Scalable video encoding system based on hierarchical structure progressive dictionary learning

A technology of dictionary learning and video coding, applied in digital video signal modification, electrical components, image communication, etc., can solve problems such as high coding delay, inability to represent sparsely, and high computational complexity, so as to improve reconstruction performance and speed up Convergence and stability, the effect of ensuring video quality

Active Publication Date: 2015-04-22
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, while redundant motion-compensated update operations are no longer required, scalable B-frames require more space to hold B-frames, resulting in higher encoding latency
At the same time, fast-moving objects will cause high computational complexity on the encoding side, and cannot be sparsely represented by the original blocks of the reference frame

Method used

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  • Scalable video encoding system based on hierarchical structure progressive dictionary learning
  • Scalable video encoding system based on hierarchical structure progressive dictionary learning
  • Scalable video encoding system based on hierarchical structure progressive dictionary learning

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Embodiment Construction

[0019] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0020] Such as figure 1 , 2 As shown, the present embodiment provides a hierarchical video coding system based on progressive dictionary learning, including: a system framework based on hierarchical structure, a progressive dictionary learning module and a scalable video frame reconstruction module; wherein:

[0021] The system framework based on the hierarchical structure adopts a hierarchical B-frame prediction structure in the time domain, and utilizes the temporal redundancy information betwe...

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Abstract

The invention provides a scalable video encoding system based on hierarchical structure progressive dictionary learning. The system comprises a system framework based on a hierarchical structure, a progressive dictionary learning module and a scalable video frame reconstructing module. According to the system, due to a scalable B frame prediction structure, reconstructed frames are added into dictionary training as reference frames of a finer layer, and the complexity of a super-resolution algorithm based on learning is reduced through a random gradient descending method. Through the system, consistency of video frame movement can be effectively kept, and meanwhile space and quality are scalable based on the system frame of the hierarchical structure.

Description

technical field [0001] The present invention relates to a scalable video coding scheme, in particular to a scalable video coding system based on layered structure progressive dictionary learning. Background technique [0002] In order to adaptively meet the requirements of video transmission on heterogeneous networks with different transmission characteristics and the application requirements of different clients, scalable video coding has received extensive attention. The purpose of scalable video coding is to remove the time, space, and quality redundancy between multi-layer video streams while maintaining the same complexity and reconstruction quality as the existing framework for encoding each sub-video stream. The essence of removing redundant temporal information is to efficiently predict consecutive frames within a group of video frames (GOP) based on limited prior information. The popular super-resolution reconstruction technology in recent years has proved that the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/30H04N19/577
Inventor 熊红凯唐欣
Owner SHANGHAI JIAO TONG UNIV
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