Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Methods and apparatuses for encoding and decoding video based on perceptual metric classification

An encoding and video technology, applied in the field of video encoding and decoding, which can solve the problems of compressing video without considering the attributes of the human visual system and uneven picture quality.

Inactive Publication Date: 2019-07-09
INTERDIGITAL VC HLDG INC
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these measurements do not take into account the properties of the human visual system and result in compressed videos in which the picture quality is uneven

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Methods and apparatuses for encoding and decoding video based on perceptual metric classification
  • Methods and apparatuses for encoding and decoding video based on perceptual metric classification
  • Methods and apparatuses for encoding and decoding video based on perceptual metric classification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] Conventional rate-distortion optimization (RDO) tools aim at allocating the bit budget at the block level when encoding pictures while optimizing the objective quality of the reconstructed blocks. Such RDO tools are based on objective metrics such as MSE / PSNR. Thus, with respect to these measures, the overall objective quality of the picture to be coded is optimized. However, PSNR does not take into account the properties of the human visual system. A more consistent bitrate allocation can be performed knowing the sensitivity of the human eye. A higher perceptual / visual quality of the overall content can be achieved by a better distribution of compression methods and parameters over the pictures of the source video sequence.

[0032] The human visual system (HVS) is more sensitive to contrast than absolute brightness. Furthermore, the sensitivity depends on the spatial frequency of the picture or the area of ​​the picture. The sensitivity decreases at high spatial f...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

Methods and apparatuses for encoding and decoding video are disclosed. The method of encoding video includes assigning (12) a distortion versus quantization curve to a block in a picture of a video based on a perceptual metric classification of the block, determining a quantization parameter (132) for the block based on the distortion versus quantization curve and a target distortion for the block, the target distortion being an overall target distortion for the picture and encoding (16) the block based on the quantization parameter. A bitstream formatted to include encoded data, and computer-readable storage mediums and computer-readable program products for encoding and decoding video are also disclosed.

Description

technical field [0001] This embodiment generally relates to video encoding and decoding based on perceptual metric classification. Background technique [0002] Any background information described herein is intended to introduce the reader to various aspects of art, which might be related to the present embodiments described below. It is believed that this discussion helps to provide the reader with background information to facilitate a better understanding of various aspects of the present disclosure. Accordingly, it should be understood that these statements should be read in this light. [0003] Digital images and video sequences require extensive resources for storage and transmission, and thus require image and video compression techniques to reduce bandwidth and storage space. [0004] Video coding schemes are known, such as HEVC ("High Efficiency Video Coding") or VP9. In this scheme, a video sequence is coded picture by picture. Each image is broken down into a...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/124H04N19/176H04N19/154H04N19/192
CPCH04N19/176H04N19/147H04N19/196H04N19/149H04N19/124H04N19/154H04N19/192H04N19/105H04N19/159G06F18/23213G06F18/24137
Inventor F.加尔平F.勒林内克F.拉卡普T.波里尔T.维拉德F.厄本
Owner INTERDIGITAL VC HLDG INC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com