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Colin Doutre
Researcher at University of British Columbia
Publications - 27
Citations - 822
Colin Doutre is an academic researcher from University of British Columbia. The author has contributed to research in topics: Pixel & Data compression. The author has an hindex of 10, co-authored 27 publications receiving 774 citations. Previous affiliations of Colin Doutre include Dolby Laboratories.
Papers
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HEVC: The New Gold Standard for Video Compression
TL;DR: The limitations of current technologies prompted the International Standards Organization/International Electrotechnical Commission Moving Picture Experts Group (MPEG) and International Telecommunication Union-Telecommunication Standardization Sector Video Coding Experts group (VCEG) to establish the JCT-VC, with the objective to develop a new high-performance video coding standard.
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HEVC: The New Gold Standard for Video Compression: How Does HEVC Compare with H.264/AVC?
TL;DR: In this paper, the Joint Collaborative Team on Video Coding (JCT-VC) was established with the objective to develop a new high-performance video coding standard for mobile applications.
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Color Correction Preprocessing for Multiview Video Coding
Colin Doutre,Panos Nasiopoulos +1 more
TL;DR: Experimental results show that when multiview video is compressed with joint multIView video model, the proposed method increases compression efficiency by up to 1.0 dB in luma peak signal-to-noise ratio (PSNR) compared to compressing the original uncorrected video.
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H.264-Based Compression of Bayer Pattern Video Sequences
TL;DR: Simulations show both proposed methods for compressing CFA video prior to demosaicking give better compression efficiency than the demosaick-first approach at high bit rates, and thus are suitable for applications, such as digital camcorders, where high quality video is required.
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Correction of Clipped Pixels in Color Images
TL;DR: This paper proposes an algorithm to enhance both the luma and chroma of the clipped pixels and shows that it is very effective in restoring the color of clipped pixels.