Blackberry Corporation

Velos Media, LLC

Amazon Technologies, Inc.

Velos Media International Limited

Nguyen Nguyen

Dake He

Tianying Ji

David Flynn

En-hui Yang

Gaëlle Christine Martin-Cocher

Ryan Charles Schmitt

Jason Neil Yakimovich

Methods of encoding and decoding for video data are described for encoding or decoding multi-level significance maps. Distinct context sets may be used for encoding the significant-coefficient flags in different regions of the transform unit. In a fixed case, the regions are defined by coefficient group borders. In one example, the upper-left coefficient group is a first region and the other coefficient groups are a second region. In a dynamic case, the regions are defined by coefficient group borders, but the encoder and decoder dynamically determine in which region each coefficient group belongs. Coefficient groups may be assigned to one region or another based on, for example, whether their respective significant-coefficient-group flags were inferred or not.

Methods and devices for context set selection

Methods of encoding and decoding for video data are described in which multi-level significance maps are used in the encoding and decoding processes. The significant-coefficient flags that form the significance map are grouped into contiguous groups, and a significant-coefficient-group flag signifies for each group whether that group contains no non-zero significant-coefficient flags. If there are no non-zero significant-coefficient flags in the group, then the significant-coefficient-group flag is set to zero. The set of significant-coefficient-group flags is encoded in the bitstream. Any significant-coefficient flags that fall within a group that has a significant-coefficient-group flag that is non-zero are encoded in the bitstream, whereas significant-coefficient flags that fall within a group that has a significant-coefficient-group flag that is zero are not encoded in the bitstream.

Multi-level significance maps for encoding and decoding

A system implements techniques for processing data across multiple layers. In some embodiments, a distributed data processing system tracks processing states via a monotonic process, whereby each state is irreversibly entered and cannot be entered without a predecessor state being verifiably completed. In some of such embodiments, a multi-layer data storage system tracks and processes data deletions across disparate layers such that a deletion state can be positively deduced from the deletion states of each of the disparate layers.

Techniques for verifiably processing data in distributed computing systems

Methods of encoding and decoding video in a low-fidelity mode are described. A coding unit level low-fidelity flag is present in the bitstream to signal whether low-fidelity mode is enabled for a particular coding unit or not. If enabled, then, for that coding unit, the chroma quantization parameter is determined using the luma quantization parameter adjusted by a low-fidelity-mode offset. If not enabled, then, for that coding unit, the chroma quantization parameter is determined using the luma quantization parameter without adjustment by the low-fidelity-mode offset. The chroma quantization parameter is then used in the scaling of quantized chroma transform domain coefficients. Use with luma or other video components is also proposed.

Methods and devices for emulating low-fidelity coding in a high-fidelity coder

Methods of encoding and decoding for video data are described in which multi-level significance maps are used in the encoding and decoding processes. The significant-coefficient flags that form the significance map are grouped into contiguous groups, and a significant-coefficient-group flag signifies for each group whether that group contains no non-zero significant-coefficient flags. A multi-level scan order may be used in which significant-coefficient flags are scanned group-by-group. The group scan order specifies the order in which the groups are processed, and the scan order specifies the order in which individual significant-coefficient flags within the group are processed. The bitstream may interleave the significant-coefficient-group flags and their corresponding significant-coefficient flags, if any.

Multi-level significance map scanning

Methods and devices for reconstructing coefficient levels from a bitstream of encoded video data for a coefficient group in a transform unit. Greater-than-one flags are encoded by grouping them into tuples and by encoding a tuple-based value that is a function of the greater-than-one flags within that tuple. The tuple-based value may permit the decoder to infer the greater-than-one flags in some cases, in which case they are not encoded in the bitstream.

Methods and devices for coding binary symbols as N-tuples

Methods of encoding and decoding video are described. The methods for encoding and decoding a picture partitioned into blocks include determining an activity rank for a block, based on a block size of the block and an intra-coding mode for the block; calculating a normalization value based on the activity rank divided by an average activity rank determined over a plurality of previously-encoded/decoded blocks; and quantizing/dequantizing a set of transform domain coefficients for the block using a quantization step size adjusted by the normalization value.

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Waterloo, Canada

Nguyen Nguyen