JP2009153000A - Video editing apparatus and video editing program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a video editing apparatus by which a series of video data are color-corrected while reducing the load of a color correction work, and to provide a video editing program. <P>SOLUTION: The video editing apparatus sets the same subject, selected from among at least two of a series of video data items, as a color correction target (S11), extracts a representative pixel value from image regions within a predetermined range including the relevant subject for each of the at least two video data items (S12), determines a color correction parameter which minimizes a color error between the relevant representative pixel values in each of the at least two video data items (S13), and performs color correction upon all the at least two video data items based on the relevant determined color correction parameter (S15). <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a video editing apparatus and a video editing program for performing color correction on video data constituting a video signal.

  In video editing, it is necessary to create a program by connecting a large number of cuts (a series of video data). At this time, each cut often includes the same subject, but the same subject does not always have the same color due to many factors such as lighting conditions at the time of shooting, camera adjustment, and shooting environment. . For this reason, even if there is no problem when the cut is viewed independently, there are many cases where the difference in color is a concern when the images are continuously joined together by video editing. For this reason, it is necessary to correct the color of one of the cuts (usually, the editing is performed from the beginning of the program and the subsequent cut).

  Conventionally, since this is performed manually, very skillful techniques are required, and more trial and error are required, which is very time consuming. For example, in order to correct a difference in video data due to camera adjustment or the like, it is necessary to adjust the following parameters.

・ Gain of each RGB color (3 types)
・ Saturation and hue (2 types)
・ Black level of each RGB color (3 types)
・ Gamma of each color of RGB (3 types)

  On the other hand, as a color correction device for video data in a video signal composed of a luminance signal and a color difference signal (both can be converted from the above parameters), a so-called color difference signal is compared with a predetermined low saturation level. A technique for performing color correction using either a luminance signal or a color difference signal based on the magnitude is disclosed (for example, see Patent Document 1).

JP-A-7-131807

  In video editing, there is a case where a difference in color (for example, skin color) of a certain object cannot be ignored and color correction is desired. If only three of the parameters described above are adjusted, a desired color can be obtained for the skin color of the object. However, for example, when the gain of each color before the color correction of the target object is different, if the parameter of the target object is adjusted, the color of another target object (for example, the color of the clothes) The color may be different from the desired color. For this reason, it is necessary to adjust necessary parameters while always referring to the colors of a plurality of target pixels (for example, target objects). For this reason, skill is required for color correction and it takes time.

  The present invention provides a video editing apparatus and a video editing program that realize color correction of a series of video data while reducing the color correction work by semi-automating so as to support these color correction work. It is in.

  In order to perform all processing automatically, it is preferable to make it semi-automatic from the viewpoint that a very large-scale apparatus is required and the selectivity by the user is taken into consideration. In addition, it is sometimes necessary to perform very complicated processing with the current technology just by determining which of the two cuts is the same subject.

  On the other hand, if the entire screen is color-corrected while paying attention to only one target color as described above, it is not easy to determine which parameter to be adjusted is appropriate, so multiple colors should be handled simultaneously. To. This is difficult for humans, but can be handled according to the present invention.

  Therefore, the video editing apparatus and the video editing program according to the present invention automatically calculate a color correction parameter for correcting a difference in color of a desired subject between cuts when video editing is performed. Semi-automated color conversion of video data is realized so that the user's color correction work is minimized.

  That is, the video editing apparatus according to the present invention is a video editing apparatus that performs color correction on a series of video data required for video editing, and is selected from at least two video data among the series of video data. Means for setting the same subject as a color correction target, means for extracting a representative pixel value from an image area within a predetermined range including the subject for each of the at least two video data, and at least Means for determining a color correction parameter that minimizes a color error between the representative pixel values in each of the two or more video data, and the at least two or more based on the determined color correction parameter Means for correcting the color of all the video data.

  Further, in the video editing apparatus according to the present invention, the means for extracting the representative pixel value calculates a histogram within a predetermined range including the subject for each of the at least two or more video data. When the pixel values of the maximum number of levels are extracted from each of the image data, the pixel values extracted in each of the at least two video data are within a predetermined range in each of the at least two video data The pixel value is selected as a representative pixel value.

