Audio bitstream data structure arrangement of a lossy encoded signal together with lossless encoded extension data for said signal

Abstract

Lossless compression algorithms can only exploit redundancies of the original audio signal to reduce the data rate, but not irrelevancies as identified by psycho-acoustics. Lossless audio coding schemes apply a filter or transform for decorrelation and then encode the transformed signal. The encoded bit stream comprises the parameters of the transform or filter, and the lossless representation of the transformed signal. However, in case of lossy based lossless coding the additional amount of information exceeds the amount of data for the base layer by a multiple of the base layer data amount. Therefore the additional data cannot be packed completely into the base layer data stream e.g. as ancillary data. The at least two data streams resulting from the combination of lossy coding format with a lossless coding extension are the base layer containing the lossy coding information and the enhancement data stream for rebuilding the mathematically lossless original input signal. Furthermore several intermediate quality layers are possible. However, these data streams are not independent from each other. Every higher layer depends on the lower layers and can only be reasonably decoded in combination with these lower layers. According to the invention, a special combination of one-time header information with repeated header information in a block structure is used, which kind of combination depends on the type of application. Assignment information data identify the different parts or layers of the lossless format belonging to one input signal. Synchronisation data are used to combine the different data streams or parts or layers to a single lossless or intermediate output signal. These features are used in a file format and in a streaming format.

Description

technical field [0001] The invention relates to a data structure for arranging bitstream data for a lossy coded signal and lossless extension coded data of said signal. Furthermore, intermediate quality extension coded data may be arranged in this data structure. Background technique [0002] In contrast to lossy audio coding techniques (such as mp3, AAC, etc.), lossless compression algorithms can only exploit the redundancy of the original audio signal to reduce the data rate. It is not possible to rely on irrelevant content as indicated by psychoacoustic models in state-of-the-art lossy audio codecs. Accordingly, a common technical principle for all lossless audio coding schemes is to apply filters or transforms to decorrelate (eg predictive filters or frequency transforms) and then encode the transformed signal in a lossless manner. The coded bitstream includes: the parameters of the transform or filter, and a lossless representation of the transformed signal. See eg: ...

AI Technical Summary

Problems solved by technology

Use a special mechanism so that the mp3 decoder does not attempt to decode this additional information

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