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Intra-frame coding unit rapid selection method based on logical regression classifier

A coding unit and intra-frame coding technology, which is applied in the field of video coding, can solve the problems that hinder the application and promotion of the HEVC standard, and increase the complexity of the encoder, so as to reduce the computational complexity and ensure the coding quality.

Active Publication Date: 2016-03-23
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, the optimal selection of a huge and flexible coding parameter set also makes the complexity of the HEVC encoder increase sharply, which hinders the application and promotion of the HEVC standard

Method used

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  • Intra-frame coding unit rapid selection method based on logical regression classifier
  • Intra-frame coding unit rapid selection method based on logical regression classifier
  • Intra-frame coding unit rapid selection method based on logical regression classifier

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Embodiment Construction

[0022] 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.

[0023] Based on the new-generation video coding standard HighEfficiencyVideoCoding (HEVC), the present invention provides a method for quickly selecting coding units for intra-frame prediction of HEVC. The specific implementation steps are as follows:

[0024] Step 1: Statistically learn 3 video sequences offline, and record various parameters, specifically:

[0025] The standard process in HEVC is used to encode the CU, and the values ​​of the selected features are recorded when the optimal CU i...

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Abstract

The invention provides an intra-frame coding unit rapid selection method based on a logical regression classifier. According to the method, downward partition of one coding unit is modeled into the classification problems of downward partition and non-downward partition, and the two classification problems are solved through the logical regression classifier. Three video sequences are learned offline to obtain an optimal logical regression coefficient of the logical regression classifier, and an optimal decision-making feature is selected through calculation of the effectiveness of a plurality of candidate features. An intra-frame coding unit is selected rapidly through the logical regression classifier obtained by offline learning, so that other unnecessary prediction coding mode calculations are skipped; the intra-frame coding complexity of an HEVC (High Efficiency Video Coding) coder can be lowered effectively; and real-time application of a real-time HEVC coder is facilitated.

Description

technical field [0001] The invention belongs to the technical field of video coding, and is based on the new-generation video coding standard HighEfficiencyVideoCoding (HEVC), and specifically performs rapid selection of coding units for intra-frame prediction of HEVC. Background technique [0002] In order to solve the impact of the sharply increasing data rate of high-definition and ultra-high-definition video on network transmission, the Video Coding Experts Group (Video Coding Experts Group, VECG) of the International Telecommunication Union Telecommunication Standardization Sector (International Telecommunication Union-Telecom, ITU-T) and the ISO / ISO The Moving Picture Experts Group (MPEG) of the International Organization for Standardization / International Electro-technical Commission (ISO / IEC) established the Joint Collaborative Team Video Coding (JCT-VC) in January 2010, which formulated the A new generation of video compression standard HEVC (High Efficiency Video Co...

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Application Information

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IPC IPC(8): H04N19/105H04N19/119H04N19/147H04N19/159
Inventor 张小云胡强石志儒高志勇陈立王嘉
Owner SHANGHAI JIAO TONG UNIV
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