Video encoder and video coding method with updateable quantization table

Abstract

This invention discloses one video encoder wit update list to compress one video information, which is characterized by one random access memory to store quantization table. This invention also discloses one video encoder method, which can update quantization table according to visual information and removes extra information according to the information of the quantization table.

Description

technical field [0001] The present invention relates to a video encoder and an encoding method, in particular to a random access memory (RAM, Random Access Memory) capable of storing a quantization table (Quantization Table), and the quantization table can be changed according to user needs or special circumstances is updated to change the selection criteria for Quantization. Background technique [0002] Video compression technology originates from the need to efficiently transmit and store video data in limited bandwidth and storage space. For example, a 640×480, 30frame / s, 30-minute full-color video requires about 47GB of storage space if it is not compressed, which obviously cannot achieve the benefits of video transmission. [0003] Existing video compression technology mainly achieves the purpose of compression by removing redundancy, information that is not easily perceived by the human eye, and entropy coding. As shown in FIG. 1 , it is a schematic diagram of an ex...

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Problems solved by technology

This approach will lead to some problems. For special environments or scenes, it is impossible to provide a better compression ratio. If the compression is too high or not enough, the compression effect will be deteriorated, or the image quality will be deteriorated. For example, when the video information When there are high-frequency signals such as hair fluttering in the close-up view, the same quantization table, for this kind of scene, the compression ratio may be too high. After encoding and decoding, the fluttering hair may not be visible. For another example, when the background of the image is always static, the same quantization table may have a too small compression ratio, resulting in poor compression and wasting storage space

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