Development of a Web-Camera Video Compression Application with Varibale Rate

Student: Chizha Dmitrii

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2021

Within the framework of the work, the possibility of applying machine learning algorithms based on artificial neural networks to solving the problem of video image compression has been investigated. The aim of the work is to develop a video compression algorithm that uses information about the content of the video image and the bandwidth of the communication channel. Author: student of the National Research University Higher School of Economics of Perm Chizha Dmitry. Department of Information Technologies in Business. The final qualifying work contains x A4 pages of the main text, including 3 chapters: domain analysis, video codec design, video codec development and testing. The work contains 18 figures and 6 tables. The appendices contain the terms of reference; diagrams describing the architecture of the video codec. The bibliographic list consists of 18 sources.

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses