Image information processing system and method

Abstract

The invention provides an image information processing system and method, and relates to the technical field of image information processing. The image information processing system comprises a processing module, a noise optimization module, an image blurring module, an image detection module and a sound source detection module, the input ends of the noise optimization module and the image blurring module are connected with the output end of the processing module, and the output ends of the image detection module and the sound source detection module are connected with the input end of the processing module. By arranging the image detection module, the sound source detection module, the noise optimization module and the image blurring module, noise in a video conference can be shielded conveniently, other video pictures are blurred, and the safety and quality of the video conference are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of image information processing, and specifically relates to an image information processing system and method. Background Art

[0002] Image information processing technology is a technology that uses a computer to perform various operations and analyses on image data to improve image quality, extract features, or compress images.

[0003] During video conferencing, due to the large number of people participating in the video conference, during the conference process, the voices and images of the people in the video are chaotic, and more noise easily affects the quality of the conference. In addition, it is easy for the images in the video conference to be seen by outsiders, resulting in low security of the conference. Summary of the Invention

[0004] Technical Problems to be Solved

[0005] In view of the deficiencies of the prior art, the present invention provides an image information processing system and method, which solve the problems of a large amount of noise in video conferencing, easy visibility of images by outsiders, and low security.

[0006] (I) Technical Solution

[0007] To achieve the above object, the present invention is achieved through the following technical solutions: An image information processing system includes a processing module, a noise optimization module, an image blurring module, an image detection module, and a sound source detection module. The input ends of the noise optimization module and the image blurring module are connected to the output end of the processing module, and the output ends of the image detection module and the sound source detection module are connected to the input end of the processing module;

[0008] The processing module is used for processing images and noise;

[0009] The noise optimization module is used for optimizing the noise in the video conference;

[0010] The image blurring module is used for blurring the detected images in the video conference;

[0011] The image detection module is used for collecting image data in the video conference;

[0012] The sound source detection module is used for collecting sound data in the images.

[0013] Preferably, the image detection module includes a face scanner and a person number scanner. The face scanner is used for scanning faces in the conference, and the person number scanner is used for scanning the number of people in the conference images.

[0014] Preferably, the image blurring module includes an identification module, a comparison module, and an inspection blurring module. The identification module is used to identify the target face and the number of people. The comparison module is used to compare the target face with the set face and the number of people with the set number threshold of people. The inspection blurring module is used to check whether the comparison result is qualified. Other pictures of the video conference are not blurred, and vice versa.

[0015] Preferably, the judgment formula of the inspection blurring module is: Y = a * b, where Y is the judgment output result, a is the comparison result between the target face and the set face, and b is the comparison result between the number of people and the set number threshold of people. When the output of Y is 0, other pictures of the video conference are blurred. When the output of Y is 1, no blurring is performed.

[0016] Preferably, the sound source detection module uses a sound receiver to collect the sound in the image.

[0017] An image information processing method includes the following steps:

[0018] S1. Scan the faces and the number of people in the video conference, and collect the voiceprint data in the video conference;

[0019] S2. Compare the collected voiceprint with the set voiceprint. When the collected voiceprint does not match the set voiceprint, other voiceprints are blocked, and the blocked voiceprint position is displayed on the display screen;

[0020] S3. Compare the collected faces and the number of people with the set face and the number respectively, and output the inspection result. When the inspection result is unqualified, other images of the video conference are blurred, and vice versa.

[0021] Beneficial effects

[0022] The present invention provides an image information processing system and method, which have the following beneficial effects:

[0023] By setting an image detection module, a sound source detection module, a noise optimization module, and an image blurring module, it is convenient to block the noise in the video conference and blur other video pictures, improving the security and quality of the video conference. Description of the drawings

[0024] Figure 1 It is a flowchart of an image information processing system proposed by the present invention;

[0025] Figure 2 It is a flowchart of the noise optimization module in an image information processing system proposed by the present invention;

[0026] Figure 3 Flow chart of an image blurring module in an image information processing system proposed by the present invention. Specific implementation mode

[0027] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0028] As Figures 1 - 3 shown, an embodiment of the present invention provides an image information processing system, including a processing module, a noise optimization module, an image blurring module, an image detection module and a sound source detection module. The input ends of the noise optimization module and the image blurring module are connected to the output end of the processing module, and the output ends of the image detection module and the sound source detection module are connected to the input end of the processing module.

