A Comparative Analysis of Video Compression Standard and Algorithms: State of the Art

M. O. Momoh, J. N. Ndunagu, V. K. Abanihi, S. M. Yusuf, M. I. Abdullah

Abstract


The advancement in the internet technology fosters the application of video streaming which is gaining more awareness amidst the populace. The application of video streaming includes internet broadcasting, video conferencing and video lecture among others.  In video transmission, either through wired or wireless, a lot of images are needed to create an illusion of continuity. Therefore, there is need for effective utilization of storage space and allocated bandwidth.  In lieu of this, digital video standards and methods have been proffered by researchers and manufacturers in order to ensure compatibility among video codec from different manufacturers and to simplify the development of newer applications.  This paper presents a comparative study of the emerging and current video compression standards with a demonstration of some of the compression algorithms that are being employed in digital video compression.


Full Text:

PDF

References


Adedokun, A. E., Abdulrazak, M. B., Omuya, M. M., Bello-Salau, H., & Sadiq, B. O. (2019). A Spatio-Temporal based Frame Indexing Algorithm for QoS Improvement in Live Low-Motion Video Streaming. ATBU Journal of Science, Technology and Education, 7(3), 305-315

Apostolopoulos, J. G., Tan, W.T., & Susie, W. J. (2002). Video Streaming: Concepts, Algorithms, and Systems. Palo Alto, CA, USA: Hewlett-Packard Laboratories.

Azhar, A. Z., Pramono, S., & Supriyanto, E. (2016). An Analysis of Quality of Service (QoS) In Live Video Streaming Using Evolved HSPA Network Media. JAICT, 1(1), 1-6.

Duanmu, Z., Zeng, K., Ma, K., Rehman, A., & Wang, Z. (2017). A quality-of-experience index for streaming video. IEEE Journal of Selected Topics in Signal Processing, 11(1), 154-166. doi: 10.1109/JSTSP.2016.2608329

Gangurde, T. P., & Nikam, S. (2017). A Survey on Live Video Streaming Over Peer to Peer Network. International Journal of Computer Trends and Technology (IJCTT), 43(1), 5-7.

Lee, J. B., & Kalva, H. (2011). Video Coding Techniques and Standards-Introduction, The Need For Compression, Perceptual Redundancies, The Human Visual System, Sensitivity To Temporal Frequencies. Retrieved, 6, 15.

Liu, Y., Guo, Y., & Liang, C. (2008). A survey on peer-to-peer video streaming systems. Peer-to-Peer Networking and Applications, 1(1), 18-28. doi: 10.1007/s12083-007-0006-y

Kumar, R. J. N., & Kumar, A. P. (2016). Improving QOS in Live Video Streaming for Low-motion Videos Through Frame Indexing Method. International Journal of Communicaton Technology for Social Networking Services, 4(1), 9-22. doi: http://dx.doi.org/10.21742/ijctsns.2016.4.1.02

Mahini, H., Dehghan, M., Navidi, H., & Rahmani, A. M. (2017). Peer-assisted video streaming based on network coding and Beer-Quiche game. AEU-International Journal of ElectronicsandCommunications,73,34-45.

Mittal, S., & Vetter, J. S. (2016). A survey of architectural approaches for data compression in cache and main memory systems. IEEE Transactions on Parallel and Distributed Systems, 27(5), 1524-1536. doi: DOI 10.1109/TPDS.2015.2435788

Momoh M. O., B. Yahaya, A. A. Abdulrazaq, H.M Katagum & U. Abubakar (2019) “Towards Achieving an Optimal Bandwidth Utilization in Live Video Streaming†Proceedings of the Academic Conference of Cambridge Research and Publications International on 21st Century Challenges and Opportunities: Multidisciplinary Approaches (Vol. 19 No.3) P 55-61, 19th – 20th December, 2019 University of Maiduguri, Maiduguri, Borno State, Nigeria

Taksande, S., Joshi, K., Chikaraddi, V., & Raksha, S. (2015). Video Streaming Techniques and Issues. International Journal of Advanced Research in Computer Science & Technology, 3(1), 141-144.

Parodkar, M. S., & Bade, D. (2015). Improve the performance of p2p live streaming. International Journal of Computer Science and Mobile Computing, 4(2), 28-32.

Ponlatha, S., & Sabeenian, R. S. (2013). Comparison of video compression standards. International Journal of Computer and Electrical Engineering, 5(6), 549-554.

Wang, H., Hu, R., Tu, W., & Zhang, C. (2013). The perceptual and statistics characteristic of spatial cues and its application. International Journal of Computer Science Issues (IJCSI), 10(1), 621.

Zhang, G., Hu, C., Xing, C., Wang, N., & Wei, X. (2015). A novel scheme for improving quality of service of live streaming. Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing. 39(4), 457-462. doi: 10.1109/3PGCIC.2014.93

Zou, X. K., Erman, J., Gopalakrishnan, V., Halepovic, E., Jana, R., Jin, X., Sinha, R. K. (2015). Can accurate predictions improve video streaming in cellular networks? Paper presented at the Proceedings of the 16th International Workshop on Mobile Computing Systems and Applications.57-62.


Refbacks

  • There are currently no refbacks.