Multi-person close-up real-time recognition and automatic screenshot method for large live broadcasting scene

A large-scale, scene-based technology, applied in the field of multi-person close-up real-time recognition and automatic screenshots, can solve the problems of poor face recognition, large storage, uneven quality, etc., to improve the effect, reduce complexity, and ensure quality effect

Active Publication Date: 2018-08-10
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

People must be detected if screenshots are needed. The key technology is face detection, and traditional face detection is usually detected in real time, so a large number of repeated different face snapshots of the same object will be generated during the detection process, and the quality In addition, if all

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  • Multi-person close-up real-time recognition and automatic screenshot method for large live broadcasting scene
  • Multi-person close-up real-time recognition and automatic screenshot method for large live broadcasting scene
  • Multi-person close-up real-time recognition and automatic screenshot method for large live broadcasting scene

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Embodiment Construction

[0059] Specific embodiments of the present invention are described in detail below, but it should be understood that the protection scope of the present invention is not limited by the specific embodiments.

[0060] Unless expressly stated otherwise, throughout the specification and claims, the term "comprise" or variations thereof such as "includes" or "includes" and the like will be understood to include the stated elements or constituents, and not Other elements or other components are not excluded.

[0061] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0062] The invention provides a method for real-time close-up recognition and automatic screenshot of multiple people facing large-scale live broadcast scenes, which is characterized in that the size, definition and position of the face are respecti...

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Abstract

The invention discloses a multi-person close-up real-time recognition and automatic screenshot method for a large live broadcasting scene. The method particularly comprises steps: a face size, definition and a face position are used as first, second and third indexes for a screenshot; firstly, the current video frame image of a live broadcasting video is acquired in real time, a face in the videoframe image is detected, and a face area is acquired and tracked; and then, the face size, the definition and the position in the face area are evaluated sequentially, a face image meeting a screenshot standard is further selected, the current video frame image screenshot is saved and sent to a face recognition model for recognition, and a recognition result is outputted. The method can be appliedto a large live broadcasting scene to carry out recognition and screenshot on multiple person close-ups in the video, automatic screenshot for saving is carried out when a screenshot index is met, and a screenshot with a better quality is ensured to be acquired.

Description

Technical field: [0001] The invention relates to a multi-person close-up real-time recognition and automatic screenshot method for large-scale live broadcast scenes, and belongs to the technical field of video image processing technology. Background technique: [0002] On various live broadcast platforms, such as regular conference live broadcasts, football live broadcasts, or large-scale party live broadcasts, it is necessary to take screenshots under certain circumstances and perform face recognition on the characters on the pictures, so as to facilitate graphic introduction. People must be detected if screenshots are needed. The key technology is face detection, and traditional face detection is usually detected in real time, so a large number of repeated different face snapshots of the same object will be generated during the detection process, and the quality In addition, if all snapshots are saved for face recognition, it will bring the disadvantages of large storage c...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06T7/00G06T7/11G06T7/246
CPCG06T7/0002G06T7/11G06T7/246G06T2207/30201G06T2207/30168G06T2207/20036G06T2207/10024G06T2207/10016G06V40/172G06V20/41G06V10/44G06F18/214
Inventor 张晖杨纯
Owner NANJING UNIV OF POSTS & TELECOMM
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