Storing system of integrated video decoder

Abstract

The invention provides a storing system of an integrated video decoder, which can lower the power consumption and belongs to the decoder storing management field based on video coding and decoding standard of block. The storing system is characterized in that a compression module is used for the re-compression of reconstructed data, and the decompression is respectively carried out when reference data is read and displayed to reduce the data exchange amount of the decoder and a katanto memory; a storing address generating module is used for preparing a reasonable reference frame storing mapping structure to reduce row activation operation times required during a reading and writing process; a storing controller based on four storing signal ports structure is used for reducing the on-chip memory of the decoder and improving the bandwidth of the memory; the low power consumption coding and decoding is used for the low power consumption coding of stored contents. Static power consumption generated due to the leakage in the memory is lowered.

Description

technical field [0001] The technical field of direct application of the "storage system with integrated video decoder" is the optimal design of the storage structure of the decoder adopting the block-based video codec standard. Background technique [0002] With the development of video codec technology, there are more and more types of multimedia services and their applications are becoming more and more extensive, such as digital TV, mobile TV, MP4, digital photo frame, etc. are closely related to people's lives. Among many video codec standards, block-based compression methods are mostly used, such as MPEG-2, H.264, etc.; meanwhile, these two standards are currently the most widely used video codec standards. MPEG-2 is used in DVD storage, digital TV broadcasting and other fields, while H.264 is mainly used in portable multimedia devices such as MP4 and other consumer electronics products. [0003] In recent years, the processing ability of the circuit has been rapidly e...

AI Technical Summary

Problems solved by technology

These methods can reduce the amount of stored data, but the common problem is that the lossy compression is used for the reference frame data, which will reduce the quality of the image and cause the problem of error diffusion; in addition, the processing uses variable length or Transform coding, when the referenced macroblock needs to span multiple adjacent macroblocks, it will increase the amount of data that needs to be read, bringing additional costs

Block-based video decoding is carried out in units of macroblocks, so each time the data of a macroblock is stored, multiple row address conversions are required. When reading an image display, it is necessary to jointly read the brightness and The data will also continuously change the row address, which will consume a lot of energy in the memory, and will also increase the delay required for reading and writing

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