  In the video editing apparatus of the present invention, the representative pixel value is four or more in each of the at least two video data, and the means for determining the color correction parameter is the four or more. The color correction parameter that minimizes the color error is determined using the representative pixel values of the above.

  In the video editing apparatus of the present invention, the color correction parameters are configured in a format in which individual parameters can be changed by a user.

  Furthermore, the present invention provides a computer functioning as a video editing apparatus for color correcting a series of video data required for video editing, by using the same video data selected from at least two of the series of video data. A step of setting a subject as a color correction target, a step of extracting a representative pixel value from an image area within a predetermined range including the subject for each of the at least two video data, and the at least two A step of determining a color correction parameter that minimizes a color error between the representative pixel values in each of the above video data, and the at least two or more videos based on the determined color correction parameter It is also characterized as a video editing program for executing the step of color correcting all of the data.

  In video editing, it is possible to reduce the processing burden on the user related to color correction.

  A video editing apparatus according to an embodiment of the present invention will be described below.

  FIG. 1 shows the configuration of a basic non-linear editing machine. A non-linear editing machine is known as a moving image editing device for freely changing a time series of a plurality of cuts and performing editing such as clipping and color conversion. In the present embodiment, description will be made based on a non-linear editing machine as shown in FIG. 1, but it can be configured not only as a hardware-dedicated device but also preferably by using a general-purpose personal computer. it can. Therefore, the present invention can be used in an editing apparatus other than the configuration described in this embodiment, and is not limited.

  A non-linear editing machine 1 shown in FIG. 1 includes an input I / O unit 2, a disk 3, an output I / O unit 4, a central processing unit (CPU) 5, and a memory 6.

The input I / O unit 2 inputs a video material composed of a plurality of cuts SC ₁ , SC ₂ ,... SC _n (n is a natural number of 1 or more) and stores the video material in the disk 3. The input I / O unit 2 can use any recording medium such as a magnetic disk and / or an optical disk to input video material, or can be realized as an interface via a network.

The disc 3 stores input video materials SC ₁ , SC ₂ ,..., SC _n , and freely changes the time series of a plurality of cuts according to a user's request or automatically, and performs clip and color Used for editing such as conversion. The disk 3 can be configured as a so-called work memory, and any storage means used for video editing can be used.

The output I / O unit 4 uses the edited cuts SC ₁ ′, SC ₂ ′,... SC _n ′ from the disk 3 as program data, that is, video signals, for example, to a monitor (not shown) or the like Output. Note that any type of medium may be used for output from the output I / O unit 4.

  A central processing unit (CPU) 5 functions to input edit data and color correction parameters and edit video data on the disc 3 in response to a user request. The CPU 5 can control the main editing operation and data input / output, and can achieve all operations necessary for the control by executing a program read from the memory 6. In particular, the CPU 5 can function to realize each processing step (or means) described later.

  The memory 6 can store edit data and color correction parameters input under the control of the CPU 5. The memory 6 can store a program necessary for the operation of the CPU 5, and can be a ROM or a RAM, or a hard disk provided outside or inside the apparatus. Each data and program in the memory 6 is appropriately stored or read by the CPU 5.

  FIG. 2 shows schematic processing steps in the video editing apparatus of this embodiment.

  The video editing apparatus 1 of the present embodiment can preferably use a computer so as to color-correct a series of video data required for video editing. Further, the computer functioning as the video editing apparatus 1 sets a same subject selected from at least two video data of a series of video data as a color correction target, and at least two video data. For each, a color error is minimized between the step of extracting a representative pixel value from an image region within a predetermined range including the subject and the representative pixel value in each of at least two or more video data. A video editing program for executing a step of determining a color correction parameter to be and a step of performing color correction on all of at least two video data based on the determined color correction parameter is stored in the memory 6. It is stored and can be executed under the control of the CPU 5.

  In such a computer, part or all of the above steps can be dedicated as hardware. Further, each of the above steps can be dedicated as a corresponding means configured to make the video editing apparatus 1 function. Each of these steps will become apparent in the following description.

  Step S11 is a step of performing “designation of a subject” and setting the same subject selected from at least two or more pieces of video data among a series of video data as a color correction target. Specifically, under the control of the CPU 5, for example, in two cuts, an image area having the same subject designated by the user is set as a color correction target. The CPU 5 performs control so that the user can perform this operation while looking at a monitor (not shown) (this can be configured in the same manner as application software generally known on a computer). Is clear and will not be described in detail.) Further, under the control of the CPU 5, the peak luminance value for the entire screen area of each cut as a default designated by the user is also stored in the memory 6 as a correction amount detection sample to be described later.

