KR101945243B1 - Method and Apparatus For Providing Multiple-Speed Reproduction of Video - Google Patents
Method and Apparatus For Providing Multiple-Speed Reproduction of Video Download PDFInfo
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- KR101945243B1 KR101945243B1 KR1020160002313A KR20160002313A KR101945243B1 KR 101945243 B1 KR101945243 B1 KR 101945243B1 KR 1020160002313 A KR1020160002313 A KR 1020160002313A KR 20160002313 A KR20160002313 A KR 20160002313A KR 101945243 B1 KR101945243 B1 KR 101945243B1
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- G—PHYSICS
- G11—INFORMATION STORAGE
- G11B—INFORMATION STORAGE BASED ON RELATIVE MOVEMENT BETWEEN RECORD CARRIER AND TRANSDUCER
- G11B20/00—Signal processing not specific to the method of recording or reproducing; Circuits therefor
- G11B20/00007—Time or data compression or expansion
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- G—PHYSICS
- G11—INFORMATION STORAGE
- G11B—INFORMATION STORAGE BASED ON RELATIVE MOVEMENT BETWEEN RECORD CARRIER AND TRANSDUCER
- G11B20/00—Signal processing not specific to the method of recording or reproducing; Circuits therefor
- G11B20/00086—Circuits for prevention of unauthorised reproduction or copying, e.g. piracy
- G11B20/00166—Circuits for prevention of unauthorised reproduction or copying, e.g. piracy involving measures which result in a restriction to authorised contents recorded on or reproduced from a record carrier, e.g. music or software
- G11B20/00181—Circuits for prevention of unauthorised reproduction or copying, e.g. piracy involving measures which result in a restriction to authorised contents recorded on or reproduced from a record carrier, e.g. music or software using a content identifier, e.g. an international standard recording code [ISRC] or a digital object identifier [DOI]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
- H04N21/845—Structuring of content, e.g. decomposing content into time segments
- H04N21/8455—Structuring of content, e.g. decomposing content into time segments involving pointers to the content, e.g. pointers to the I-frames of the video stream
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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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Abstract
Disclosed is a method and an apparatus for reproducing an image at a double speed.
Provided are a method and an apparatus for speedily reproducing an image, which is capable of reproducing a smooth and stabilized image at various speeds by using a variation amount analysis between frames, in an image taken without a stabilizing device in a general photographing apparatus other than a fixed type camera.
Description
The present embodiment relates to a method and an apparatus for reproducing an image at double speed.
The contents described below merely provide background information related to the present embodiment and do not constitute the prior art.
Generally, "Time Lapse" is an imaging method in which still image data is continuously shot with an interval and recorded as one moving image data. For example, "time-lapse" is a photographing method in which a process of growing a plant or a change in weather is photographed at a predetermined time interval (interval) and then stored as one moving image data.
In recent years, as general imaging equipment such as 'sports' / 'action' / 'life' camcorders such as a handheld camera or GoPro HERO, a 'wearable camera' It is a tendency to frequently record, store and share everyday life, extreme situations, and non-shootable sports. However, images taken with a general shooting device (such as a 'sports' / 'action' / 'life' camcorder or a 'smart phone') have a problem that the image is too long or complicated and monotonous for the user to watch later.
Conventional techniques for solving the above-mentioned problems include a technique of applying a time-lapse image to an image photographed by general photography equipment ('sports' / 'action' / 'living' camcorder or 'smart phone' A technique of sampling only a frame corresponding to a set speed (for example, " 10 times speed ") has been used. In other words, the vast majority of videos that have not been edited and edited by professionals are long-lived and monotonous, providing a time-lapse feature that reduces video length for certain vendors.
However, when a frame corresponding to a predetermined speed is simply sampled and played back (image playback speed), the image may appear shaky or shaky. In other words, the time-lapse skips the frame according to the user-specified speed. In the case of the image taken while the photographer moves without the professional equipment for stabilizing the photographing equipment, it is inconvenient to view the camera because the camera has an unstable camera path there is a problem. Especially, in the case of playing back an image captured in a moving state rather than a fixed camera at a speed of 2x, the image corresponding to the final result applied with time-lapse may be largely shaken.
