Fast decision of 360-degree video intra-frame prediction based on texture features

A texture feature, video frame technology, applied in the field of image processing, can solve the problem of not being able to encode 360-degree video efficiently

Active Publication Date: 2018-12-21
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Considering that HEVC is proposed for traditional video, 360-degree video coding based on HEVC cannot efficiently encode 360-degree video

Method used

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  • Fast decision of 360-degree video intra-frame prediction based on texture features
  • Fast decision of 360-degree video intra-frame prediction based on texture features
  • Fast decision of 360-degree video intra-frame prediction based on texture features

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Embodiment Construction

[0085] Various aspects are now described with reference to the figures. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more aspects. It may be evident, however, that such aspects can be practiced without these specific details.

[0086] As used in this application, the terms "component", "module", "system" and the like are intended to refer to a computer-related entity such as, but not limited to, hardware, firmware, a combination of hardware and software, software, Or software in execution. For example, a component may be, but is not limited to being limited to, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and / or a computer. For example, both an application running on a computing device and the computing device can be components. One or more components can reside within a process and / or thread of execution ...

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Abstract

360-degree video has ultra-high resolution (usually 4K to 8K), resulting in a significant increase in encoding time. In order to reduce the coding complexity, a 360-degree video intra-frame predictionfast decision-making device based on texture features is designed. On one hand, the proposed decision method is based on the texture complexity to determine whether to terminate the coding unit partition as soon as possible; on the other hand, the proposed method reduces the number of candidate patterns according to the texture directionality. The two methods can be used simultaneously or separately.

Description

[0001] joint research [0002] This application is jointly researched by North China University of Technology and Information Institute of Beijing Jiaotong University, and supported by the following funds: National Natural Science Foundation of China (No.61103113, No.60903066), Beijing Municipal Higher Education Intensification Program for Talents (PHR201008187); Natural Science Foundation of Jiangsu Province (BK2011455), Natural Science Foundation of Beijing (No.4102049), New Teacher Fund of the Ministry of Education (No.20090009120006); National 973 Program (2012CB316400), Basic Research Fund of Central Universities (No.2011JBM214). technical field [0003] The present invention relates to the field of image processing, and more specifically, relates to texture feature-based intra prediction CU division and mode selection for processing 360-degree video in High Efficiency Video Coding (HEVC). Background technique [0004] The High Efficient Video Coding (HEVC) standard is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/593H04N19/147H04N19/172H04N19/103
CPCH04N19/103H04N19/147H04N19/172H04N19/593
Inventor 张萌萌董晓莎刘志
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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