  Step S12 is a step of extracting a representative pixel value from an image area within a predetermined range including the selected subject for each of at least two or more video data for performing “selection and association of representative color”. It is. Specifically, under the control of the CPU 5, in the specified cut on the disk 3, a representative color from the vicinity (image area within a predetermined range) near the position specified by the user (that is, the image area where the subject is located). A representative color for calculating an optimum correction parameter is selected. More specifically, in each of at least two or more pieces of video data, a histogram within a predetermined range including the subject is calculated, pixel values of the maximum number of levels are extracted from each histogram, and the at least 2 When the pixel value extracted in each of the two or more video data is within a predetermined range in each of the at least two or more video data, it is selected as a representative pixel value. The representative color is defined as a characteristic pixel value occupied in the area. The selected representative color is stored in the memory 6 under the control of the CPU 5. The selection of the representative colors is performed for each cut under the control of the CPU 5, and the position coordinates and RGB values of each representative color are associated with each other and stored in the memory 6. Further, it is preferable that the representative pixel value is four or more in each of the at least two or more video data. When determining the color correction parameter described later, four or more representative pixel values are used. Using the pixel value, a color correction parameter that minimizes the color error is determined.

  In step S13, "calculation of color correction parameters" is performed. Color correction parameters that minimize the color error between the representative pixel values (ie, representative colors) in each of at least two or more video data. It is a step to determine. Specifically, under the control of the CPU 5, optimal color correction parameters (gain of each RGB color, saturation, hue, black level of each RGB color, and gamma of each RGB color) are calculated for each selected representative color. The optimized color correction parameters can be stored in the memory 6 under the control of the CPU 5.

  Step S14 is a step in which “correction sensitivity setting” is performed and color correction is performed using a value appropriately weighted by the user as an option without using the color correction parameter determined using the representative color. Specifically, the user can select whether to use the color correction parameter determined using the representative color under the control of the CPU 5. When the user does not use the color correction parameter determined using the representative color, the user adaptively sets the ratio of an arbitrary color correction parameter designated by the user based on how much the color correction parameter is applied to the subject. Can be set.

  The step S15 performs “color correction” on the video data of the entire plurality of cuts including the subject, and color corrects all of at least two or more video data based on the determined color correction parameter. It is a step. Specifically, color correction of video data is performed based on the finally determined color correction parameter under the control of the CPU 5.

  Thus, the video editing apparatus 1 according to the present embodiment performs color correction processing of video data according to the processing procedure shown in FIG. FIG. 3 is a flowchart for explaining how the video editing apparatus according to the present embodiment reduces the processing burden on the user.

Referring to FIG. 3, in step 21, “input video material” is performed. The video material data is taken in through the input I / O unit 2 and stored on the disk 3 by a predetermined operation of the user (that is, an operator). Each cut is stored so that it can be identified, for example, cut SC ₁ , cut SC ₂ ,..., Cut SC _n .

In step S22, "modify video material" is performed. When the automatically calculated color correction parameter is designated by a predetermined operation by the user, the color correction of the video material data (for example, cut SC ₁ , cut SC ₂ ) is performed under the control of the CPU 5. Therefore, the color correction parameters determined in the present embodiment are configured in a format in which individual parameters can be changed by the user.
The color-corrected video material data is, for example, cut SC ₁ ′, cut SC ₂ ′,..., Cut SC _n ′.

In step S23, "video editing" is performed. When a type of edit data composed of a plurality of video material data, for example, dissolve (for example, composition of cut SC ₁ ′ and cut SC ₂ ′) is designated by a predetermined operation by the user, an image for edit data is controlled by the CPU 5. Generate. For example, a dissolved image (cut SC _1-2 ) is generated under the control of the CPU 5. Next, the images for editing data generated in the order of program output under the control of the CPU 5 are arranged on the disc 3 in accordance with the user's predetermined operation or automatically under the control of the CPU 5 according to the type of editing data.

  In step S24, "program output" is performed. A video signal constituting desired color-corrected editing data is output through the output I / O unit 4 automatically by a user's predetermined operation or under the control of the CPU 5.

