Telefonaktiebolaget Lm Ericsson (publ)

Spotify Ab

Andreas Rossholm

Martin Pettersson

Per Thorell

Kenneth Andersson

Richard Mitic

A training audio track feature vector is generated for training audio tracks. The training audio track feature vector includes training track vector components based on one or more feature sets. Each of the training track vector components is grouped into at least one cluster. Audio filters are mapped to one or more of the clusters, thereby building a feature-filter mapping function. Mapping functions from filters to audio output devices and/or physical space acoustic features can also be built. A media playback device receives the mapping function(s) and is enabled to apply the mapping function(s) to a query audio track feature vector to identify at least one audio filter corresponding to the query audio track. The media playback device can then apply the at least one audio filter to the query audio track.

Systems, methods and computer program products for selecting audio filters

An objective video quality estimation technique is disclosed. The technique may be based on a video bitstream model, using parameters taken from the video coding layer of the bitstream for estimating the quality of the video. The technique can be implemented as a method, a computer program, a computer program product, a device, or any one of a server node, a client terminal and a network node comprising the device. As a method embodiment, the technique comprises receiving a video bitstream comprising a series of picture frames; determining an error occurrence in a picture frame of the video bitstream; determining at least one of a temporal propagation and a spatial propagation of the error; and estimating the quality of the video bitstream based on result of the determination.

Technique for video quality estimation

In a method for extracting information from an encoded bit stream, the extracted information may be used for improving bit stream quality assessment, or for adapting a decoding sub-system. From an encoded bit stream, received from a bit stream source, complexity related information that is indicative of the complexity of the encoding of said bit stream is extracted. On the basis of said extracted complexity related information one or more data settings are then selected, after which the data settings may be used as an input for improving bit stream quality assessment at a decoding device or a network node, or for adapting a bit stream decoding sub-system at a decoding device.

Methods of and arrangements for processing an encoded bit stream

A method for encoding a video sequence of video frames. Each video frame includes a plurality of macro blocks. One video frame of the video sequence is encoded based on a first quantization parameter value for generating a first bit stream of encoded macro blocks (). Transmission of a subset of the encoded macro blocks from the first bit stream is initiated (). It is determined if the first bit stream exceeds a bit budget. If the first bit stream is determined to exceed the bit budget, a second quantization parameter value, which is larger than the first quantization parameter value, is generated. Otherwise, the second quantization parameter value, which is smaller than the first quantization parameter value, is generated. At least a part of the video frame is encoded based on the second quantization parameter value for generating a second bit stream of encoded macro blocks (). The first bit stream and the second bit stream are then merged (). An apparatus for performing the method is also disclosed.

Method and apparatus for video encoding

A method and apparatus for processing a digital image in a Mobile Equipment operating in a telecommunications network. The digital image includes a frame of data having a plurality of pixels with data. The data of each pixel has a luminance value and a chrominance value. The method begins by obtaining chrominance value for a specified pixel of the digital image. Responsive to the obtained chrominance value, a strength to filter the specified pixel of digital image is determined. The specified pixel is then selectively and adaptively filtered at the determined strength of the filter. Preferably, chrominance values and luminance values for the specified pixel and an adjacent pixel is determined. A threshold for a variation in the range between a highest chrominance level and a lowest chrominance level of the specified pixel and the adjacent pixel is then set. The variation for the specified pixel is determined, and responsive to the value of the variation, low-pass filtering of the specified pixel is applied.

Apparatus and method for increasing coding efficiency with an adaptive pre-filter

An adaptive filter that, in one embodiment, filters rows of pixels of an image in a vertical direction, stores the results in row vectors, and then filters the row vectors in the horizontal direction, and displays the results or stores the results for later display. Coefficients of a reference filter are modified based on the output from the reference filter through a table-lookup process that accesses tables of modified filter coefficients. The output of the modified filter is added to a delayed version of the input to provide the adaptive filter output.

Growing community of inventors

Malmö, Sweden

Andreas Rossholm