CN105959539A - Time-lapse photography method for automatically determining delay rate - Google Patents
Time-lapse photography method for automatically determining delay rate Download PDFInfo
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- CN105959539A CN105959539A CN201610302091.3A CN201610302091A CN105959539A CN 105959539 A CN105959539 A CN 105959539A CN 201610302091 A CN201610302091 A CN 201610302091A CN 105959539 A CN105959539 A CN 105959539A
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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
- H04N23/68—Control of cameras or camera modules for stable pick-up of the scene, e.g. compensating for camera body vibrations
- H04N23/681—Motion detection
- H04N23/6811—Motion detection based on the image signal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
- H04N5/91—Television signal processing therefor
- H04N5/915—Television signal processing therefor for field- or frame-skip recording or reproducing
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Compression Or Coding Systems Of Tv Signals (AREA)
Abstract
The invention puts forward a time-lapse photography method for automatically determining the delay rate, comprising the steps of analyzing the content of a video image frame by frame, building a background image, and automatically determining the speed of image trade-off according to the change rate of the image. Through the method, the content of a video can be analyzed automatically, the delay rate can be determined automatically according to the change of the content, useless video information can be discarded and useful video content can be retained greatly, the time for video playback is saved, and the efficiency is improved.
Description
Technical field
The invention belongs to camera technique field, a kind of time-lapse photography method automatically determining time delay speed.
Background technology
Time-lapse photography fixes time-lapse shooting also known as long-time timing, or " during contracting " photography (English: Time-lapse
Photography), it is a kind of by the technique for taking of Time Compression.Normal video photography is one second 30 width image,
And time-lapse photography shooting is one group of photo or video, the later stage is connected by photo or video takes out frame, a few minutes, several
Process compresses mode of a video in a relatively short period of time of hours the most several days several years is play.As we are at film
In the opening of flower seen, play back the process of flowering in a couple of days with the times of more than 10 seconds.
At present, time-lapse photography is used primarily in special video effect aspect, shows certain specially good effect changed (the flowers are in blossom, sunrise etc.).
Even if being used in field of video monitoring, being also with a kind of speed determined, there is no intellectual analysis content, automatically determine speed
Speed, intelligence abandons useless video information, and the most possible video content remained with.
Summary of the invention
Technical problem solved by the invention is to provide a kind of time-lapse photography method automatically determining time delay speed, divides frame by frame
The content of analysis video pictures, sets up background image, determines, according to rate of change, the speed that image is accepted or rejected.
The technical solution realizing the object of the invention is:
A kind of time-lapse photography method automatically determining time delay speed, comprises the following steps:
Step 1: quantization threshold is set, and uses mixed Gauss model Algorithm Learning and set up background image；
Step 2: distinguish the background image pixels point in each frame and foreground image pixel；
Step 3: combine quantization threshold, filters out isolated foreground image pixel noise point, obtains the prospect of every two field picture
Image；
Step 4: the pixel correspondence of the foreground image of consecutive frame is subtracted each other, obtains the variation zone of the foreground image of consecutive frame
Territory；
Step 5: calculating rate of change x, the pixel number of the region of variation that described rate of change is defined as foreground image accounts for whole
The percentage ratio that image pixel is counted；
Step 6: accept or reject each two field picture according to rate of change x.
Further, the time-lapse photography method automatically determining time delay speed of the present invention, step 1 is particularly as follows: n before superposition
Each pixel of two field picture, adds up the changing value of each pixel, and filters changing value and exceed the picture of quantization threshold
Vegetarian refreshments, forms background image, wherein, n >=50 by remaining pixel.
Further, the time-lapse photography method automatically determining time delay speed of the present invention, step 2 is particularly as follows: by n frame figure
Subtracts each other as the pixel of each two field picture afterwards is corresponding with the pixel of background image, distinguish background image pixels point with
Foreground image pixel.
Further, the time-lapse photography method automatically determining time delay speed of the present invention, in step 3, quantization threshold will be exceeded
The pixel of value is as pixel noise point.
Further, the time-lapse photography method automatically determining time delay speed of the present invention, step 6 particularly as follows: every
(30-25x) second retains a frame, abandons remaining 30 (30-25x)-1 frame.
Further, the time-lapse photography method automatically determining time delay speed of the present invention, n=100.
The present invention uses above technical scheme compared with prior art, has following technical effect that
1, the method for the present invention can automatically analyze the content of video, according to the change of content, automatically determines the speed of time delay
Degree, abandons useless video information；
2, the method for the present invention can save video playback time, improves efficiency；
3, the video content that the method for the present invention can greatly remain with.
Accompanying drawing explanation
Fig. 1 is the time-lapse photography method flow diagram automatically determining time delay speed of the present invention.
Detailed description of the invention
Embodiments of the present invention are described below in detail, and the example of described embodiment is shown in the drawings, the most extremely
Same or similar label represents same or similar element or has the element of same or like function eventually.Below by ginseng
The embodiment examining accompanying drawing description is exemplary, is only used for explaining the present invention, and is not construed as limiting the claims.
A kind of time-lapse photography method automatically determining time delay speed, as it is shown in figure 1, comprise the following steps:
Step 1: quantization threshold is set, and uses mixed Gauss model Algorithm Learning and set up background image, particularly as follows:
Each pixel of n two field picture before superposition, adds up the changing value of each pixel, and filters changing value and exceed quantization
The pixel of threshold value, forms background image by remaining pixel, wherein, takes n=100.
Step 2: distinguish the background image pixels point in each frame and foreground image pixel, particularly as follows: by n two field picture
The pixel of each two field picture afterwards is corresponding with the pixel of background image to be subtracted each other, and distinguishes background image pixels point and front
Scape image slices vegetarian refreshments.
