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

A Key Frame Acquisition Method for Portrait Video System

An acquisition method and key frame technology, applied in the field of video processing, can solve the problems of recognition performance impact, system speed slowdown, etc., to achieve the effect of ensuring recognition speed, improving accuracy and ensuring recognition performance

Active Publication Date: 2018-07-31
SHANGHAI YITU INFORMATION TECH CO LTD
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The easiest way is to recognize all K frames of images, which will slow down the system speed, because the time overhead of the recognition module is very large (1 frame 1 second, and a person has 24 frames of images per second)
A common practice is to select the P frame with the most positive face (P is approximately equal to 3), so as to ensure the speed, but the recognition performance will be affected

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 Key Frame Acquisition Method for Portrait Video System

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0036] Such as figure 1 As shown, this embodiment provides a key frame acquisition method for a portrait video system. This method takes into account the influence of factors between multiple images, and also considers the information of collaboration between different frames. The specific steps are as follows:

[0037] Step S1, acquire video images, and perform key point detection on each frame of images. The input to the keypoint detection process is the location of the image and the face frame, and the output is the keypoint location. Here, HoG+SVM is used for the first round of ...

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 relates to a key frame acquisition method for a portrait video system, comprising the following steps: 1) acquiring video images, and performing key point detection on each frame of images; 2) performing attribute classification on each frame of images according to the detected key points , and calculate the confidence under each attribute; 3) select the key frame of P frame according to the confidence of each frame image under different attributes, as the basis of face recognition. Compared with the prior art, the invention improves the key frame selection process, which not only ensures the speed, but also has higher recognition performance.

Description

technical field [0001] The invention relates to the technical field of video processing, in particular to a key frame acquisition method for a portrait video system. Background technique [0002] Face recognition is the core module in the portrait video system. In most portrait systems, the corresponding trajectory will be obtained for passing people. The trajectory of a single person can be represented as a collection of rectangular boxes on K frames of images. The face recognition module in the portrait video system inputs the trajectory of a person and outputs the identity of the person. [0003] Compared with the recognition module of the portrait image system, the main difference of the portrait video system is that it needs to select the face on the appropriate frame for recognition. The easiest way is to recognize all K frames of images, which will slow down the system speed, because the time overhead of the recognition module is very large (1 frame 1 second, and 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 Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/16G06V40/172G06V20/40G06F18/00
Inventor 陈远浩
Owner SHANGHAI YITU INFORMATION TECH CO LTD
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