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Institution

Dolby Laboratories

CompanyAmsterdam, 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
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Patent
18 Oct 2012
TL;DR: In this paper, the hierarchical motion estimation may provide motion information and pixel correlation among temporal pictures at different resolutions, which may be utilized in motion related video processing applications such as video coding, motion compensation based denoising, interpolation, and others to improve the quality and/or speed of motion predictions.
Abstract: Systems and methods for hierarchical motion estimation are described The hierarchical motion estimation may provide motion information and pixel correlation among temporal pictures at different resolutions, which may be utilized in motion related video processing applications such as video coding, motion compensation based denoising, interpolation, and others to improve the quality and/or speed of motion predictions Systems and methods of video processing that include pre- and post-processing utilizing information from hierarchical motion estimations are also discussed Specifically, systems and methods of video processing with hierarchical motion estimation instead of or in addition to other motion estimations are shown

20 citations

Patent
Su Guan-Ming1
03 May 2018
TL;DR: In this article, the in-loop, region-based, reshaping for the coding of high-dynamic range video is described, using a high bit-depth buffer to store input data and previously decoded reference data.
Abstract: Systems and methods are disclosed for in-loop, region-based, reshaping for the coding of high-dynamic range video. Using a high bit-depth buffer to store input data and previously decoded reference data, forward and backward, in-loop, reshaping functions allow video coding and decoding to be performed at a target bit depth lower than the input bit depth. Methods for the clustering of the reshaping functions to reduce data overhead are also presented.

20 citations

Patent
10 Mar 2014
TL;DR: In this article, a set-up process for rendering audio data may involve receiving reproduction speaker location data and pre-computing gain values for each of the virtual sources according to the reproduction speaker locations data and each virtual source location.
Abstract: Multiple virtual source locations may be defined for a volume within which audio objects can move. A set-up process for rendering audio data may involve receiving reproduction speaker location data and pre-computing gain values for each of the virtual sources according to the reproduction speaker location data and each virtual source location. The gain values may be stored and used during “run time,” during which audio reproduction data are rendered for the speakers of the reproduction environment. During run time, for each audio object, contributions from virtual source locations within an area or volume defined by the audio object position data and the audio object size data may be computed. A set of gain values for each output channel of the reproduction environment may be computed based, at least in part, on the computed contributions. Each output channel may correspond to at least one reproduction speaker of the reproduction environment.

20 citations

Patent
24 Aug 2009
TL;DR: In this article, a method for determining at least one updated filter coefficient of an adaptive filter (22) adapted by an LMS algorithm is proposed, in particular filter coefficients of an LPC whitening filter.
Abstract: The application relates to a method for determining at least one updated filter coefficient of an adaptive filter (22) adapted by an LMS algorithm. According to the method, filter coeffi-cients of a first whitening filter (25') are determined, in particular filter coefficients of an LPC whitening filter. The first whitening filter (25') generates a filtered signal. A normaliza-tion value is determined based on one or more computed values obtained in the course of determining the filter coefficients of the first whitening filter (25'). The normalization value is associated with the energy of the filtered signal. At least one updated filter coefficient of the adaptive filter (22) is determined in dependency on the filtered signal and the normaliza-tion value. Preferably, updated filter coefficients for all filter coefficients of the adaptive filter (22) are determined.

20 citations

Patent
21 Mar 2013
TL;DR: In this article, an audio processing method and apparatus are described in which at least one first sub-band of a first audio signal is suppressed to obtain a reduced first signal with reserved sub-bands.
Abstract: An audio processing method and apparatus are described In one embodiment, at least one first sub-band of a first audio signal is suppressed to obtain a reduced first audio signal with reserved sub-bands; suppressing at least one second sub-band of the at least one second audio signal to obtain at least one reduced second audio signal with reserved sub-bands; and mixing the reduced first audio signal and at least one reduced second audio signal Alternatively, a first spatial auditory property is assigned to a first audio signal so that the first audio signal may be perceived as originating from a first position Alternatively, rhythmic similarity between at least two audio signals is detected, and time scaling is applied to an audio signal in response to relatively high rhythmic similarity between the audio signal and the other audio signal(s); and then at least two audio signals are mixed

20 citations


Authors

Showing all 959 results

NameH-indexPapersCitations
Wolfgang Heidrich6431215854
Rabab K. Ward5654914364
Lorne A. Whitehead422326661
Scott J. Daly412305543
Michael E. Miller402255264
Alireza Marandi391406116
Wolfgang Stuerzlinger352305192
Lars Villemoes331802815
Joan Serrà311394046
Dong Tian311163621
Peng Yin301332454
Ning Xu281172705
Nicolas R. Tsingos281102749
Panos Nasiopoulos272713706
Zhibo Chen273443385
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
20223
202126
202082
201989
201869