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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Johns Hopkins University 3 credits Electrical and Computer Engineering
This course provides an introduction to the basic concepts and techniques used for the compression of digital images and video. Video compression requirements, algorithm components, and ISO Standard video processing algorithms are studied. Image compression components that are used in video compression methods are also identified. Since image and video compression is now integrated in many commercial and experimental video processing methods, knowledge of the compression methods’ effects on image and video quality are factors driving the usability of that data in many data exploitation activities. Topics to be covered include introduction to video systems, Fourier analysis of video signals, properties of the human visual system, motion estimation, basic video compression techniques, videocommunication standards, and error control in video communications. Video processing applications that rely on compression algorithms are also studied. A mini-project is required. Prerequisite(s): EN.525.627 Digital Signal Processing.;***Computer Science students only: Must complete core courses first (EN.605.601 AND EN.605.611 AND EN.605.621).;***Cybersecurity students only: Must complete core courses first (EN.605.621 AND EN.695.601 AND EN.695.641).
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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.