Step 3: combine quantization threshold, filters out isolated foreground image pixel noise point, obtains the prospect of every two field picture
Image, wherein, using exceed quantization threshold pixel as pixel noise point.
Step 4: the pixel correspondence of the foreground image of consecutive frame is subtracted each other, obtains the variation zone of the foreground image of consecutive frame
Territory.
Step 5: calculating rate of change x, the pixel number of the region of variation that described rate of change is defined as foreground image accounts for whole
The percentage ratio that image pixel is counted.
Step 6: accept or reject each two field picture according to rate of change x, particularly as follows: retain a frame every (30-25x) second, abandon
Remaining 30 (30-25x)-1 frame.
The above is only the some embodiments of the present invention, it is noted that for those skilled in the art
For, under the premise without departing from the principles of the invention, it is also possible to make some improvement, these improvement should be regarded as the present invention's
Protection domain.
Claims (6)
1. the time-lapse photography method automatically determining time delay speed, it is characterised in that comprise the following steps:
Step 1: quantization threshold is set, and uses mixed Gauss model Algorithm Learning and set up background image；
Step 2: distinguish the background image pixels point in each frame and foreground image pixel；
Step 3: combine quantization threshold, filters out isolated foreground image pixel noise point, obtains the prospect of every two field picture
Image；
Step 4: the pixel correspondence of the foreground image of consecutive frame is subtracted each other, obtains the variation zone of the foreground image of consecutive frame
Territory；
Step 5: calculating rate of change x, the pixel number of the region of variation that described rate of change is defined as foreground image accounts for whole
The percentage ratio that image pixel is counted；
Step 6: accept or reject each two field picture according to rate of change x.
The time-lapse photography method automatically determining time delay speed the most according to claim 1, it is characterised in that step 1
Particularly as follows: each pixel of n two field picture before superposition, add up the changing value of each pixel, and filter changing value
Exceed the pixel of quantization threshold, remaining pixel is formed background image, wherein, n >=50.
The time-lapse photography method automatically determining time delay speed the most according to claim 1 and 2, it is characterised in that
Step 2 particularly as follows: subtract each other corresponding with the pixel of background image for the pixel of each two field picture after n two field picture,
Distinguish background image pixels point and foreground image pixel.
The time-lapse photography method automatically determining time delay speed the most according to claim 1, it is characterised in that step 3
In, using exceed quantization threshold pixel as pixel noise point.
The time-lapse photography method automatically determining time delay speed the most according to claim 1, it is characterised in that step 6
Particularly as follows: retain a frame every (30-25x) second, abandon remaining 30 (30-25x)-1 frame.
The time-lapse photography method automatically determining time delay speed the most according to claim 2, it is characterised in that
N=100.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610302091.3A CN105959539A (en) | 2016-05-09 | 2016-05-09 | Time-lapse photography method for automatically determining delay rate |
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| CN201610302091.3A CN105959539A (en) | 2016-05-09 | 2016-05-09 | Time-lapse photography method for automatically determining delay rate |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105049674A (en) * | 2015-07-01 | 2015-11-11 | 中科创达软件股份有限公司 | Video image processing method and system |
| CN109120935A (en) * | 2018-09-27 | 2019-01-01 | 贺禄元 | A kind of coding method of video image and device |
| WO2020192461A1 (en) * | 2019-03-25 | 2020-10-01 | 华为技术有限公司 | Recording method for time-lapse photography, and electronic device |
| CN113556473A (en) * | 2021-09-23 | 2021-10-26 | 深圳市天和荣科技有限公司 | Shooting method and device for flower blooming process, electronic equipment and storage medium |
| CN113691721A (en) * | 2021-07-28 | 2021-11-23 | 浙江大华技术股份有限公司 | Synthesis method and device of time-lapse video, computer equipment and medium |
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| CN104349060A (en) * | 2013-08-06 | 2015-02-11 | 卡西欧计算机株式会社 | Image processing apparatus for time-lapse moving image, image processing method, and storage medium |
| CN104683765A (en) * | 2015-02-04 | 2015-06-03 | 上海依图网络科技有限公司 | Video concentration method based on mobile object detection |
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| US3643012A (en) * | 1970-02-16 | 1972-02-15 | Ampex | Rapid frame synchronization of video tape reproduce signals |
| US4271437A (en) * | 1979-06-06 | 1981-06-02 | Xenophon Scott | Time lapse videotape editor/controller |
| CN101159862A (en) * | 2007-11-29 | 2008-04-09 | 北京中星微电子有限公司 | Frame rate control method and device |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105049674A (en) * | 2015-07-01 | 2015-11-11 | 中科创达软件股份有限公司 | Video image processing method and system |
| CN109120935A (en) * | 2018-09-27 | 2019-01-01 | 贺禄元 | A kind of coding method of video image and device |
| WO2020192461A1 (en) * | 2019-03-25 | 2020-10-01 | 华为技术有限公司 | Recording method for time-lapse photography, and electronic device |
| CN113691721A (en) * | 2021-07-28 | 2021-11-23 | 浙江大华技术股份有限公司 | Synthesis method and device of time-lapse video, computer equipment and medium |
| CN113556473A (en) * | 2021-09-23 | 2021-10-26 | 深圳市天和荣科技有限公司 | Shooting method and device for flower blooming process, electronic equipment and storage medium |
| CN113556473B (en) * | 2021-09-23 | 2022-02-08 | 深圳市天和荣科技有限公司 | Shooting method and device for flower blooming process, electronic equipment and storage medium |
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