Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Method and device for measuring confidence coefficient of video label, equipment and storage medium

A technology of video label and measurement method, applied in the computer field, can solve problems such as video label measurement, and achieve the effect of improving the accuracy rate

Active Publication Date: 2020-02-25
TENCENT TECH (SHENZHEN) CO LTD
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of the shortcomings of the existing methods, the present application proposes a method, device, equipment and storage medium for measuring the confidence of video tags to solve the problem of how to measure the confidence of video tags

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
  • Method and device for measuring confidence coefficient of video label, equipment and storage medium
  • Method and device for measuring confidence coefficient of video label, equipment and storage medium
  • Method and device for measuring confidence coefficient of video label, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] In the embodiment of the present application, a method for measuring the confidence of video tags is provided. The schematic flow chart of the method is as follows figure 1 As shown, the method includes:

[0054] S101. Acquire an unlabeled video to be labeled.

[0055] Optionally, optionally, the unlabeled video includes a Weishi video, and the content of the Weishi video includes various scenes, for example, portrait works, natural scenery, game scenes, cooking demonstrations, and the like.

[0056] S102, according to the unlabeled video, determine the value of the frame number confidence factor and the label type of each frame of the unlabeled video, the frame number confidence factor is used to represent the total number of frames of the unlabeled video, which is marked as corresponding to the unlabeled video The contribution degree of the label of a specific attribute, and the label type includes any one of specific attributes and non-specific attributes.

[0057]...

Embodiment 2

[0111] Based on the same inventive concept, the embodiment of the present application also provides a device for measuring the confidence of video tags. The structural diagram of the device is shown in Figure 4 As shown, the device 60 for measuring the confidence of a video tag includes a first processing module 601 , a second processing module 602 and a third processing module 603 .

[0112] The first processing module 601 is used to obtain unlabeled video to be marked;

[0113] The second processing module 602 is used to determine the value of the frame number confidence factor and the label type of each frame of the unlabeled video according to the unlabeled video, and the frame number confidence factor is used to characterize the total frame number of the unlabeled video for no label The tagged video is marked as the contribution of tags corresponding to specific attributes, and the tag type includes any one of specific attributes and non-specific attributes;

[0114] Th...

Embodiment 3

[0127] Based on the same inventive concept, the embodiment of the present application also provides an electronic device, the schematic structural diagram of which is as follows Figure 5 As shown, the electronic device 6000 includes at least one processor 6001, a memory 6002 and a bus 6003, and at least one processor 6001 is electrically connected to the storage 6002; the memory 6002 is configured to store at least one computer-executable instruction, and the processor 6001 It is configured to execute the at least one computer-executable instruction, so as to execute the steps of any method for measuring the confidence of a video tag as provided in any one of the first embodiments of the present application or any optional implementation.

[0128] Further, the processor 6001 may be FPGA (Field-Programmable Gate Array, field programmable gate array) or other devices with logic processing capabilities, such as MCU (Microcontroller Unit, micro control unit), CPU (Central Process ...

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 embodiment of the invention provides a method and device for measuring the confidence coefficient of a video label, equipment and a storage medium. The method comprises the steps: obtaining a to-be-marked label-free video; determining a value of a frame number confidence coefficient factor and a label type of each frame of the unlabeled video according to the unlabeled video, the frame numberconfidence coefficient factor being used for representing a contribution degree of the total frame number of the unlabeled video to a label marked as corresponding to a specific attribute of the unlabeled video, and the label type comprising any one of the specific attribute and a non-specific attribute; and according to the total frame number of the label-free video, the value of the frame numberconfidence coefficient factor and the label type of each frame of the label-free video, determining the confidence coefficient that the label-free video is marked as the label corresponding to the specific attribute and the confidence coefficient that the label-free video is marked as the label corresponding to the non-specific attribute. According to the method, the confidence coefficients of the labels of various attributes are obtained, so that the accuracy of a behavior recognition algorithm or a recommendation system is improved.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular, the present application relates to a method, device, equipment and storage medium for measuring the confidence of video tags. Background technique [0002] In the prior art, the automatic labeling method will label the unlabeled video, but the reliability of the label is generally not concerned by the automatic labeling method. Usually, it is difficult to ensure the 100% confidence level of the labeled video label by purely manual labeling, and it is even more difficult to achieve 100% confidence level for the video label marked by the automatic labeling method. How to measure the confidence level of the video label is There are problems to be solved. Contents of the invention [0003] Aiming at the shortcomings of the existing methods, the present application proposes a method, device, equipment and storage medium for measuring the confidence of video tags to so...

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): G06K9/00G06K9/62
CPCG06V40/16G06V20/41G06F18/214
Inventor 贺思颖张粲郭莎马俊铖汪青
Owner TENCENT TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products