USING NEURAL NETWORK WITH HUFFMAN CODING. (JOURNAL OF ADVANCED DEFENCE SCIENCE AND TECHNOLOGY) JOURNAL OF PASSIVE DEFENCE SCIENCE AND TECHNOLOGY, 6(4), 221-234. SID. https://sid.ir/paper/167378/en

Vancouver: Copy

ETEZADIFAR P., FARSI H., NASERI A.. ROBUSTNESS OF COMPRESSED VIDEO IN H.264 AGAINST CHANNEL USING NEURAL NETWORK WITH HUFFMAN CODING. (JOURNAL OF ADVANCED DEFENCE SCIENCE AND TECHNOLOGY) JOURNAL OF PASSIVE DEFENCE SCIENCE AND TECHNOLOGY[Internet]. 2016;6(4):221-234. Available from: https://sid.ir/paper/167378/en

IEEE: Copy

P. ETEZADIFAR, H. FARSI, and A. NASERI, “ROBUSTNESS OF COMPRESSED VIDEO IN H.264 AGAINST CHANNEL USING NEURAL NETWORK WITH HUFFMAN CODING,” (JOURNAL OF ADVANCED DEFENCE SCIENCE AND TECHNOLOGY) JOURNAL OF PASSIVE DEFENCE SCIENCE AND TECHNOLOGY, vol. 6, no. 4, pp. 221–234, 2016, [Online]. Available: https://sid.ir/paper/167378/en

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