A method, computer program, and computer system is provided for coding video data. Video data including one or more reference locations is received. The one or more reference locations are updated in a history list associated with the received video data based on intra block copy for a single value string mode. The video data is decoded based on the updated reference locations.

A method for determining an encoding used for a sequence of bytes may be provided. The method comprises providing a set of candidate code pages and transforming them into different groups of sequences of bytes, wherein each group of sequences of bytes corresponds to one of the candidate code pages. Thereby each code point is transformed by applying a transformation from one of the candidate code pages to a reference code point value relating to a reference encoding for each code point. The method comprises further separating each of the transformed sequences of bytes into groups of tokens, wherein each group of tokens relates to one candidate code page, and providing an index relating to a text corpus. Furthermore, the method comprises selecting a code page from the set of candidate code pages at least partially based on how many tokens are found in the index.

A method for compressing columnar data may include generating, for a data column included in a data chunk, a dictionary enumerating, in a sorted order, a first set of unique values included in the first data column. A compression technique for generated a compressed representation of the data column having a fewest quantity of bytes may be identified based at least on the dictionary. The compression technique including a dictionary compression applying the dictionary and/or another compression technique. A compressed data chunk may be generated by applying the compression technique to compress the data column included in the data chunk. The compressed data chunk may be stored at a database in a variable-size persistent page whose size is allocated based on the size of the compressed representation of the data column. Related systems and articles of manufacture are also provided.

In one embodiment, an apparatus includes: a compression circuit to compress data blocks of one or more traffic classes; and a control circuit coupled to the compression circuit, where the control circuit is to enable the compression circuit to concurrently compress data blocks of a first traffic class and not to compress data blocks of a second traffic class. Other embodiments are described and claimed.

A data encoding system includes a non-transitory memory, a processor, a digital-to-analog converter (DAC) and a transmitter. The non-transitory memory stores a predetermined file size threshold. The processor is in operable communication with the memory, and is configured to receive data. The processor detects a file size associated with the data. When the file size is below the predetermined file size threshold, the processor compresses the data using a variable length codeword (VLC) encoder. When the file size is not below the predetermined file size threshold, the processor compresses the data, using a hash table algorithm. The DAC is configured to receive a digital representation of the compressed data from the processor and convert the digital representation of the compressed data into an analog representation of the compressed data. The transmitter is coupled to the DAC and configured to transmit the analog representation of the compressed data.

One embodiment provides a method comprising receiving an input data stream, partitioning the input data stream into a plurality of data blocks, and compressing the data blocks utilizing a plurality of processor sets. Each processor set is assigned a data block to compress. The processor sets compress in parallel to exploit inter-block parallelism. Each processor set comprises one or more processors that collaborate in compressing an assigned data block to exploit intra-block parallelism. The method further comprises writing a plurality of compressed data blocks resulting from the compressing to a storage device in encoded form.

Methods, devices and systems enhance compression and decompression of data blocks of data values by selecting the best suited compression method and device among two or a plurality of compression methods and devices, which are combined together and which said compression methods and devices compress effectively data values of particular data types; said best suited compression method and device is selected using as main selection criterion the dominating data type in a data block by predicting the data types within said data block.

A decoder generates decoded signals based on quantized signals. The decoder includes an inverse quantizer and a predictor circuit. The quantized signals are generated in an encoder by low-pass filtering an input signal and encoding the filtered signal using adaptive differential pulse code modulation. The predictor circuit has filter coefficients based on a frequency response of the low-pass filter used to filter the input signal.

An encoder generates quantized signal words based on a difference signal. The encoder includes an adaptive quantizer. A step size applied by the adaptive quantizer is generated in a feedback loop and based on a loading factor and quantized signal words generated by the adaptive quantizer. The encoder includes coding circuitry which generates code words based on quantized signal words generated by the adaptive quantizer. The coding circuitry generates an escape code in response to a quantized signal word not being associated with a corresponding coding code word.

A data compression apparatus is described which has an encoder configured to receive an input data item and to compress the data item into an encoding comprising a plurality of numerical values. The numerical values are grouped at least according to whether they relate to content of the input data item or style of the input data item. The encoder has been trained using a plurality of groups of training data items grouped according to the content and where training data items within individual ones of the groups vary with respect to the style. The encoder has been trained using a training objective which takes into account the groups.