  As described above, as the simplest operation, the user can specify desired video data that has been color-corrected by specifying the video material, selecting or specifying the color correction parameter to be applied, and specifying the type of editing data. A video signal can be obtained.

  Hereinafter, in order to facilitate understanding of the present invention, the steps of FIG. 2 described above will be described in more detail with respect to the case of performing color correction of video data using two cuts, although not limited thereto.

(Step S11: Specification of subject)
When the same subject is shot with two cuts (SC ₁ , SC ₂ ), the user designates the coordinates of the subject. For example, referring to FIG. 5, region OBT ₁ and region OBT ₂ . In addition, the peak luminance area in each cut is automatically detected, and the value is also used as data for calculating a color correction parameter described later.

(Step S12: Selection and association of representative colors)
FIG. 4 shows a flow of representative color selection and association processing in this embodiment. In order to help understanding of the present embodiment, the following notation is used.

I, J: Screen size (designated by the number of pixels. For example, I: 1920, J: 1080)
(I ₁ , j ₁ ): position on the screen of the subject specified by the cut SC ₁ (i ₂ , j ₂ ): position on the screen of the subject specified by the cut SC ₁ • R (i, j ): Signal level value of R color at screen position (i, j) (for example, 8 bits)
G (i, j): G signal level value at the screen position (i, j) (for example, 8 bits)
B (i, j): B level signal level value (for example, 8 bits) at the screen position (i, j)
H: Number of levels in each RGB color when creating a histogram (for example, 30)
F (h _r , h _g , h _b ): Histogram corresponding to RGB values h _r , h _g , h _b (= 1 to H) R (n): N when n = 1 to N R signal level values for the representative colors G (n): n = 1 to N, G signal level values for the N representative colors B (n): n = 1 to N Signal level value of B color in N representative colors

  In step S31, first, a histogram within a predetermined region size L including the position of the subject designated by the user is calculated for each cut under the control of the CPU 5.

Specifically, a histogram F (h _r , h _g , h _b ) with a predetermined region size L is obtained. For example, in the cut SC ₁ , with respect to a certain pixel position (i, j), signal values R (i, j), G (i, j), and B (i, j) of RGB colors at the pixel position are expressed by the formula (1). satisfying _h r _of), h g, calculates a _{h b, (i 1 -L ≦} i ≦ i 1 ten _{L, j 1 -L ≦ j ≦} j 1 + L) h r calculated in a range of, h A histogram F (h _r , h _g , h _b ) of the _{g 1} and h _b values is created. At this time, the value of the pixel at the screen position (i, j) is included in F (h _r , h _g , h _b ).

Next, in step S32, a set of pixel values at the maximum pixel position is extracted from the histogram F (h _r , h _g , h _b ) of the cut SC ₁ . The extracted maximum set (h _rn , h _gn , h _bn ) is a pixel at a certain pixel position in the histogram F (h _r , h _g , h _b ) of the cut SC ₁ as shown in Expression (2). Value.

Subsequently, h _rl , h _rm , h _gl , h _gm , h _bl , and h _bm satisfying Expression (3) are calculated from the histogram F (h _r , h _g , h _b ) of the cut SC ₁ . Here, Tt is a predetermined threshold value (for example, 0.1). When the expression (3) is satisfied, it means that a set of pixel values approximate to RGB values corresponding to the extracted maximum set (h _rn , h _gn , h _bn ) exists in the region size L. ing.

When a plurality of regions having colors similar to the set of (h _r , h _g , h _b ) that are maximal within the region size L are extracted based on the equation (3), next, the vicinity of the subject in the cut SC ₁ In order to select as the representative color, the average value of the RGB values of the extracted region is calculated. That is, the average value is defined by equation (5) for the screen position (i, j) that satisfies equation (4). Here, N _n is the number of pixels that satisfy Expression (4). Incidentally, it is _{(i 1 -L ≦ i ≦ i} 1 Ten _{L, j 1 -L ≦ j ≦} j 1 + L).

The steps S31 and S32 repeatedly in the cut SC _1, selects the color of the representative performs similarly this respect cut SC _2. Before associating several representative colors between cuts, first, as initial values for representative color selection, the same subject but different screen positions (i _{1) in} each of the cuts SC ₁ and SC _2. , J ₁ ), (i ₂ , j ₂ ) that are closest to each other (that is, the smallest difference between the pixel values) are representative colors R (1), G (1), B (1). Set as.