The present embodiment is directed to a method and an apparatus for performing a double speed reproduction of an image which enables a smooth and stabilized image to be reproduced at various speeds by using a variation amount analysis between frames, In order to solve the problem.
According to an aspect of the present invention, there is provided an operation method of a video double speed playback apparatus, comprising: an input step of inputting an original video; A frame matching step of calculating a correlation matrix by matching feature points of each frame of the original image with each other; Calculating a cost matrix comparing a correlation between frames based on the correlation matrix and selecting only a path frame having the highest correlation among frames based on the cost matrix; And a rendering step of rendering an image for double speed reproduction based on the path frame.
According to another aspect of the present invention, there is provided an image processing method comprising: inputting an original image in combination with hardware; A frame matching step of calculating correlation matrices by matching minutiae points of each frame of the original image with each other; Calculating a cost matrix for comparing associations between frames based on the correlation matrix and selecting only a path frame having the highest correlation among frames based on the cost matrix; And a rendering process of rendering an image for double speed playback based on the path frame.
According to another aspect of the present invention, there is provided an image processing apparatus including an input unit for inputting an original image; A frame matching unit for calculating correlation matrices by matching feature points of each frame of the original image with each other; A frame selector for calculating a cost matrix comparing the associativity between frames based on the correlation matrix and selecting only a path frame having the highest correlation among frames based on the cost matrix; And a rendering unit for rendering an image for double speed reproduction based on the path frame.
As described above, according to the present embodiment, it is possible to reproduce a smooth and stabilized image at various speeds by using a variation amount analysis between frames, in an image taken without a stabilizing device in a general photographing device, .
According to the present embodiment, when a frame corresponding to a predetermined speed is sampled, the image looks shaky or unstable. On the other hand, a cost matrix comparing the associativity between frames based on the correlation matrix is calculated, The path can be determined, and the data processing amount of computation can be reduced to increase the execution speed.
According to this embodiment, not only the cost matrix is calculated for all the frames, but the correlation matrix is compared only with the route frame selected by the greedy method, and the cost matrix is calculated, thereby reducing the amount of calculation.
FIGS. 1A and 1B are block diagrams schematically showing a video double speed playback apparatus according to the present embodiment.
FIG. 2 is a flowchart for explaining the video double speed playback process according to the present embodiment.
FIGS. 3A to 3C are diagrams for explaining a comparison between a general camera path and a stabilized camera path according to image double speed playback.
FIG. 4 is a flowchart for explaining a frame matching process according to the present embodiment.
5 is a flowchart illustrating a frame selection process according to the present embodiment.
6 is an exemplary diagram for explaining a cost matrix according to the present embodiment.
FIGS. 7A and 7B are diagrams for explaining a comparison between frame selection during normal speed reproduction and frame selection according to the present embodiment.
Hereinafter, the present embodiment will be described in detail with reference to the accompanying drawings.
The 'double speed reproduction' described in the present embodiment basically means a video which operates not only in a speed up video but also in a stable camera motion. In other words, the 'speed reproduction' described in this embodiment means a fast image (stable and fast reproduced image) moving in a stable camera path.
The 'stable image' described in this embodiment means that an image matching the camera path photographed by the expert is output. Normally, a specialist shoots a moving camera path that does not shake the image by using an imaging assistant when shooting while moving.
'Correlation matrix (homography)' described in this embodiment means a matrix including variation parameter between adjacent frames. "Correlation matrix" is x-axis shift amount (t x) parameters, y-axis movement amount (t y) parameters, the rotational angle (Angle) (θ) parameters, the size (Scale) parameter, the aspect ratio (Aspect Ratio) parameters, the front end (Shear ) ≪ / RTI > parameter and a perspective parameter. The 'correlation matrix' may be a 3 × 3 matrix. The 'correlation matrix' does not need to be recalculated once it is calculated and saved.
The 'Cost Matrix' described in this embodiment means a kind of scalar value obtained by comparing correlation matrices between frames. The 'cost matrix' is newly calculated using the pre-stored 'correlation matrix' according to the speed that the user inputs. A chain rule may be applied to a correlation matrix between neighboring frames in order to speed up the processing speed in calculating the 'cost matrix'.
