CN113766132A - Video shooting method and device - Google Patents
Video shooting method and device Download PDFInfo
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- CN113766132A CN113766132A CN202111083547.9A CN202111083547A CN113766132A CN 113766132 A CN113766132 A CN 113766132A CN 202111083547 A CN202111083547 A CN 202111083547A CN 113766132 A CN113766132 A CN 113766132A
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- 238000000034 method Methods 0.000 title claims abstract description 12
- 239000011159 matrix material Substances 0.000 claims abstract description 18
- 230000009466 transformation Effects 0.000 claims abstract description 14
- 238000012805 post-processing Methods 0.000 claims abstract description 7
- 238000006243 chemical reaction Methods 0.000 claims abstract description 4
- 238000007781 pre-processing Methods 0.000 claims abstract description 4
- 230000033001 locomotion Effects 0.000 claims description 8
- 230000007547 defect Effects 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 230000008859 change Effects 0.000 claims description 3
- 230000003287 optical effect Effects 0.000 claims description 3
- 238000003384 imaging method Methods 0.000 claims 1
- 238000004091 panning Methods 0.000 claims 1
- 230000006641 stabilisation Effects 0.000 description 3
- 238000011105 stabilization Methods 0.000 description 3
- 238000000605 extraction Methods 0.000 description 2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/67—Focus control based on electronic image sensor signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/667—Camera operation mode switching, e.g. between still and video, sport and normal or high- and low-resolution modes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/695—Control of camera direction for changing a field of view, e.g. pan, tilt or based on tracking of objects
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Abstract
The invention discloses a video shooting method, which comprises the following steps: (1) when video shooting is carried out, selecting a triangular support for placing the camera electronic equipment; (2) the shot person or object should be placed in the direction of the direct light as much as possible; (3) aligning the shot person or object, and shooting through different lens angle conversion modes; (4) preprocessing the shot video, detecting the feature points of the video frame, and then performing feature tracking matching on each feature point through an algorithm; (5) estimating a simulated shooting transformation matrix between adjacent frames by using an algorithm according to the characteristic points matched with the video frames; (6) and calculating a compensation matrix between adjacent frames, and performing geometric transformation on each frame of the track video by using the compensation matrix to obtain a more stable video image. The invention also relates to a video shooting device which comprises a video shooting unit, a video adjusting unit and a video post-processing unit. The invention has clearer shot picture and higher image quality.
Description
Technical Field
The invention relates to the technical field of camera equipment, in particular to a video shooting method and a video shooting device.
Background
Video shooting is applied more and more frequently in modern life, and especially the production of short videos is started in recent years, such as platforms of trembling, fast hands, watermelon videos, second afraid and the like, and the video shooting is popular among people due to short shooting time requirement and fast information transmission. However, due to the fact that the shooting method or angle is not correct, shake errors of manual operation and the like, the shooting effect is not ideal, and various blurred images can appear.
Disclosure of Invention
The invention aims to provide a video shooting method and a video shooting device, which combine various adjusting modes to ensure that a shot picture is clearer, the image quality is higher, the dynamic shooting and recording are convenient, and a more stable video image can be obtained through later-stage video image stabilization adjustment.
In order to achieve the purpose, the invention provides the following technical scheme:
a video capture method, comprising the steps of:
(1) when video shooting is carried out, a triangular support capable of providing a machine position is selected to be used for placing the camera electronic equipment, and the camera electronic equipment can move back and forth, left and right or up and down on the machine position so as to change the shooting distance or angle.
(2) The person or object to be photographed should be positioned in a straightforward direction as much as possible so that it is under sufficient light intensity.
(3) The shot person or object is aligned, and then the mode conversion shooting is carried out by pushing the lens, pulling the lens, shaking the lens, moving the lens, and carrying out the shooting with the lens or lifting the lens so as to adapt to different shooting image requirements.
(4) Preprocessing the shot video, detecting the feature points of the video frame through an SIFT algorithm, and then tracking and matching the features of each feature point through the algorithm.
(5) And estimating a simulated shooting transformation matrix between adjacent frames by using an algorithm according to the characteristic points matched with the video frame, dividing the video frame into uniform grids, selecting one grid in the uniform grids, and combining the simulated shooting transformation matrix between the adjacent frames with a motion path of a camera of a previous frame to obtain a video motion track.
(6) And calculating a compensation matrix between adjacent frames, and performing geometric transformation on each frame of the track video by using the compensation matrix to obtain a more stable video image.
The SIFT algorithm in the step (4) is a Scale-innovative Feature Transform algorithm applied to video image Feature extraction and tracking, and is a technical algorithm in the field.
In the step (2), the lens is pushed in the direction of the subject by the image capture electronic device, or the focal length of the lens is changed to make the frame of the screen approach the subject from far to near for shooting.
The lens pulling means that the image pickup electronic device gradually moves away from the subject, or the focal length of the lens is changed to make the picture frame and the subject to be picked up to be apart for shooting.
The lens shaking means that the camera shooting electronic equipment keeps the machine position still, and the axis of the optical lens of the camera shooting electronic equipment is changed by means of an adjusting component on a triangular support or by means of a human body of a photographer.
