Self-learning method and device capable of improving snap shot effect

A self-study method and self-study technology, applied in the field of improving capture effect, self-study method and device, can solve problems such as bad pictures, poor self-portrait photo effect, time-consuming, etc., to save storage space and improve capture effect Effect

Inactive Publication Date: 2016-08-31
BEIJING GUANGNIAN WUXIAN SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of poor self-portrait photos in the prior art, and the problem that a large number of photos with poor effects occupy stora

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  • Self-learning method and device capable of improving snap shot effect
  • Self-learning method and device capable of improving snap shot effect
  • Self-learning method and device capable of improving snap shot effect

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[0032] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the embodiments of the present invention in detail with reference to the accompanying drawings.

[0033] Such as figure 1 As shown, it shows the flow chart of the method of how the intelligent robot performs automatic capture operation in the prior art. In the process of this method, the automatic conversion between the auditory detection function and the visual detection function of the intelligent robot is also shown in detail.

[0034] In order to perform automatic capture, first turn on the visual detection function of the intelligent robot and detect and locate the target. In the prior art, the step of detecting and positioning the target object generally includes: determining the target object within the shooting range through visual inspection; if it is determined that the target object is outside the shooting range, detecting the soun...

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Abstract

The invention provides a self-learning method capable of improving a snap shot effect. The self-learning method comprises the following steps: turning on a shooting function of an intelligent robot; executing a shooting operation based on a preset shooting condition parameter; acquiring preference data and a picture evaluation parameter specific to picture composition; performing machine learning on the picture evaluation parameter and the preference data specific to picture information, and modifying the preset shooting condition parameter based on a learning process in order to obtain an optimal shooting condition parameter for self-learning of the robot; and saving the optimal shooting condition parameter instead of the preset shooting condition parameter in order to perform a next shooting operation. Through adoption of the method, the storage space can be saved without manually deleting undesirable photos specially. Moreover, the intelligent robot can automatically delete undesirable pictures taken by a user or modifying the shooting parameter in a passive shooting scene.

Description

technical field [0001] The present invention relates to the field of information technology processing, in particular to a self-learning method and device for improving the snapshot effect. Background technique [0002] Whether it is designed for entertainment or for security monitoring, if the machine can automatically capture, the heavy work of the photographer will be replaced, and some important moments will be avoided. At present, some intelligent robots that have been developed have an automatic capture function, which can partially solve the above problems. In the shooting mode, the robot with automatic capture function will automatically track the movement of the target to keep it within the marked frame of the shooting screen, and trigger the shooting according to specific facial features, facial emotions, actions or special sounds, etc. to trigger the capture operation. [0003] However, in the prior art, the robot only automatically starts shooting based on the ...

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Application Information

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IPC IPC(8): H04N5/232H04N7/18
CPCH04N7/18H04N23/66H04N23/617H04N23/64
Inventor 郭家俞志晨
Owner BEIJING GUANGNIAN WUXIAN SCI & TECH
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