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

A video decoding optimization adjustment device and method

A technology of video decoding and adjustment device, which is applied in the fields of digital video signal modification, image communication, electrical components, etc., can solve the problems of optimization and adjustment of the current playback content, etc., and achieve the effect of the best decoding effect.

Active Publication Date: 2021-01-26
FUZHOU ROCKCHIP SEMICON
View PDF12 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The current video decoding and playback is to directly play the decoded content to the user, and cannot be optimized and adjusted for the current playback content

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
  • A video decoding optimization adjustment device and method
  • A video decoding optimization adjustment device and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] see figure 1 As shown, the device of the present invention is implemented as follows: a video decoding optimization adjustment device, including a video decoding circuit, a deep learning circuit and an optimization adjustment circuit, the video decoding circuit, the deep learning circuit and the optimization adjustment circuit in turn connect;

[0015] In the training mode, the video decoding circuit decodes the video source file, and sends the decoded continuous video images with labels to the deep learning circuit, and the deep learning circuit uses different The convolution kernel produces scene and content recognition result, and carries out training iteration according to the video label that video source sends over and described scene and content recognition result until finishing training;

[0016] In optimization mode, the video decoding circuit negatively decodes the video source file, and sends the decoded continuous video images to the deep learning circuit,...

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

The invention provides a video decoding optimization adjustment device and method. In the training mode, the video decoding circuit decodes the video source file, and sends the decoded continuous video images with labels to the deep learning circuit to identify the scene and content, Complete the training; in the optimization mode, the video decoding circuit sends the decoded continuous video images to the deep learning circuit, and the deep learning circuit recognizes the scene and content, and sends the recognition results to the optimization adjustment circuit. The adjustment circuit optimizes and adjusts the video image according to the scene and content recognition results, and then sends it to the display control unit for display. The present invention can enable the video decoder to learn the current decoded image content and scene classification through neural network, and make different optimization adjustments to the classification results, so as to achieve the best decoding effect.

Description

technical field [0001] The present invention relates to a video decoding optimization adjustment circuit and method, which realizes the classification and optimization adjustment of content or scenes through deep learning of video content after video decoding based on the video decoding circuit. Background technique [0002] The current video decoding and playback is to directly play the decoded content to the user, and cannot be optimized and adjusted for the current playback content. If the video decoder can learn and recognize the current decoded image content and scene classification, and make different decoding adjustments for the scene classification, the effect of video playback and user experience will be greatly improved. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a video decoding optimization adjustment device and method, which can enable the video decoder to learn the current decoded image content...

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 Patents(China)
IPC IPC(8): H04N19/179H04N19/20
CPCH04N19/179H04N19/20
Inventor 廖裕民卢捷
Owner FUZHOU ROCKCHIP SEMICON
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