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

Terminal shooting method, terminal and computer-readable storage medium

A terminal and memory technology, applied in the field of image processing, can solve problems such as image quality reduction, focusing on other objects, blurring of the shooting subject, etc., to achieve the effect of ensuring the shooting quality

Active Publication Date: 2018-05-11
ZHUHAI DAHENGQIN TECH DEV CO LTD
View PDF5 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, when shooting an object, it is all shot through a preset ROI, and the size of the ROI is fixed during the shooting process. Subjects of the same type occupy less positions in a fixed ROI, so it is easy to focus on other objects during shooting, making the subject blurred in the image and reducing image quality

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
  • Terminal shooting method, terminal and computer-readable storage medium
  • Terminal shooting method, terminal and computer-readable storage medium
  • Terminal shooting method, terminal and computer-readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0071] The first embodiment of the present invention proposes a method for shooting a terminal, which can be applied to a terminal with a shooting function.

[0072] Here, the terminal described above may be a fixed terminal with a display screen, or may be a mobile terminal with a display screen.

[0073] The fixed terminal described above may be a computer, etc., and the mobile terminal described above includes but is not limited to mobile phones, notebook computers, cameras, PDAs, PADs, PMPs, navigation devices, and the like. The terminal can be connected to the Internet, and the connection method can be through a mobile Internet network provided by an operator, or through a wireless access point to connect to the network.

[0074] Here, if the mobile terminal has an operating system, the operating system may be UNIX, Linux, Windows, Android (Android), Windows Phone, and so on.

[0075] It should be noted that the type, shape, size, etc. of the display screen on the termin...

no. 2 example

[0093] Figure 5 It is a flowchart of the second embodiment of the method for shooting by a terminal in this embodiment of the present invention, as shown in Figure 5 shown, the process includes:

[0094] Step 501: Acquire an initial shot image of the shot scene.

[0095] Exemplarily, the currently set ROI is used to acquire the initial shot image of the shooting scene, or the initial shot image of the shooting scene is acquired without setting the ROI. Here, the currently set ROI may be the default ROI of the terminal or the ROI that was automatically adjusted during the last shooting. If the ROI is not set, the obtained image may be blurred. It can be understood that since the shooting subject is a special object, the clarity of the shooting subject in the initial shooting image obtained by setting the ROI will be affected. ROI (ie, focus area), to improve the accuracy of focusing on special objects, and the overall quality of the image.

[0096] The special objects men...

no. 3 example

[0118] Figure 8 It is a flowchart of the third embodiment of the method for shooting by a terminal in the embodiment of the present invention, as shown in Figure 8 shown, the process includes:

[0119] Step 801: Acquire an initial shot image of the shot scene.

[0120] Step 802: Identify the photographed subject in the initial photographed image.

[0121] Exemplarily, the image recognition technology based on deep learning is trained on different images to obtain a recognition model with image recognition capability; the obtained recognition model is used to recognize objects in the initial captured image, and different objects in the initial captured image are determined.

[0122] Specifically, it is first recognized that the initial captured image contains a plurality of objects, and further, through a preset recognition strategy, the terminal automatically recognizes the captured subject.

[0123] Here, the preset identification strategy may include: obtaining the firs...

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 discloses a terminal shooting method, a terminal and a computer-readable storage medium, wherein the method comprises the steps of: obtaining an initial shot image of ashot scene; identifying a shot main body in the initial shot image, and determining position information of the shot main body in the initial shot image; adjusting regions of interest ROI in the initial shot image according to the position information of the shot main body, wherein the area percentage of the shot main body in the adjusted ROI is greater than a first threshold value; and, shootingthe shot scene by taking the adjusted ROI as a focusing area, so that a final shot image is obtained. Thereby, the size of the ROI is adaptively adjusted according to the size of the shot main body;and thus, the focusing accuracy of a hot object is improved.

Description

technical field [0001] The present invention relates to an image processing technology, and in particular, to a terminal shooting method, a terminal and a computer-readable storage medium. Background technique [0002] Regions of Interest (ROI) are the regions in the image that can most arouse user interest and best represent the content of the image. If these regions can be extracted, the efficiency and accuracy of image processing and analysis will be greatly improved. Today, ROI extraction technology has been applied in many fields, such as JPEG2000 compression coding, target area positioning and recognition in machine vision, automatic recognition of subtitles and signs in video information, automatic extraction and recognition of license plate areas in intelligent transportation systems, Medical image analysis, etc., ROI extraction technology has broad market potential. [0003] At present, when shooting objects, they are all shot through a preset ROI, and the size of ...

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): H04N5/232G06K9/32
CPCG06V10/25H04N23/67H04N23/62
Inventor 郭启凡
Owner ZHUHAI DAHENGQIN TECH DEV 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