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Target text area selection method and device, electronic equipment and storage medium

A technology for area selection and target text, applied in neural learning methods, character and pattern recognition, instruments, etc., to achieve good robustness

Active Publication Date: 2020-09-11
GUANGDONG XIAOTIANCAI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are few existing technologies in this scenario, but the practical significance is very obvious. Correctly returning the intended topic can give users the best user experience, and also provide technical support for subsequent search questions or topic collection.

Method used

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  • Target text area selection method and device, electronic equipment and storage medium
  • Target text area selection method and device, electronic equipment and storage medium
  • Target text area selection method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0089] see figure 1 , figure 1 It is a schematic flowchart of a method for selecting a target text area disclosed in an embodiment of the present invention. Such as figure 1 As shown, the target text area selection method includes the following steps:

[0090] 110. Acquire the target image.

[0091] The target image is an image input by the user through the electronic device, and the image includes topic information and click point information. Exemplarily, the user taps the paper on the carrier such as exercise book, test paper, and exercise book with a finger, and under the corresponding photographing instruction, the image acquisition device takes a photo of the paper to obtain an initial image and transmits it to the smart device. The smart device or server can perform corresponding preprocessing and rough frame operations based on the initial image to obtain the target image. Preprocessing can be image enhancement and shape correction, etc. The thick frame operation...

Embodiment 2

[0133] see Figure 6 , Figure 6 It is a schematic flowchart of a method for selecting a target text area disclosed in an embodiment of the present invention. Such as Figure 6 As shown, the target text area selection method includes the following steps:

[0134] 210. Acquire a target image.

[0135] 220. Identify the click point coordinates and the topic area mask in the target image.

[0136] 230. Determine a target topic area according to the coordinates of the click point, the topic area mask, and preset rules.

[0137] Steps 210 and 220 may be similar to Step 110 and Step 120 in Embodiment 1, and details are not repeated here.

[0138] In step 230, it includes the following steps:

[0139] 231. Detect the positional relationship between the click point and the topic area mask.

[0140] The positional relationship between the click point and the topic area mask can include any of the following: 1. The click point falls within a certain topic area mask; 2. Because the ...

Embodiment 3

[0161] see Figure 14 , Figure 14 It is a schematic structural diagram of a device for selecting a target text area disclosed in an embodiment of the present invention. Such as Figure 14 As shown, the target text area selection means may include:

[0162] an acquisition unit 410, configured to acquire a target image;

[0163] An identification unit 420, configured to identify the click point coordinates and the topic area mask in the target image;

[0164] The target determining unit 430 is configured to determine the target topic area according to the coordinates of the click point, the topic area mask and preset rules.

[0165] As an optional implementation manner, the identification unit 420 may include:

[0166] The first subunit 421 is used to create and train a deep learning network recognition model based on color features;

[0167] The second subunit 422 is configured to input the target image into the deep learning network recognition model, identify the click...

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PUM

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Abstract

The embodiment of the invention relates to the technical field of topic detection, and discloses a target text area selection method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a target image; identifying a click point coordinate and a topic area mask in the target image; and determining a target question area according to the click point coordinates, the question area mask and a preset rule. By implementing the method of the invention, the intention question area required by the user can be output only according to the click point coordinates and the question area mask, technical support is provided for subsequent accurate question search and question recording, various typesetting and complex conditions can be supported, and good robustness is achieved under various conditions.

Description

technical field [0001] The present invention relates to the technical field of title detection, in particular to a method, device, electronic equipment and storage medium for selecting a target text area. Background technique [0002] In point-to-point reading scenarios or learning machine scenarios, users often click papers, exercise books, and books, and then need to obtain the intended topic area corresponding to the click point for searching or collecting topics. The search questions include but Not limited to answer search, pronunciation search, and synonyms or antonyms search, etc. For these scenarios, the input is the coordinates of the user clicking on the paper and the area of ​​each topic, and the output is the area of ​​the intended topic that the user wants. At present, there are few existing technologies for this scenario, but the practical significance is very obvious. Correctly returning the intended topic can give users the best user experience, and also pro...

Claims

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Application Information

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IPC IPC(8): G06K9/20G06K9/34G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V10/22G06V10/267G06N3/045G06F18/23Y02D10/00
Inventor 许多邓小兵张春雨
Owner GUANGDONG XIAOTIANCAI TECH CO LTD
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