FIGS. 1A and 1B are block diagrams schematically showing a video double speed playback apparatus according to the present embodiment.
The video double
Each component included in the image
Each component of the
The video double
The video
The
The
The feature
The
The
The
The
The
The
FIG. 2 is a flowchart for explaining the video double speed playback process according to the present embodiment.
The video-
The image-
The image
The video
First, the image
Since the
The image
Since the correlation matrix between neighboring frames does not need to be recalculated once calculated, only the cost matrix is re-calculated according to the speed set by the user, and the computation processing can be performed quickly each time the user controls the speed.
The image data
The image double
Although it is described in Fig. 2 that steps S210 to S250 are sequentially executed, the present invention is not limited thereto. In other words, Fig. 2 is not limited to the time-series order, as it would be applicable to changing and executing the steps described in Fig. 2 or executing one or more steps in parallel.
As described above, the overall operation of the image double speed playback according to the embodiment described in FIG. 2 can be implemented by a program and recorded on a computer-readable recording medium. The program for realizing the overall operation of the image double speed reproduction according to the present embodiment is recorded, and the computer readable recording medium includes all kinds of recording devices for storing data that can be read by the computer system.
FIGS. 3A to 3C are diagrams for explaining a comparison between a general camera path and a stabilized camera path according to image double speed playback.
3A is a diagram showing a camera path when an image is photographed by a general photographing method. In the case of shooting everyday life, extreme situations, sports which can not be photographed, and the like, with a photographing device such as a handheld camera or a kohf hero, the image is too long, complex, and monotonous. In other words, a video shot with a common imaging device without professional assistant equipment has a shaky camera path, as shown in FIG. 3A, because there is no professional editing.
FIG. 3B is a view showing a camera path photographed in a general photographing mode by a single smooth camera path (Smooth Camera Path). Generally, when stabilizing an unstable camera path as shown in FIG. 3A, a smooth camera path is generated as shown in FIG. 3B.
3C is a diagram showing an example in which the shaky path is changed to have a stabilized hardness. The image double
FIG. 4 is a flowchart for explaining a frame matching process according to the present embodiment.
The image double
The image
The video
In step S430, the image-
The correlation matrix is a 3x3 matrix and includes up to eight change value parameters excluding one in a 3x3 matrix. Correlation matrix is a 3 × 3 matrix, a change amount parameter between adjacent frames, x-axis movement amount (t x) parameters, y-axis movement amount (t y) parameters, the angle of rotation (θ) parameters, size parameters, and the aspect ratio parameter, shear parameters And a projection parameter.
Hereinafter, the correlation matrix H (t) will be described.
When the correlation matrix H (t) is composed of a translation motion model including 2 DOF (Degree of Freedom), the x-axis movement amount (t x ) parameter and the y-axis movement amount (t y ) .
When the correlation matrix H (t) is composed of an Euclidean Motion Model including 3 DOF, the x-axis movement amount (t x ) parameter, the y-axis movement amount (t y ) &thetas;) parameter.
Correlation matrix (H (t)) is the similarity motion model comprising a 4 DOF (Similarity Motion Model), x-axis movement amount (t x) parameters, y-axis movement amount (t y) parameters, the rotational angle (θ) have been made to Parameters, and size parameters.
If made of a correlation matrix (H (t)) the affine motion model including a 6 DOF (Affine Motion Model), x-axis movement amount (t x) parameters, y-axis movement amount (t y) parameters, the rotation angle (θ ) Parameters, size parameters, aspect ratio parameters, and shear parameters. Parallel lines are preserved for affine motion models.
Correlation matrix (H (t)) is the projection motion model (Perspective Motion Model), x-axis movement amount (t x) parameters, y-axis movement amount (t y) parameters, the rotational angle (θ) have been made by including a 8 DOF Parameters, size parameters, aspect ratio parameters, shear parameters, and projective parameters. Parallel lines are not preserved for the projective motion model.
