Institution
Dolby Laboratories
Company•Amsterdam, Netherlands•
About: Dolby Laboratories is a company organization based out in Amsterdam, Netherlands. It is known for research contribution in the topics: Audio signal & Audio signal flow. The organization has 956 authors who have published 1726 publications receiving 29456 citations.
Papers published on a yearly basis
Papers
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01 Nov 2012TL;DR: In this article, an encoder receives a sequence of images in extended or visual dynamic range (VDR) and a dynamic range compression function and associated parameters are selected to convert the input image into a second image with a lower dynamic range.
Abstract: An encoder receives a sequence of images in extended or visual dynamic range (VDR). For each image, a dynamic range compression function and associated parameters are selected to convert the input image into a second image with a lower dynamic range. Using the input image and the second image, a residual image is computed. The input VDR image sequence is coded using a layered codec that uses the second image as a base layer and a residual image that is derived from the input and second images as one or more residual layers. Using the residual image, a false contour detection method (FCD) estimates the number of potential perceptually visible false contours in the decoded VDR image and iteratively adjusts the dynamic range compression parameters to prevent or reduce the number of false contours. Examples that use a uniform dynamic range compression function are also described.
20 citations
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19 Feb 2015TL;DR: In this paper, it is determined whether specific spatial regions in the images correspond to a specific region of luminance levels, and signal processing and video compression operations are performed on sets of samples in the specific regions.
Abstract: Sample data and metadata related to spatial regions in images may be received from a coded video signal. It is determined whether specific spatial regions in the images correspond to a specific region of luminance levels. In response to determining the specific spatial regions correspond to the specific region of luminance levels, signal processing and video compression operations are performed on sets of samples in the specific spatial regions. The signal processing and video compression operations are at least partially dependent on the specific region of luminance levels.
20 citations
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08 Sep 2014TL;DR: In this paper, the default dynamic range compression (DRC) curve and non-default gain profile are generated for a non default gain profile based on the default DRC curve, and differential gains are generated.
Abstract: In an audio encoder, for audio content received in a source audio format, default gains are generated based on a default dynamic range compression (DRC) curve, and non-default gains are generated for a non-default gain profile. Based on the default gains and non-default gains, differential gains are generated. An audio signal comprising the audio content, the default DRC curve, and differential gains is generated. In an audio decoder, the default DRC curve and the differential gains are identified from the audio signal. Default gains are re-generated based on the default DRC curve. Based on the combination of the re-generated default gains and the differential gains, operations are performed on the audio content extracted from the audio signal.
20 citations
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TL;DR: The goal of this paper is to provide an overview of the CfP responses for the HDR/WCG category, and a description of the specific HDR/ WCG technologies submitted to the Cfp.
Abstract: The ITU-T Video Coding Experts Group and the ISO/IEC Moving Picture Experts Group issued a Call for Proposals (CfP) on video compression with capability beyond HEVC in October 2017. The CfP considered three categories of content – Standard Dynamic Range, High Dynamic Range and Wide Colour Gamut (HDR/WCG), and 360° Omni-directional video. As a result of the CfP process, the development of a new video coding standard, named Versatile Video Coding (VVC), was initiated. The goal of this paper is to provide an overview of the CfP responses for the HDR/WCG category. The paper includes a summary of work leading to the development of the CfP, a presentation of the CfP results for the HDR/WCG category, and a description of the specific HDR/WCG technologies submitted to the CfP.
20 citations
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15 Oct 1998TL;DR: Several audio signal processing techniques may be used in various combinations to improve the quality of audio represented by an information stream formed by splice editing two or more other information streams as mentioned in this paper, particularly useful in applications that bundle audio information with video information.
Abstract: Several audio signal processing techniques may be used in various combinations to improve the quality of audio represented by an information stream formed by splice editing two or more other information streams. The techniques are particularly useful in applications that bundle audio information with video information. In one technique, gain-control words conveyed with the audio information stream are used to interpolate playback sound levels across a splice. In another technique, special filterbanks or forms of TDAC transforms are used to suppress aliasing artifacts on either side of a splice. In yet another technique, special filterbanks or crossfade window functions are used to optimize the attenuation of spectral splatter created at a splice. In a further technique, audio sample rates are converted according to frame lengths and rates to allow audio information to be bundled with, for example, video information. In yet a further technique, audio blocks are dynamically aligned so that proper synchronization can be maintained across a splice. An example for 48 kHz audio with NTSC video is discussed.
20 citations
Authors
Showing all 959 results
Name | H-index | Papers | Citations |
---|---|---|---|
Wolfgang Heidrich | 64 | 312 | 15854 |
Rabab K. Ward | 56 | 549 | 14364 |
Lorne A. Whitehead | 42 | 232 | 6661 |
Scott J. Daly | 41 | 230 | 5543 |
Michael E. Miller | 40 | 225 | 5264 |
Alireza Marandi | 39 | 140 | 6116 |
Wolfgang Stuerzlinger | 35 | 230 | 5192 |
Lars Villemoes | 33 | 180 | 2815 |
Joan Serrà | 31 | 139 | 4046 |
Dong Tian | 31 | 116 | 3621 |
Peng Yin | 30 | 133 | 2454 |
Ning Xu | 28 | 117 | 2705 |
Nicolas R. Tsingos | 28 | 110 | 2749 |
Panos Nasiopoulos | 27 | 271 | 3706 |
Zhibo Chen | 27 | 344 | 3385 |