The zooming is to shoot the image of the electronic equipment on the moving object along with the movement of the electronic equipment.
The follow-up shot means that the image pickup electronic apparatus always moves along with a moving subject to perform shooting.
The lifting lens means that the camera electronic equipment lifts and falls by means of a lifting device and shoots at the same time.
The invention also relates to a video shooting device comprising
The video shooting unit is used for capturing and collecting the voice and picture image information of the shot subject and storing the information;
the video adjusting unit is used for adjusting the audio frequency and the image quality of the collected voice and image information so as to obtain clearer video image information;
and the video post-processing unit detects the feature points of the video frames of the adjusted voice and picture image information through an SIFT algorithm, then performs feature tracking matching, calculates a compensation matrix between adjacent frames and performs geometric transformation, and finally obtains more stable video image information.
Furthermore, a collection module, a control module and a storage module are arranged in the video shooting unit.
And an image adjusting module is arranged in the video adjusting unit.
And an image algorithm processing module is arranged in the video post-processing unit and is used for detecting video frames and compensating characteristic defects.
The video shooting device comprises a mobile phone, a tablet personal computer, a digital camera, a digital video camera and the like.
Compared with the prior art, the invention has the beneficial effects that: the video shooting method is unique, can process the video images in the later period, combines various adjusting modes, ensures that the shot pictures are clearer, the image quality is higher, the dynamic shooting and recording are also convenient, and the more stable video images can be obtained through the later-period video image stabilization adjustment.
Drawings
Fig. 1 is a schematic diagram of a video camera according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution:
a video capture method, comprising the steps of:
(1) when video shooting is carried out, a triangular support capable of providing a machine position is selected to be used for placing the camera electronic equipment, and the camera electronic equipment can move back and forth, left and right or up and down on the machine position so as to change the shooting distance or angle.
(2) The person or object to be photographed should be positioned in a straightforward direction as much as possible so that it is under sufficient light intensity.
(3) The shot person or object is aligned, and then the mode conversion shooting is carried out by pushing the lens, pulling the lens, shaking the lens, moving the lens, and carrying out the shooting with the lens or lifting the lens so as to adapt to different shooting image requirements.
(4) Preprocessing the shot video, detecting the feature points of the video frame through an SIFT algorithm, and then tracking and matching the features of each feature point through the algorithm.
(5) And estimating a simulated shooting transformation matrix between adjacent frames by using an algorithm according to the characteristic points matched with the video frame, dividing the video frame into uniform grids, selecting one grid in the uniform grids, and combining the simulated shooting transformation matrix between the adjacent frames with a motion path of a camera of a previous frame to obtain a video motion track.
(6) And calculating a compensation matrix between adjacent frames, and performing geometric transformation on each frame of the track video by using the compensation matrix to obtain a more stable video image.
The SIFT algorithm in the step (4) is a Scale-innovative Feature Transform algorithm applied to video image Feature extraction and tracking, and is a technical algorithm in the field.
In the step (2), the lens is pushed in the direction of the subject by the image capture electronic device, or the focal length of the lens is changed to make the frame of the screen approach the subject from far to near for shooting.
The lens pulling means that the image pickup electronic device gradually moves away from the subject, or the focal length of the lens is changed to make the picture frame and the subject to be picked up to be apart for shooting. The lens shaking means that the camera shooting electronic equipment keeps the machine position still, and the axis of the optical lens of the camera shooting electronic equipment is changed by means of an adjusting component on a triangular support or by means of a human body of a photographer. The zooming is to shoot the image of the electronic equipment on the moving object along with the movement of the electronic equipment. The follow-up shot means that the image pickup electronic apparatus always moves along with a moving subject to perform shooting. The lifting lens means that the camera electronic equipment lifts and falls by means of a lifting device and shoots at the same time.
The invention also relates to a video shooting device, which comprises a video shooting unit, a voice acquisition unit and a video processing unit, wherein the video shooting unit is used for capturing and collecting the voice and picture image information of a shot subject and storing the information; the video adjusting unit is used for adjusting the audio frequency and the image quality of the collected voice and image information so as to obtain clearer video image information; and the video post-processing unit detects the feature points of the video frames of the adjusted voice and picture image information through an SIFT algorithm, then performs feature tracking matching, calculates a compensation matrix between adjacent frames and performs geometric transformation, and finally obtains more stable video image information.
Furthermore, a collection module, a control module and a storage module are arranged in the video shooting unit and used for collecting and storing image video information.
And an image adjusting module is arranged in the video adjusting unit and is used for adjusting the audio frequency and the image quality of the image information.
And an image algorithm processing module is arranged in the video post-processing unit and is used for detecting video frames and compensating characteristic defects.
The video shooting device comprises a mobile phone, a tablet personal computer, a digital camera, a digital video camera and the like.