[0029] The processing module is used for processing images and noises.

[0030] The noise optimization module is used for optimizing the noise in the video conference.

[0031] The image blurring module is used for blurring the detected images in the video conference. The image blurring module includes an identification module, a comparison module and an inspection blurring module. The identification module is used for identifying the target face and the number of people. The comparison module is used for comparing the target face with the set face and comparing the number of people with the set number threshold of people. The inspection blurring module is used for checking whether the comparison result is qualified. Other pictures of the video conference are not blurred, otherwise they are blurred. The judgment formula of the inspection blurring module is: Y = a * b, where Y is the judgment output result, a is the comparison result between the target face and the set face, and b is the comparison result between the number of people and the set number threshold of people. When the output of Y is 0, other pictures of the video conference are blurred. When the output of Y is 1, they are not blurred. When the comparison between the recognized face and the set face in the video conference is 0, the output result of Y is 0. When the comparison result between the number of people and the set number threshold of people in the video conference is 0, the output result of Y is 0. Other display screen videos are blurred to prevent others from stealing the conference content and increase the security of the video conference.

[0032] The image detection module is used for collecting image data in the video conference. The image detection module includes a face scanner and a number of people scanner. The face scanner is used for scanning the face in the conference, and the number of people scanner is used for scanning the number of people in the conference image.

[0033] The sound source detection module is used to collect sound data in the image, and the sound source detection module uses a sound receiver to collect the sound in the image.

[0034] An image information processing method includes the following steps:

[0035] S1. Scan the faces and the number of people in the video conference, and collect the voiceprint data in the video conference.

[0036] S2. Compare the collected voiceprint with the set voiceprint. When the collected voiceprint does not conform to the set voiceprint, block other voiceprints, and display the blocked voiceprint orientation on the display screen.

[0037] S3. Compare the collected faces and the number of people with the set faces and the number respectively, and output the inspection result. When the inspection result is unqualified, blur the images of other video conferences, otherwise do not perform blurring.

[0038] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An image information processing system, characterized in that, It includes a processing module, a noise optimization module, an image blurring module, an image detection module and a sound source detection module. The input ends of the noise optimization module and the image blurring module are connected to the output end of the processing module, and the output ends of the image detection module and the sound source detection module are connected to the input end of the processing module; The processing module is used for processing images and noises; The noise optimization module is used for optimizing the noise in the video conference; The image blurring module is used for blurring the detected images in the video conference; The image detection module is used for collecting image data in the video conference; The sound source detection module is used for collecting sound data in the images.

2. The image information processing system according to claim 1, wherein: The image detection module includes a face scanner and a person number scanner. The face scanner is used for scanning the faces in the conference, and the person number scanner is used for scanning the number of people in the conference images.

3. An image information processing system according to claim 1, characterized in that: The image blurring module includes an identification module, a comparison module and an inspection blurring module. The identification module is used for identifying the target face and the number of people. The comparison module is used for comparing the target face with the set face and comparing the number of people with the set person number threshold. The inspection blurring module is used for checking whether the comparison result is qualified. The other pictures of the video conference are not blurred, otherwise they are blurred.

4. An image information processing system according to claim 3, characterized in that: The judgment formula of the inspection blurring module is: Y = a * b, where Y is the judgment output result, a is the comparison result between the target face and the set face, and b is the comparison result between the number of people and the set person number threshold. When the output of Y is 0, the other pictures of the video conference are blurred. When the output of Y is 1, no blurring is performed.

5. An image information processing system according to claim 1, wherein: The sound source detection module uses a sound receiver to collect the sound in the image.

6. An image information processing method, according to an image information processing system as claimed in any one of claims 1-5, characterized in that, It includes the following steps: S1. Scan the faces and the number of people in the video conference, and collect the voiceprint data in the video conference; S2. Compare the collected voiceprint with the set voiceprint. When the collected voiceprint does not conform to the set voiceprint, shield other voiceprints and display the shielded voiceprint position on the display screen; S3. Compare the collected faces and the number of people with the set faces and numbers respectively, and output the inspection result. When the inspection result is unqualified, blur the images of other video conferences, otherwise do not blur.

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