Video Super Resolution
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Video Super Resolution
Video super-resolution (VSR) is the process of generating high-resolution video frames from the given low-resolution video frames. Unlike single-image super-resolution (SISR), the main goal is not only to restore more fine details while saving coarse ones, but also to preserve motion consistency. There are many approaches for this task, but this problem still remains to be popular and challenging. ---- Mathematical explanation Most research considers the degradation process of frames as : \ = (\ * k)\downarrow + \ where: :\ — original high-resolution frame sequence, :k — blur kernel, :* — convolution operation, :\downarrow — downscaling operation, :\ — additive noise, :\ — low-resolution frame sequence. Super-resolution is an inverse operation, so its problem is to estimate frame sequence \ from frame sequence \ so that \ is close to original \. Blur kernel, downscaling operation and additive noise should be estimated for given input to achieve better results. ...
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SISR And VSR Comparison
Semantic Interpretation for Speech Recognition (SISR) defines the syntax and semantics of annotations to grammar rules in the Speech Recognition Grammar Specification (SRGS). Since 5 April 2007, it is a World Wide Web Consortium recommendation. By building upon SRGS grammars, it allows voice browser A voice browser is a software application that presents an interactive voice user interface to the user in a manner analogous to the functioning of a web browser interpreting Hypertext Markup Language (HTML). Dialog documents interpreted by voice br ...s via ECMAScript to semantically interpret complex grammars and provide the information back to the application. For example, it allows utterances like "I would like a Coca-cola and three large pizzas with pepperoni and mushrooms." to be interpreted into an object that can be understood by an application. For example, the utterance could produce the following object named : If used against this grammar that includes SISR markup in a ...
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