Multimedia Compression Techniques for Streaming
Preethal Rao1, Krishna Prakasha K2, Vasundhara Acharya3
1Preethal Rao, Department of Information and Communication Technology, Manipal Institute of Technology (Manipal Academy of Higher Education), Manipal, India.
2Krishna Prakasha K*, Department of Information and Communication Technology, Manipal Institute of Technology (Manipal Academy of Higher Education), Manipal, India.
3Vasundhara Acharya, Department of Computer Science & Engineering Manipal Institute of Technology (Manipal Academy of Higher Education), Manipal, India.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 3876-3881 | Volume-8 Issue-12, October 2019. | Retrieval Number: L3383081219/2019©BEIESP | DOI: 10.35940/ijitee.L3383.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With the growing popularity of streaming content, streaming platforms have emerged that offer content in resolutions of 4k, 2k, HD etc. Some regions of the world face a terrible network reception. Delivering content and a pleasant viewing experience to the users of such locations becomes a challenge. audio/video streaming at available network speeds is just not feasible for people at those locations. The only way is to reduce the data footprint of the concerned audio/video without compromising the quality. For this purpose, there exists algorithms and techniques that attempt to realize the same. Fortunately, the field of compression is an active one when it comes to content delivering. With a lot of algorithms in the play, which one actually delivers content while putting less strain on the users’ network bandwidth? This paper carries out an extensive analysis of present popular algorithms to come to the conclusion of the best algorithm for streaming data. Both audio and video compression are put under scrutiny and are compared on various aspects prime to delivery of data.
Keywords: Image Compression, Industry Statistics, Data Compression, Data Analysis.
Scope of the Article: Industry and their Solutions, Communications