Method for decoding data received from a data source using hardware configuration data received from the same data source

Abstract

Today the storage of audiovisual (AV) data on storage media employs standardized coding schemes, e.g. MPEG-2. End user devices for AV presentation, like disc players, contain dedicated decoders implemented in hardware, which are able to decode data streams complying with the respective standard. The efficiency of this decoding methodology relies on the standardization of appropriate coding schemes. Proprietary coding schemes may be more efficient by being adapted to the content, or may be used for content protection or optional features. Using reconfigurable decoder hardware, storing the configuration data for the actual decoder on the same storage medium as the AV data, and downloading the data to configure the player can be used to implement proprietary coding schemes. Such schemes require appropriate player hardware, suitable to execute a downloaded decoder under real-time conditions, and a standardized format to store the decoder configuration data.

Description

technical field [0001] The present invention relates to a method for decoding data read from a data source, such as a storage medium, using reconfigurable hardware. Background technique [0002] A hardware architecture dedicated to a particular user may be implemented as a reconfigurable device, or as a non-reconfigurable device, such as an Application Specific Integrated Circuit (ASIC) or the like. A reconfigurable device is generally defined as a device whose computing architecture is defined after production, and can often be redefined. Examples include: Field Programmable Gate Arrays (FPGAs), which provide complete flexibility in terms of hardware (HW). However, a variety of reconfigurable architectures have been developed or are being developed that differ from typical FPGAs but satisfy common definitions. Although not as efficient as ASICs, reconfigurable architectures allow arbitrary logic functions to be implemented. [0003] In addition, general-purpose hardware ...

AI Technical Summary

Problems solved by technology

[0004] However, recently proposed video coding schemes have shown that current general-purpose architectures and digital signal processors (DSPs) do not provide the performance required for real-time decoding, especially when high-definition video is considered

Additionally, current general-purpose architectures and digital signal processors (DSPs) are expensive and power-hungry

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