Sun Patent Trust

Panasonic Intellectual Property Corporation of America

Other

Velos Media, LLC

Panasonic Corporation

Realtime Adaptive Streaming LLC

Hochschule Rheinmain University of Applied Sciences Wiesbaden Ruesselsheim

Hochschule Rheinmain

Velos Media International Limited

Hochschule Rheinmain University of Applied Sciences Wiesbaden Rüsselsheim

Adaptive Streaming Ltd.

Musmann, Hans-Georg

Narroschke, Matthias

Matthias Narroschke

Thomas Wedi

Semih Esenlik

Anand Meher Kotra

Hans-Georg Musmann

Hisao Sasai

Virginie Drugeon

Steffen Wittmann

Steffen Kamp

Andreas Kah

Semith Esenlik

An image decoding method for decoding a bitstream including a coded signal resulting from coding tiles and slices into which an image is partitioned, the method including decoding the coded signal, wherein each of the slices is either a normal slice having, in a header, information used for an other slice or a dependent slice which is decoded using information included in a slice header of another slice, and when the normal slice starts from a position other than a beginning of a first tile, a second tile coded next to the first tile does not start from the dependent slice.

Image decoding method, image coding method, image decoding apparatus, image coding apparatus, and image coding and decoding apparatus

An image includes a plurality of rows of largest coding units (LCUs). Encoding the image includes determining whether or not wavefront parallel processing is enabled, and partitioning the plurality of rows of LCUs to comprise a normal slice and a group of dependent slices. The normal slice includes at least one LCU, and the group of dependent slices includes at least one LCU and consists of every dependent slice that uses information from a slice header of the normal slice for encoding. Based on the determination that wavefront parallel processing is enabled, the partitioning of the plurality of rows of LCUs is restricted such that a last LCU in the group of dependent slices belongs in a same row as a first LCU of the normal slice when the first LCU of the normal slice is not a first LCU of the row.

An image processing method of performing filtering on image blocks using a plurality of deblocking filters having different filter strengths includes: a first parameter calculating step of calculating a first parameter indicating a boundary strength; a second parameter calculating step of calculating a second parameter indicating a limit value for each of the deblocking filters, based on the first parameter and a quantization parameter; and a selecting step of selecting a deblocking filter to be used in the filtering from among the deblocking filters, using one or more threshold values which are determined based on the second parameter.

Image processing method and image processing apparatus

The present invention relates to methods and devices for coding image data, where a prediction error block is partitioned into an element-wise linear combination. The prediction error block contains prediction errors of a block of image data. The linear combination then contains a first block of first prediction errors and a second block of second prediction errors. The second block is transformed and coded together with the first block. The invention additionally relates to methods and devices for decoding image data, where a bit stream contains a first block of prediction errors and a transformed second block of second prediction errors. Following an inverse transform of the transformed second block, a prediction error block is determined by a linear combination containing the first block and the inverse-transformed second block.

Methods and devices for coding image data

The invention relates to a computer-implemented method for estimating the movement of an image position of an image feature between a first image and a second image. The method includes: Determining a set of image windows in the first image, each image window having the image feature; Identifying at least a portion of the set of image windows in the second image; For the portion of the set of image windows, evaluating the quality of an assignment of each image window in the first image to the given image window in the second image, and selecting one of the image windows on the basis of the evaluation; and estimating the movement of the image position of the image feature using the selected image window.

Estimating the movement of an image position

The present disclosure relates to deblocking filtering which is applicable to smoothing the block boundaries in an image or video coding and decoding. In particular, the deblocking filtering is either strong or weak, wherein the clipping is performed differently in the strong filtering and the weak filtering.

Efficient rounding for deblocking

A dependency indication is signaled within the beginning of a packet, that is, within the adjacent of a slice header to be parsed or a parameter set. This is achieved, for example, by including the dependency indication at the beginning of the slice header, preferably after a syntax element identifying the parameter set and before the slice address, by including the dependency indication before the slice address, by providing the dependency indication to a NALU header using a separate message, or by using a special NALU type for NALUs carrying dependent slices.

Image coding method, image decoding method, image coding apparatus, image decoding apparatus, and image coding and decoding apparatus

The present disclosure relates to deblocking filtering, which may be advantageously applied for block-wise encoding and decoding of images or video signals. In particular, the present disclosure relates to an improved memory management in an automated decision on whether to apply or skip deblocking filtering for a block and to selection of the deblocking filter. The decision is performed on the basis of a segmentation of blocks in such a manner that memory usage is optimized. Preferably, the selection of appropriate deblocking filters is improved so as to reduce computational expense.

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Schaafheim, Germany

Matthias Narroschke