Research Article
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İletişim Ağları Üzerinden Uyarlanabilir Video İletimi

Year 2019, Volume: 3 Issue: 1, 97 - 112, 30.07.2019

Abstract

Öz

Bu makalenin amacı video bithızını düşürme ve yüksek çözünürlüklü video dosyasının boyutunu uygun halde

tutabilmektir. Bu işlem yeni nesil bir İleri Video Kodlayıcı ile yapılır. Bu tür bir işlem, tek düzeyli ya da çok düzeyli

kodlayıcılarla yapılabilir. Amaç, kod çevrimine ulaşılabilecek bir sürecin yürütülmesidir. Video sıkıştırması için

kullanılan kod çözücü H.264’tür. H.264 AVC’nin kodlanması için x264 kütüphanesi kullanılmıştır. Bithızı kontrolü

kodlayıcının içine yerleştirildiğinde, daha güvenilir ve iyileştirilmiş bir sisteme ulaşılır ve video kodlayıcının

çıkış oranı geçici bellekten sağlanan geri besleme ile sağlanır. QP, döngü uzunluğu gibi etkin parametreler,

video kodlama sürecinde kullanılabilir. Deneme senaryolarında QCIF, CIF, HD gibi farklı biçimlerde videolar

kullanılmıştır. Standartların uygulanması ve denenmesinde ise JM19 referans yazılımı kullanılmıştır.

References

  • Cisco, 2019. Cisco VNI Global IP Traffic Forecast. 2014-2019. 2019. url: \url{http: //www.cisco.com/c/en/ us/solutions/collateral/serviceprovider/visual-networking-index-vni/VNI_Hyperconnectivity_ WP.html}.
  • Conklin Gregory J. 2001,” Video Coding For Streaming Media Delivery On The Internet” IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 11, NO. 3.
  • Joshi Madhuri A., Raval Mehul S., Dandawate Yogesh H., Joshi Kalyani R., Metkar Shilpa P., 2015. Image and Video Compression Fundamentals, Techniques, and Applications.
  • Karmakar G. and Dooley L.S.,2008. Mobile Multimedia Communications: Concepts, Applications, and Challenges. IGI Global.
  • Khalil I. and . Weippl E., 2011. Innovations in Mobile Multimedia Communications and Applications: New Technologies. IGI Global.
  • Mamatha R. and Keshaveni N., 2014 “Comparative Study of Video Compression Techniques- H264/AVC,” Int. J. Adv. Res. Comput. Sci. Softw. Eng. Res., vol. 4, no. 11, pp. 874–877.
  • Meraj M.and Kumar S., 2015. “Evolution of Mobile Wireless Technology from 0G to 5G .,” Int. J. Comput. Sci. Inf. Technol., vol. 6, no. 3, pp. 2545–2551.
  • Yun Q. and Sun H., 2000. Image and Video Compression for multimedia engineering: Fundamentals, Algorithms, and Standards.

Adaptive Video Transmission Over Communication Networks

Year 2019, Volume: 3 Issue: 1, 97 - 112, 30.07.2019

Abstract

Abstract
This paper is to minimize video bitrate and keeping the high resolution video file manageable. This process
is achieved by using new generation of Advanced Video Coders (AVC). Such process can be done at one
level encoder or multi levels of encoders by means of transcoding, where reformatting the content to be
streamed on channel is called transcoding. The goal is concerned of encoder processes that can be used
to achieve transcoding. The codec used for compression of video is H.264, a standard for providing high
definition video at substantially low complicity and lower bit rates. The x264 Library is used for encoding
H.264 AVC, undergirds some of the most profiles for broadcasting and streaming operations over wired
and wireless channels, including different applications. When a technique of bit-rate control is incorporated
with the encoder, more reliable and qualified system for low bitrate video streaming over constant bit rate
communication channel is achieved, where output rate of the video encoder is controlled by feedback based
on the buffer level. Where the most effective parameters such as skip frame, QP, cycle length (Gop), etc. are
configured and it used as a rate control tools to test the streaming coded bit rate and the decoded video
quality. Testing scenarios use many different videos with QCIF, CIF, and HD formats encoded under main
profile. JM19 reference software is used for implementing and testing the standards.

References

  • Cisco, 2019. Cisco VNI Global IP Traffic Forecast. 2014-2019. 2019. url: \url{http: //www.cisco.com/c/en/ us/solutions/collateral/serviceprovider/visual-networking-index-vni/VNI_Hyperconnectivity_ WP.html}.
  • Conklin Gregory J. 2001,” Video Coding For Streaming Media Delivery On The Internet” IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 11, NO. 3.
  • Joshi Madhuri A., Raval Mehul S., Dandawate Yogesh H., Joshi Kalyani R., Metkar Shilpa P., 2015. Image and Video Compression Fundamentals, Techniques, and Applications.
  • Karmakar G. and Dooley L.S.,2008. Mobile Multimedia Communications: Concepts, Applications, and Challenges. IGI Global.
  • Khalil I. and . Weippl E., 2011. Innovations in Mobile Multimedia Communications and Applications: New Technologies. IGI Global.
  • Mamatha R. and Keshaveni N., 2014 “Comparative Study of Video Compression Techniques- H264/AVC,” Int. J. Adv. Res. Comput. Sci. Softw. Eng. Res., vol. 4, no. 11, pp. 874–877.
  • Meraj M.and Kumar S., 2015. “Evolution of Mobile Wireless Technology from 0G to 5G .,” Int. J. Comput. Sci. Inf. Technol., vol. 6, no. 3, pp. 2545–2551.
  • Yun Q. and Sun H., 2000. Image and Video Compression for multimedia engineering: Fundamentals, Algorithms, and Standards.
There are 8 citations in total.

Details

Primary Language English
Subjects Software Architecture
Journal Section Research Article
Authors

Ergin Göse 0000-0001-8428-2380

Osman Nuri Uçan 0000-0002-4100-0045

Ghaidq Nassr Nafea This is me 0000-0002-8987-5529

Oğuz Bayat This is me 0000-0001-8428-2380

Publication Date July 30, 2019
Submission Date December 4, 2018
Acceptance Date July 17, 2019
Published in Issue Year 2019 Volume: 3 Issue: 1

Cite

APA Göse, E., Uçan, O. N., Nafea, G. N., Bayat, O. (2019). Adaptive Video Transmission Over Communication Networks. AURUM Journal of Engineering Systems and Architecture, 3(1), 97-112.

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