Dolby Laboratories

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.

Audio coding systems and methods using spectral component coupling and spectral component regeneration

Abstract: An audio encoder discards spectral components of an input signal and uses channel coupling to reduce the information capacity requirements of an encoded signal. Channel coupling represents selected spectral components of multiple channels of signals in a composite form. An audio decoder synthesizes spectral components to replace the discarded spectral components and generates spectral components for individual channel signals from the coupled-channel signal. The encoder provides scale factors in the encoded signal that improve the efficiency of the decoder to generate output signals that substantially preserve the spectral energy of the original input signals.

Scene change detection around a set of seed points in media data

Abstract: Techniques for scene change detection around seed points in media data are provided. Media features of many different types may be extracted from the media data. One or more statistical patterns of media features in a plurality of time-wise intervals around a plurality of seed time points of the media data may be determined using one or more types of features extractable from the media data. At least one of the one or more types of features comprises a type of features that captures structural properties, tonality including harmony and melody, timbre, rhythm, loudness, stereo mix, or a quantity of sound sources as related to the media data. A plurality of beginning scene change points and a plurality of ending scene change points in the media data may be detected, based on the one or more statistical patterns, for the plurality of seed time points in the media data.

Layer Decomposition in Hierarchical VDR Coding

Abstract: Techniques use multiple lower bit depth codecs to provide higher bit depth, high dynamic range, images from an upstream device to a downstream device. A base layer and one or more enhancement layers may be used to carry video signals, wherein the base layer cannot be decoded and viewed on its own. Lower bit depth input image data to base layer processing may be generated from higher bit depth high dynamic range input image data via advanced quantization to minimize the volume of image data to be carried by enhancement layer video signals. The image data in the enhancement layer video signals may comprise residual values, quantization parameters, and mapping parameters based in part on a prediction method corresponding to a specific method used in the advanced quantization. Adaptive dynamic range adaptation techniques take into consideration special transition effects, such as fade-in and fade-outs, for improved coding performance.

Optical Mixing and Shaping System for Display Backlights and Displays Incorporating the Same

Abstract: A backlight (42, 62) for a display (40, 60) comprises a plurality of independently controllable light sources (48) and inclined surfaces inclining in a radially outward direction from each light source for shaping the distribution of emitted light. The light sources (48) may each comprise a group of differently-colored light emitters. The backlight 842, 62) may include light integrators (64) configured to mix light of the differently-colored light emitters. Inclined surfaces (44) for shaping the distribution of emitted light may be arranged around exits of the light integrators (64).

Trend analysis in content identification based on fingerprinting

Abstract: Fingerprint-based content identification is described. Bin-counting detects linear trends based on data points that are generated from a set of query fingerprints, which are extracted from a query content item and a matching set of corresponding reference content items that are extracted from a reference content item. RANSAC may detect trends based on confidence scores that are computed for multiple candidate content items. The trends detected for the candidate content items are compared against a threshold in order of decreasing confidence score until a trend that satisfies the threshold is found. A ranking-based mechanism for fingerprint-based content identification may use a bin-counting or RANSAC-based trend detection mechanism to identify duplicate or multiple reference content items that all match the same query content item.