Current Search: Adzic, Velibor (x)
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Title
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Perceptual Video Coding.
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Creator
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Adzic, Velibor, Kalva, Hari, Graduate College
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Abstract/Description
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We are presenting work that is aimed at employing characteristics of human visual system in optimizing video coding compression. Preliminary experiments that include temporal and motion masking show results with significant savings in bitrate compared to state of the art coding algorithms.
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Date Issued
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2014
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PURL
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http://purl.flvc.org/fau/fd/FA00005799
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Format
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Document (PDF)
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Title
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Perceptual methods for video coding.
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Creator
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Adzic, Velibor, Kalva, Hari, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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The main goal of video coding algorithms is to achieve high compression efficiency while maintaining quality of the compressed signal at the highest level. Human visual system is the ultimate receiver of compressed signal and final judge of its quality. This dissertation presents work towards optimal video compression algorithm that is based on the characteristics of our visual system. Modeling phenomena such as backward temporal masking and motion masking we developed algorithms that are...
Show moreThe main goal of video coding algorithms is to achieve high compression efficiency while maintaining quality of the compressed signal at the highest level. Human visual system is the ultimate receiver of compressed signal and final judge of its quality. This dissertation presents work towards optimal video compression algorithm that is based on the characteristics of our visual system. Modeling phenomena such as backward temporal masking and motion masking we developed algorithms that are implemented in the state-of- the-art video encoders. Result of using our algorithms is visually lossless compression with improved efficiency, as verified by standard subjective quality and psychophysical tests. Savings in bitrate compared to the High Efficiency Video Coding / H.265 reference implementation are up to 45%.
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Date Issued
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2014
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PURL
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http://purl.flvc.org/fau/fd/FA00004074, http://purl.flvc.org/fau/fd/FA00004074
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Subject Headings
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Algorithms, Coding theory, Digital coding -- Data processing, Imaging systems -- Image quality, Perception, Video processing -- Data processing
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Format
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Document (PDF)