  The number of representative colors obtained using at least two or more cuts is 11. However, since there are eleven color correction parameters as described above, the number is preferably four or more. Therefore, when only four representative colors can be obtained, the number of subjects to be specified is increased by using at least two or more cuts.

Next, in step S33, color association between the cuts is performed for the representative colors in each cut other than the closest representative colors R (1), G (1), and B (1) between the cuts. For example, the representative colors R ₁ (n), G ₁ (n), B ₁ (n) of the cut SC ₁ when n = 1 to N ₁ through steps S31 and S32, and n = 1 to N ₂ Assume that the representative colors R ₂ (n), G ₂ (n), and B ₂ (n) of the cut SC ₂ are calculated.

Here, as described above, R ₁ (1), G ₁ (1), B ₁ (1) and R ₂ (1), G ₂ (1), B ₂ (1) mean to correspond to each other. However, as for other representative colors, it remains unclear which corresponds between the cuts. Therefore, by the processing in step S33, the correspondence relationships of all the representative colors selected between the cuts are created.

That is, the representative of the representative color _{R 1 (n), G 1} (n), the color of the cut SC ₂ corresponding to _B 1 (n) is cut SC ₂ when the n = 1 to N ₂ in the cutting SC ₁ The color R ₂ (n), G ₂ (n), or B ₂ (n) can be determined based on whether or not a color satisfying the formula (6) exists. Δ is a predetermined allowable error.

Formula If any satisfying (6), a representative color _R 1 _(n), the representative color of the cut SC ₂ corresponding to _{G 1 (n), B 1} (n) in the cut SC _1, formula (6) if there is one satisfying, there will be no representative color of cut SC ₂ to the corresponding.

It is assumed that N corresponding representative color combinations are found by this inspection. In order to simplify the following description, when the order of each color is rearranged and non-corresponding colors are removed and n = 1 to N, R ₁ (n), G ₁ (n), B ₁ (n) Corresponds to R ₂ (n), G ₂ (n), B ₂ (n). It should be noted that this correspondence relationship includes the value of the peak luminance of the entire cut obtained as described above. Such association can be appropriately stored in or taken out from the memory 6 under the control of the CPU 5 as combination information of pixel positions and pixel values in each cut including the value of the peak luminance of the entire cut.

(Step S13: Color correction parameter calculation)
The procedure for calculating the color correction parameter will be described below. The following notation is used as a variable used for the repetitive calculation for determining the color correction parameter. First, an appropriate initial value is set.

S _R , S _G , S _B : Black level of each RGB color (initial value is 0.0)
Γ _R , γ _G , γ _B : Gamma of each color of RGB (initial value is 1.0)
A _R , A _G , A _B : RGB color gain (initial value is 1.0)
A _C : Saturation (initial value is 1.0)
・ Θ: Hue (initial value is 0.0)

R ₁ (n), G ₁ (n), and B ₁ (n) are converted to R ₅ (n), G ₅ (n), and B ₅ (n) by Expression (7) to Expression (9). Incidentally, M _{G, M YC,} and M _SH is a typical matrix equation used in the color space conversion may be used conversion equation corresponding to the monitor characteristics and desired video output or the like.

  Next, the color error E is defined by Expression (10).

  In order to minimize E, the gain is changed using the default peak luminance of the entire screen, the black level and gamma are changed using the histogram, and the procedure of changing the saturation and hue is repeated. Then, the color correction parameter that determines the minimum color error E among the color errors E calculated for a plurality of representative color combinations straddling two cuts is determined. Since the number of color samples is small, this calculation time can be performed in a short time with a current normal computer.

(Step S14: Correction sensitivity setting)
Depending on how the program is created, some color correction may not be performed. For example, in order to create a darker atmosphere in the next cut, the saturation and hue are adjusted, but the gain is not adjusted. For this reason, it is preferable to prepare as an option a setting method in which appropriate sensitivity is weighted on the user side in advance, instead of correcting with the optimum color correction parameter obtained by the equation (3). Therefore, the video editing apparatus 1 can be configured so that it can be specified by the user. For example, without correcting with the optimum color correction parameter obtained by Expression (3), regarding the black level, the sensitivity correction amount is set as _WS , and the value of Expression (11) is set as a new black level correction amount for color correction. Use. Similarly, other corrections such as saturation, hue, or gain can be configured so as to be designated by the user as an option.