4, steps S410 to S430 are sequentially executed. However, the present invention is not limited to this. In other words, Fig. 4 is not limited to the time-series order, since it would be applicable to changing or executing the steps described in Fig. 4 or executing one or more steps in parallel.
As described above, the frame matching process according to the present embodiment described in FIG. 4 can be implemented as a program and recorded in a computer-readable recording medium. A program for implementing the frame matching process according to the present embodiment is recorded, and a computer-readable recording medium includes all kinds of recording devices for storing data that can be read by a computer system.
5 is a flowchart illustrating a frame selection process according to the present embodiment.
The image-
The relation between the frames is calculated by comparing the 'first frame' and the 'second to 32nd frame' when the image double
In order to confirm the association between the 'first frame' and the 'tenth frame' in general, it is necessary to combine all the feature points and descriptor combinations extracted from the 'tenth frame' The matrices must be matched to calculate the matrices in a comparative manner.
However, in this embodiment, the cost matrix corresponding to the speed input by the user can be quickly calculated by using the correlation matrix of '1,799' previously calculated by performing step S430.
In step S510, the video double-
In the case of calculation using a general frame comparison method, a correlation matrix is calculated by a method of comparing 'first to second frame', and a correlation matrix is calculated by matching the 'first to third frame' . In the case of calculating the correlation matrix in the above-described manner, the calculation amount becomes large. Therefore, the correlation matrix of '57, 568' should be calculated instead of calculating the correlation matrix of '1,799' as in the present embodiment. The image
In step S510, a method for calculating the correlation (C m ) between frames in the image-by-
C r: i image shift amount between the first frame and the j th frame, T: i-th frame and the correlation between the j-th frame related functions, i: i-th frame index (Index), j: j-th frame index, C 0: x 0 is the center x coordinate value of the image, y 0 is the center y coordinate value of the image, C m is the correlation between the frames, and the amount of overlap between the image and the moving image is A value that determines the total movement level in terms of the amount, and Γ is the maximum threshold. For example, when the value of C r (i, j) is larger than τ c , the value of Γ is used as the maximum value. τ c : Threshold
Generally, frames that have a high correlation between frames must be computed for all feature points in order to use the average value of geometric re-projection errors, and a chain rule for fast operations is applied can not do. Since the image double
Double-
In step S520, when the image is reproduced at the 16x speed, the image quality doubling
i: i-th frame index, j: j-th frame index, v: user-defined double speed playback value. For example, values of 2, 4, 8, and 16 are input. C m is a value for determining the total movement level between the i-th image and the j-th image in terms of the amount of image movement and the amount of overlapping, and λ s is a weight for keeping the speed, and a value between 0.0 and 1.0 is mainly used . C s : Speed correction value to satisfy the speed set by the user. For example, when the user's desired speed is 8, the value of C s is the smallest value when the difference between i and j is 8. The reason why the value of C s is required is that the matching degree of the images is the highest in the nearest frame, and the user can not satisfy the desired speed if only the nearest frame is selected. C (i, j, v): The value used in the final cost matrix. The value of C (i, j, v) is a value including the degree of matching of the image and the frame jump (skip) level. The value of C (i, j, v) is used to find the value of i, j so as to minimize the value of C (i, j, v) τ s is a threshold value, which is a preset upper limit value because it affects the determination of the frame if the weight value of the frame playback speed is too large. τ s can generally be a value of 200, but specific values can be changed depending on the setting.
Video
The image
First, the image
The video-
The image-
The image-
The image double
The image
Although it is described in Fig. 5 that steps S510 to S530 are sequentially executed, the present invention is not limited thereto. In other words, Fig. 5 is not limited to a time series order, since it would be applicable to changing and executing the steps described in Fig. 5 or executing one or more steps in parallel.
As described above, the frame selection process according to the present embodiment described in FIG. 5 can be implemented as a program and recorded in a computer-readable recording medium. A program for implementing the frame selection process according to the present embodiment is recorded, and a computer-readable recording medium includes all kinds of recording devices for storing data that can be read by a computer system.
6 is an exemplary diagram for explaining a cost matrix according to the present embodiment.
The image-aspect-
The image-speed-
The video
The image
The image
Hereinafter, the cost matrix calculation method will be described.
