Telescopic video sparse information processing system

Abstract

The invention provides a telescopic video sparse information processing system, belonging to the technical field of information processing. The system comprises a time domain resolving module, a double multi-resolution ratio geometry resolving module, an entropy coding module, a bit stream multiplexer module and a rate distortion optimization controlling module, wherein the time domain resolving module is connected with the double multi-resolution ratio geometry resolving module to transmit time domain high-frequency video frame information and time domain low-frequency video frame information; the double multi-resolution ratio geometry resolving module is connected with the entropy coding module to transmit double multi-resolution ratio geometry-transformed resolution ratio information; the entropy coding module is connected with the bit stream multiplexer module to transmit configured multi-layer bit stream information; the rate distortion optimization controlling module is connected with the time domain resolving module to transmit motion evaluating control information; and the rate distortion optimization controlling module is connected with the entropy coding module to transmit coding control information. The system has the advantages of high compatibility, large compression ratio, high coding efficiency and small code word overhead, can obtain better visual effect, and has wide applicability.

Description

technical field [0001] The invention relates to a system in the technical field of information processing, in particular to a scalable video sparse information processing system. Background technique [0002] In network video information processing and transmission, due to the heterogeneity of network architecture and terminals, different types of networks have different channel characteristics. These factors make different users or the same user get different bandwidth at different times. In order to make the video bit stream adapt to different network channel environments, people have proposed SVC (Scalable Video Information Processing) technology, which is the embedded video information technology of "once encoding, interception on demand". The code stream of spatio-temporal resolution / bit rate is provided to the terminal. [0003] In the WSVC system based on the 3-D Wavelet (three-dimensional wavelet) scheme in the prior art, after the video frame passes through the tim...

AI Technical Summary

Problems solved by technology

However, the disadvantage of this type of technology is: due to the redundancy of the Laplacian pyramid filter bank, the Contourlet is not suitable for the information processing process of compressing images and videos directly.

However, the drawback of these systems is that they all use a uniformly decomposed directional filter bank, which uses a full binary tree structure

The directional characteristics in the natural image spectrum obviously cannot be uniformly distributed, and the uniform directional decomposition may cause the energy of some directions with relatively dense spectral distribution to leak to the adjacent sub-bands, so this uniform directional decomposition is obviously not the best. Optimal Image Decomposition Method

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