Nokia Corporation

Nokia Technologies Oy

Nokia Mobile Phones Limited

Core Wireless Licensing S.a.r.l.

Other

Interdigital Madison Patent Holdings, Sas

Pcms Holdings, Inc.

Pasi Sakari Ojala

Ari Lakaniemi

Janne Vainio

Hannu J Mikkola

Jari Mäkinen

Jussi Virolainen

Ole Kirkeby

Radu Ciprian Bilcu

Kari Juhani Järvinen

Julia Turku

Miska Matias Hannuksela

Antti Johannes Eronen

Kari Juhani Jarvinen

Marko Luomi

Jani Rotola-Pukkila

Ari Hourunranta

Petri J Haavisto

Vesa T Ruoppila

Jari Selin

Kari J&auml;rvinen

Teemu Parkkinen

Radu Bilcu

Julia Jakka

Systems and methods described herein are provided for displaying video content in a multi-device environment where video content may be synchronized between two or more display devices. Video content displayed on one or more of the display devices may be a cropped version (or region of interest) of video content shown on a main display. Some embodiments may make recommendations to determine regions of interest based on contextual cues and user preferences. For some embodiments, a user may indicate a desire to follow a traced object, which may be used to determine regions of interest.

Tailored video streaming for multi-device presentations

The present disclosure describes systems and methods for generating and utilizing contextual watermarks. In accordance with an embodiment the method includes: receiving reference sensor data characterizing a proprietary event; receiving a plurality of media streams for potential distribution, each media stream including respective embedded contextual sensor data; for each stream, comparing the reference sensor data with the respective embedded contextual sensor data to identify streams generated at the proprietary event; and distributing only those media streams that are not identified as being generated at the proprietary event.

Method and systems for generating and utilizing contextual watermarking

An apparatus () comprises&#x2014;one or more inputs (IN, IN) to receive two or more different audio signals (S, S),&#x2014;an input (IN) to receive a direction signal (S) and&#x2014;a signal processing unit () arranged to generate a processed audio signal (S) from said two or more different audio signals (S, S), said processed audio signal (S) comprising an enhanced audio signal (S) corresponding to a sound (SND) originating from a location (xy) indicated by said direction signal (S).

Method and apparatus for processing audio signals

A method including: receiving at least a first input audio channel and a second input audio channel; and using an inter-channel prediction model to form at least an inter-channel direction of reception parameter.

Multi-channel audio processing

An apparatus includes at least one processor and at least one memory including computer code. The at least one memory and the computer code are configured with the at least one processor to cause the apparatus to determine at least one impulse response model pulse train from at least one audio signal, and to determine a presence of an object from the at least one impulse model pulse train.

Proximity detecting apparatus and method based on audio signals

A method comprising determining a reverberation time estimate for an audio signal from a first part of an encoded audio signal representing the audio signal.

Reverberation estimator

A method including: obtaining phase information dependent upon a time-varying phase difference between captured audio channels; obtaining sampling information relating to time-varying spatial sampling of the captured audio channels; and processing the phase information and the sampling information to determine audio control information for controlling spatial rendering of the captured audio channels.

Positional disambiguation in spatial audio

A method and related apparatuses, the method comprising: setting up a network of a plurality of mobile devices (); obtaining sensory data from at least one mobile device of the network (); analyzing the obtained sensory data in order to detect at least one predetermined event (); and in response to detecting at least one predetermined event (), providing an indication about the detected event to at least one mobile terminal of the network.

Ad-hoc surveillance network

Apparatus comprising at least one processor and at least one memory including computer code, the at least one memory and the computer code configured to with the at least one processor cause the apparatus to at least perform: determining at least one impulse response model pulse train from at least one audio signal; and determining an presence of an object from the at least one impulse model pulse train.

A method comprising: sampling received audio at a first rate to produce a first audio signal; transforming the first audio signal into a sparse domain to produce a sparse audio signal; re-sampling of the sparse audio signal to produce a re-sampled sparse audio signal; and providing the re-sampled sparse audio signal, wherein bandwidth required for accurate audio reproduction is removed but bandwidth required for spatial audio encoding is retained AND/OR a method comprising: receiving a first sparse audio signal for a first channel; receiving a second sparse audio signal for a second channel; and processing the first sparse audio signal and the second sparse audio signal to produce one or more inter-channel spatial audio parameters.

Sparse audio

An apparatus for enhancing a multichannel audio signal comprising at least two channels configured to: estimate a value representing a direction of arrival associated with a first audio signal from at least a first channel and a second audio signal from at least a second channel of at least two channels of a multichannel audio signal; determine a scaling factor dependent on the direction of arrival associated with the first audio signal and the second audio signal; and apply the scaling factor to a parameter associated with a difference in audio signal levels between the first audio signal and the second audio sign.

Apparatus and method for adjusting spatial cue information of a multichannel audio signal

A method comprising: receiving a plurality of images corresponding to a time period covering the intended moment for releasing the shutter; receiving an audio signal associated with the plurality of images using audio capturing means; analyzing the received audio signal in order to determine an auditory event associated with a desired output image; and selecting at least one of the plurality of images on the basis of the analysis of the received audio signal for further processing in order to obtain the desired output image.

Audio-controlled image capturing

It is inter alia disclosed to estimate at least one of a location and an orientation of a first-type device () at least based on respective location estimates for one or more signal sources (), wherein at least one location estimate for a signal source () of the one or more signal sources is determined at least based on respective signals from the signal source () received at one or more second-type devices () and respective locations of the one or more second-type devices (), and respective position relationships between the one or more signal sources () and the first-type device ().

Collaborative location/orientation estimation

For controlling a time-scaling of an audio signal, the audio signal being distributed to a sequence of frames that are received via a packet switched network, a change in a delay of received frames is detected. Moreover, an amount of time scaling that is to be applied to received frames for compensating for the detected change is determined. Further, a kind of the change is determined. Further, a length of a time window within which a time scaling of the determined amount is to be completed is determined depending on the determined kind of the change.

Controlling a time-scaling of an audio signal

Encoding audio signals with selecting an encoding mode for encoding the signal categorizing the signal into active segments having voice activity and non-active segments having substantially no voice activity by using categorization parameters depending on the selected encoding mode and encoding at least the active segments using the selected encoding mode.

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Kirkkonummi, Finland

Pasi Sakari Ojala