As shown in FIG. 6, the image double-
As shown in FIG. 6, the image-
The image double
As shown in FIG. 6, the image double-
As shown in FIG. 6, the
The image
The image double
FIGS. 7A and 7B are diagrams for explaining a comparison between frame selection during normal speed reproduction and frame selection according to the present embodiment.
FIG. 7A is a diagram for explaining comparison of selected frames during double speed reproduction of an image. FIG. The dotted line shown in FIG. 7A is a graph reconstructed based on a value obtained by observing how much the camera moved in the 'y-axis' direction when an actual person is running. Since the actual person is running, the 'y axis' shows motion in the pixel range of '-100 to 100' within '50 frames'. In other words, it can be seen that the image is greatly shaken by the dotted line graph.
The circular point (O) shown in FIG. 7A is a graph showing a case where a frame is selected at a normal speed. For example, in the case of time-lapse of '8x speed', in the case of selecting '16 frames', '24 frames', '32 frames' or the like, even if the frame is stabilized with a selected circle as shown in FIG. , The stabilization result is not good.
The star point (*) shown in FIG. 7A is a graph showing a case where a frame is selected in a manner according to the present embodiment. When selecting a frame for double speed playback as in the star point (*) shown in FIG. 7A, even if the frame is selected as '8x', one frame is selected as '15 frames' and one frame is selected as '30 frames' So that a high frame is selected. That is, it is possible to select a frame positioned after the '8x speed', or to select a frame with a high correlation among frames by selecting a frame before the '8x speed'. In other words, when the frame is skipped, the video double-
The circular point (O) on the solid line graph shown in FIG. 7B is a result of selecting the frame at the normal speed, and the star point (*) on the solid line graph is the result of selecting the frame at a variable interval.
In the case of comparing the graph shown with the circular dots shown in FIG. 7B and the graph showing the star point, stability is high when a frame is selected at a variable interval. When estimating a three-dimensional camera path, accuracy can be improved, but the speed is too slow due to too much computation. In this embodiment, double speed reproduction is implemented in a two-dimensional manner, but the calculation amount can be reduced to enable quick calculation.
In the present embodiment, the video double
As shown in FIG. 7B, when comparing a circular point graph when a frame is selected at a normal speed and a star point graph selected at a variable interval, the hatched line graph is' 16 when a frame is selected for double speed reproduction Quot ;, it is possible to select a frame located before the " 16x speed ", or to select a frame after a longer time.
It can be confirmed that a stable result with little change in the y-axis movement amount is generated even through the optimum frame selection as shown by the dotted line in FIG. 7A. That is, when selecting a frame for double speed reproduction, a frame having a high correlation can be selected by selecting a frame at a variable interval, and as a result, a stable result can be output at the time of double speed reproduction.
The foregoing description is merely illustrative of the technical idea of the present embodiment, and various modifications and changes may be made to those skilled in the art without departing from the essential characteristics of the embodiments. Therefore, the present embodiments are to be construed as illustrative rather than restrictive, and the scope of the technical idea of the present embodiment is not limited by these embodiments. The scope of protection of the present embodiment should be construed according to the following claims, and all technical ideas within the scope of equivalents thereof should be construed as being included in the scope of the present invention.
As described above, the present embodiment is applied to the field of scene analysis in the field of computer graphics, so that a smooth and stabilized image can be obtained at various speeds by using a variation amount analysis between frames, It is a useful invention that produces an effect that can be reproduced.
100:
110: input unit 120: frame matching unit
130: frame selecting unit 140: path stabilizing unit
150:
122: feature point extraction unit 124: descriptor verification unit
126: Correlation Calculator
132: cost calculation unit 134: frame check unit
136: Optimum path calculation unit
Claims (10)
An input process for inputting an original image;
A frame matching step of calculating a correlation matrix by matching feature points of each frame of the original image with each other;
Calculating a cost matrix comparing a correlation between frames based on the correlation matrix and selecting only a path frame having the highest correlation among frames based on the cost matrix; And
And rendering the image for double speed playback based on the path frame,
Wherein the frame matching process includes: extracting feature points of all the frames included in the original image; A confirming step of confirming a descriptor for each minutiae of each of the frames; And calculating the correlation matrix between frames by matching the descriptors with each other among neighboring frames of all the frames.