(Step S15: Color correction)
Finally, the color correction is performed for the entire cut of the series of video data with respect to the parameter value optimized by the representative color or the parameter value subjected to the sensitivity correction by Expression (11).

  As described above, the user can obtain an optimized color correction parameter only by selecting or designating a predetermined work element with respect to the video editing apparatus. It can be reduced.

  In the embodiment described above, the program describing the processing contents for realizing the function of each component can be recorded on a computer-readable recording medium. As the computer-readable recording medium, any recording medium such as a magnetic recording device, an optical disk, a magneto-optical recording device, and a semiconductor memory may be used.

  In addition, the program describing the processing contents can be distributed by selling, transferring, or lending a portable recording medium such as a DVD or CD-ROM, and such a program can be distributed on a network such as an IP. The program can be distributed by storing the program in a storage area of the server and transferring the program from the server to another computer via the network.

  In addition, a computer that executes such a program can temporarily store, for example, a program recorded on a portable recording medium or a program transferred from a server in its own memory. As another embodiment of the program, the computer may directly read the program from a portable recording medium and execute processing according to the program, and each time the program is transferred from the server to the computer. In addition, the processing according to the received program may be executed sequentially. Note that the program in this aspect includes information provided for processing of an electronic computer and equivalent to the program (data that is not a direct command to the computer but has a property that defines the processing of the computer). .

  Although the above embodiments have been described as representative examples, it will be apparent to those skilled in the art that many changes and substitutions can be made within the spirit and scope of the invention. For example, the video editing apparatus and the video editing apparatus include configurations as a video editing support apparatus and a video editing support apparatus that support a user's work procedure for color correction. Accordingly, the invention should not be construed as limited by the embodiments described above, but only by the claims.

  According to the present invention, the burden of color correction of video data can be reduced, which is useful for applications that require color correction in video editing.

It is a figure which shows the structure of the nonlinear editing machine used as a video editing apparatus of one Example by this invention. It is a figure which shows the rough operation | movement flow of the video editing apparatus of one Example by this invention. It is a figure which shows the one part operation | movement flow of the video editing apparatus of one Example by this invention. It is a figure which shows the one part operation | movement flow of the video editing apparatus of one Example by this invention. It is a figure which shows a series of cut examples in the video editing apparatus of one Example by this invention.

Explanation of symbols

1 Video Editing Device 2 Input I / O Unit 3 Disc 4 Output I / O Unit 5 CPU
6 memory

Claims (5)

A video editing device for color correcting a series of video data required for video editing,
Means for setting the same subject selected from at least two or more of the series of video data as a color correction target;
Means for extracting a representative pixel value from an image area within a predetermined range including the subject for each of the at least two video data;
Means for determining a color correction parameter that minimizes a color error between the representative pixel values in each of the at least two or more video data;
Means for color correcting all of the at least two or more video data based on the determined color correction parameter;
A video editing apparatus comprising:   The means for extracting the representative pixel value calculates a histogram within a predetermined range including the subject in each of the at least two or more pieces of video data, and calculates a pixel value having a maximum number of levels from each histogram. When the pixel values extracted in each of the at least two or more video data are within a predetermined range in each of the at least two or more video data, they are selected as representative pixel values. The video editing apparatus according to claim 1, wherein: The representative pixel value includes four or more in each of the at least two or more video data,
3. The video editing according to claim 2, wherein the means for determining the color correction parameter determines a color correction parameter that minimizes a color error using the four or more representative pixel values. apparatus.   The video editing apparatus according to claim 3, wherein the color correction parameters are configured in a format in which individual parameters can be changed by a user. To a computer that functions as a video editing device for color correction of a series of video data required for video editing,
Setting the same subject selected from at least two of the series of video data as color correction targets;
For each of the at least two or more video data, extracting a representative pixel value from an image area within a predetermined range including the subject;
Determining a color correction parameter that minimizes a color error between the representative pixel values in each of the at least two or more video data; and
Correcting all of the at least two or more video data based on the determined color correction parameter;
A video editing program for running.

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