The invention combines a plurality of adjusting modes, so that the shot picture is clearer, the image quality is higher, the dynamic shooting and recording are convenient, the detection of video frames and the characteristic defect compensation are carried out after the image is obtained, and the more stable video image is obtained through the later-stage video image stabilization adjustment.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. A video capture method, comprising the steps of:
(1) when video shooting is carried out, a triangular support capable of providing a machine position is selected for placing the camera electronic equipment, and the camera electronic equipment can move back and forth, left and right or up and down on the machine position so as to change the shooting distance or angle;
(2) the shot person or object should be placed in the direction of the direct light as much as possible so as to be under the sufficient light intensity;
(3) aligning a shot person or object, and then carrying out conversion mode shooting by pushing a lens, pulling the lens, shaking the lens, moving the lens, and following the lens or lifting the lens so as to adapt to different shooting image requirements;
(4) preprocessing the shot video, detecting the feature points of the video frame through an SIFT algorithm, and then performing feature tracking matching on each feature point through the algorithm;
(5) and estimating a simulated shooting transformation matrix between adjacent frames by using an algorithm according to the characteristic points matched with the video frame, dividing the video frame into uniform grids, selecting one grid in the uniform grids, and combining the simulated shooting transformation matrix between the adjacent frames with a motion path of a camera of a previous frame to obtain a video motion track.
(6) And calculating a compensation matrix between adjacent frames, and performing geometric transformation on each frame of the track video by using the compensation matrix to obtain a more stable video image.
2. A video capture method as claimed in claim 1, wherein: in the step (2), the lens is pushed in the direction of the subject by the imaging electronic device, or the focal length of the lens is changed to make the frame of the picture approach the subject from far to near.
3. A video camera as claimed in claim 1, wherein: in the step (2), the panning refers to that the camera electronic device keeps the machine position still, and the axis of the optical lens of the camera electronic device is changed by means of the adjusting component on the triangular bracket or by means of the human body of the photographer.
4. The video camera according to claim 1, wherein in the step (2), the taking with the lens means that the image capturing electronic device always moves along with a moving subject to capture images.
5. The video camera according to claim 1, wherein in the step (2), the lens is raised and lowered by a raising and lowering device while the image capture electronic device is raising and lowering.
6. A video camera, comprising:
the video shooting unit is used for capturing and collecting the voice and picture image information of the shot subject and storing the information;
the video adjusting unit is used for adjusting the audio frequency and the image quality of the collected voice and image information so as to obtain clearer video image information;
and the video post-processing unit detects the feature points of the video frames of the adjusted voice and picture image information through an SIFT algorithm, then performs feature tracking matching, calculates a compensation matrix between adjacent frames and performs geometric transformation, and finally obtains more stable video image information.
7. The video shooting device of claim 6, wherein a collection module, a control module and a storage module are arranged in the video shooting unit.
8. A video camera arrangement as claimed in claim 6, characterized in that an image adjustment module is provided in the video adjustment unit.
9. The video shooting device of claim 6, wherein an image algorithm processing module is arranged in the video post-processing unit for detecting video frames and compensating feature defects.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111083547.9A CN113766132A (en) | 2021-09-16 | 2021-09-16 | Video shooting method and device |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111083547.9A CN113766132A (en) | 2021-09-16 | 2021-09-16 | Video shooting method and device |
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| CN113766132A true CN113766132A (en) | 2021-12-07 |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102231792A (en) * | 2011-06-29 | 2011-11-02 | 南京大学 | Electronic image stabilization method based on characteristic coupling |
| CN105721776A (en) * | 2016-03-02 | 2016-06-29 | 湖南优象科技有限公司 | Sports camera device with digital image stabilization function and digital image stabilization method |
| CN106488081A (en) * | 2016-10-17 | 2017-03-08 | 深圳市前海视微科学有限责任公司 | Video Stabilization system and method |
| CN106534616A (en) * | 2016-10-17 | 2017-03-22 | 北京理工大学珠海学院 | Video image stabilization method and system based on feature matching and motion compensation |
| CN110047091A (en) * | 2019-03-14 | 2019-07-23 | 河海大学 | One kind is based on the estimation of camera track and the matched digital image stabilization method of characteristic block |
| CN110753181A (en) * | 2019-09-29 | 2020-02-04 | 湖北工业大学 | Video image stabilization method based on feature tracking and grid path motion |
-
2021
- 2021-09-16 CN CN202111083547.9A patent/CN113766132A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102231792A (en) * | 2011-06-29 | 2011-11-02 | 南京大学 | Electronic image stabilization method based on characteristic coupling |
| CN105721776A (en) * | 2016-03-02 | 2016-06-29 | 湖南优象科技有限公司 | Sports camera device with digital image stabilization function and digital image stabilization method |
| CN106488081A (en) * | 2016-10-17 | 2017-03-08 | 深圳市前海视微科学有限责任公司 | Video Stabilization system and method |
| CN106534616A (en) * | 2016-10-17 | 2017-03-22 | 北京理工大学珠海学院 | Video image stabilization method and system based on feature matching and motion compensation |
| CN110047091A (en) * | 2019-03-14 | 2019-07-23 | 河海大学 | One kind is based on the estimation of camera track and the matched digital image stabilization method of characteristic block |
| CN110753181A (en) * | 2019-09-29 | 2020-02-04 | 湖北工业大学 | Video image stabilization method based on feature tracking and grid path motion |
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Application publication date: 20211207 |