Wherein the correlation matrix comprises:
As the amount of change parameters between the adjacent frames, x-axis movement amount (t x) parameters, y-axis movement amount (t y) parameters, the rotational angle (Angle) (θ) parameters, the size (Scale) parameter, the aspect ratio (Aspect Ratio) parameters, the front end A Shear parameter, and a Perspective parameter. The method of claim 1,
Wherein the correlation matrix calculation step comprises:
And selectively removing an outlier by using an algorithm for selecting a model having a maximum consensus in the random sample data when matching the descriptors of the neighboring frames by a method of comparing the descriptors with each other. A method for reproducing an image at a double speed.
An input process for inputting an original image;
A frame matching step of calculating a correlation matrix by matching feature points of each frame of the original image with each other;
Calculating a cost matrix comparing a correlation between frames based on the correlation matrix and selecting only a path frame having the highest correlation among frames based on the cost matrix; And
A rendering process of rendering an image for double speed playback based on the path frame,
Wherein the frame selection step compares the values of up to a predetermined multiple of the playback speed with respect to the value of the first frame in the correlation matrix to select a first path frame having a minimum change value process; Selecting a second path frame having a minimum change value by comparing values of the correlation matrix up to a frame having a predetermined multiple from the frame having the minimum change value; And selecting a path frame having a minimum change value until the last frame of the correlation matrix.
An input process for inputting an original image;
A frame matching step of calculating a correlation matrix by matching feature points of each frame of the original image with each other;
Calculating a cost matrix comparing a correlation between frames based on the correlation matrix and selecting only a path frame having the highest correlation among frames based on the cost matrix; And
A rendering process of rendering an image for double speed playback based on the path frame,
Wherein the frame selection process comprises: calculating an inter-frame correlation with a change value obtained by comparing a correlation matrix up to a frame in which a frame is twice as much as a playback speed based on a correlation matrix of an initial frame; Calculating a doubling satisfaction value for satisfying a speed set by the user for each frame; And calculating the cost matrix by combining the inter-frame correlation with a value for satisfying the speed set by the user, and repeating the process of selecting a frame having the minimum value among the cost matrices as the path frame to the last frame And reproducing the video at a rate of two times.
In calculating the double speed satisfaction value, the double speed satisfaction value is calculated on the basis of the i-th frame index (i), the j-th frame index (j), the user set speed playback value v and the threshold value τ s ,
Wherein the cost matrix is calculated on the basis of a quantity (C m ) of the image movement amount and degree of overlap in the repeating process, a weight (λ s ) of a value for keeping the speed, How to play.
In the process of calculating the association,
Wherein the inter-frame correlation is calculated by multiplying a correlation matrix of a reference frame by a correlation matrix of the following frames.
An input process for inputting an original image;
A frame matching step of calculating correlation matrices by matching minutiae points of each frame of the original image with each other;
Calculating a cost matrix for comparing associations between frames based on the correlation matrix and selecting only a path frame having the highest correlation among frames based on the cost matrix; And
A rendering process of rendering an image for double speed reproduction based on the path frame
Wherein the frame matching process includes: extracting feature points of all the frames included in the original image; A confirming step of confirming a descriptor for each minutiae of each of the frames; And calculating the correlation matrix between frames by matching the descriptors among neighboring frames of all the frames in a manner of comparing the descriptors with each other.
A frame matching unit for calculating correlation matrices by matching feature points of each frame of the original image with each other;
A frame selector for calculating a cost matrix comparing the associativity between frames based on the correlation matrix and selecting only a path frame having the highest correlation among frames based on the cost matrix; And
A rendering unit for rendering an image for double speed playback based on the path frame,
Wherein the frame matching unit extracts feature points of all the frames included in the original image, identifies a descriptor for each feature point of each of the frames, and identifies the descriptors among neighboring frames of all the frames, And the correlation matrix between the frames is calculated by matching with each other in a manner of comparing them.
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