JP2003047029A - Image evaluation method and apparatus using motion vector - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an image evaluation method and an image evaluation apparatus for automatically and accurately detecting the abnormal state of images by detecting the motion vector of an image signal and correcting the motion by using the detected motion vector. SOLUTION: The image evaluation apparatus comprises a vector detection means 14 for detecting a motion vector between the non-delayed signal in a television image signal and a one frame delayed signal, a movement correction means 15 for correcting the motion to an image signal that is delayed by one frame using the detected motion vector, a differential value detection means 16 for calculating the differential value between an image signal that is subjected to motion correction and is delayed by one frame and a non-delayed image signal, and an image evaluation means 17 for obtaining the amount of correlation in the direction of the time axis of an image signal with the level of the differential value and the detected motion vector as parameters, and hence for evaluating the quality of the image. The accuracy in image quality evaluation can be improved by determining whether motion detection is made normally or not by supplying the motion vector detected by the motion vector detection means 14 to the image evaluation means 17.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention detects the magnitude and direction of motion of a moving image in a television signal, that is, a motion vector, and uses this to perform image evaluation of the television signal. The present invention relates to a method and an apparatus.

[0002]

2. Description of the Related Art Motion vectors are used to improve interframe coding efficiency in high-efficiency coding of television signals and to reduce motion discontinuity due to conversion of the number of fields in television conversion. Has been.

A general motion vector detection method is a method of detecting a motion vector for each block after subdividing a television signal into blocks of m pixels × n lines (m and n are integers). The pattern matching method disclosed in JP-A-55-162683 and JP-A-55-162688, and the iterative gradient method described in JP-A-60-158786 are well known. .

On the other hand, in the image evaluation of a transmission system or a video device, when the image is a still image, the evaluation and characteristic test can be performed by using a television signal generator which outputs the still image. However, in the case of moving images, it is difficult to evaluate.
In evaluating a moving image, in order to evaluate the original image X and the processed image Y that has been subjected to some processing, after correcting the time difference between the original image X and the processed image Y, the original image X and the processed image Y are corrected. The difference value of Y is detected, and when the difference value is large, it can be determined that the deterioration has occurred. For example, if the processing system includes an encoding device and a decoding device, and the image signal that has passed through this processing system is evaluated, by detecting the signal difference between the original image X and the processed image Y, It is possible to numerically determine the deterioration in encoding and decoding.

[0005]

However, the above evaluation method requires an original signal and cannot be implemented without this original signal. For example, when a video signal is encoded and transmitted from the point C to the point D and is decoded at the point D, since there is no original image signal at the point D, evaluation by the above method cannot be performed.

Such a situation is not limited to the coded transmission, and is the same in the current analog video transmission.
For this reason, the television image to be broadcast is visually evaluated by an artificial means, and the fact is that the person is always monitoring it. However, there is a problem in that the artificial visual evaluation has variations, and accurate evaluation cannot be performed.

Generally, in a television broadcasting station, when an image is distorted or noise is generated, a viewer may make a complaint, but in order to deal with this, the broadcast signal is always recorded and recorded. The actual situation is that the complaint point is searched for by artificial means from the broadcast signal. However, this method requires a lot of labor, and quick retrieval is difficult and time-consuming.

The object of the present invention is to solve the above-mentioned problems,
In order to eliminate this artificial monitoring and the like, a motion vector is detected, one of the images is subjected to motion correction using the detected motion vector, and this motion-corrected image is compared with the other image. Accordingly, it is an object of the present invention to provide an image evaluation method and device using a motion vector that can automatically detect an abnormal state of an image.

[0009]

In order to achieve the above object, the present invention according to claim 1 detects a motion vector between at least two frames or two fields of a video signal, and detects the detected motion vector. Motion compensation is performed on the video signal of one of the frames or fields by using the difference signal, and a difference value is calculated between the motion compensated video signal and the video signal of the other frame or field. An image evaluation method using a motion vector characterized by detecting a correlation amount in the time axis direction of a video signal using the magnitude of the value and the detected motion vector as parameters, and evaluating the image quality by the correlation amount. .

According to a second aspect of the present invention, it is determined whether or not the motion vector is normally detected, and only when it is determined that the motion vector is normally detected, the video signal of the video signal is detected. The image evaluation method using a motion vector according to claim 1, wherein the image quality is evaluated based on the correlation amount in the time axis direction.

According to a third aspect of the present invention, the motion vector detected for the reference frame or reference field of interest and the frame or field before and / or after the reference frame or reference field are detected. 3. The image evaluation method using a motion vector according to claim 2, wherein the motion vector is determined to be abnormal when the sum of the motion vectors detected for is greater than or equal to a predetermined threshold β close to 0.

The present invention according to claim 4 detects a scene change in the video signal, and when the scene change is detected, the video is abnormal regardless of the correlation amount in the time axis direction of the video signal. Is an image evaluation method using a motion vector according to any one of claims 1 to 3, which is not copied.

According to a fifth aspect of the present invention, the motion vector is detected by detecting the motion vector between a reference field or reference frame of interest and one field or one frame before or after the reference field or reference frame. An image evaluation method using a motion vector according to any one of claims 1 to 4, characterized in that accuracy is improved.

According to a sixth aspect of the present invention, the motion vector is detected by detecting the motion vector between a reference field or reference frame of interest and a plurality of fields or frames before and after the reference field or reference frame. The image evaluation method using a motion vector according to claim 1, wherein accuracy is improved.

According to a seventh aspect of the present invention, the motion correction is detected for the motion vector detected for the reference frame or reference field of interest and the frame or field before or after the reference frame or reference field. The image evaluation method using a motion vector according to any one of claims 1 to 4, wherein the image evaluation method is performed using the motion vector.

The present invention according to claim 8 provides a predetermined concealment value in which the magnitude of the inter-frame difference value or the inter-field difference value of the video signal, which has been subjected to the motion correction using the motion vector, is earlier. An image evaluation method using a motion vector according to any one of claims 1 to 4, wherein it is determined that the image is abnormal when α or more.

According to a ninth aspect of the present invention, the shift amount in the time axis direction of the difference value between frames or the difference value between fields of the video signal, which has been subjected to the motion correction using the motion vector, is a distortion. An image evaluation method using a motion vector according to any one of claims 1 to 4, characterized in that it is judged that the image is abnormal when the value is equal to or larger than a predetermined threshold value γ close to.

According to a tenth aspect of the present invention, a motion vector detecting means for detecting a motion vector between at least two frames or fields of a video signal, and any one of the frames or fields using the detected motion vector. Motion compensation means for compensating the motion of the video signal, and difference value detecting means for calculating a difference value between the motion compensated video signal and the video signal of the other frame or field, and the difference. An image evaluation apparatus using a motion vector, comprising: an image evaluation unit that evaluates image quality based on a magnitude of a value and a correlation amount in the time axis direction of the video signal, which is obtained using the detected motion vector as a parameter. Is.

The present invention according to claim 11 supplies the motion vector detected by the motion vector detecting means also to the image evaluating means to judge whether or not the detection of the motion vector is normally performed, The image evaluation using the motion vector according to claim 10, wherein the image quality evaluation is performed based on the correlation amount of the video signal in the time axis direction only when it is determined that the detection of the motion vector is normally performed. It is a device.

According to a twelfth aspect of the present invention, the motion vector detected by the motion vector detecting means is supplied to the image evaluating means, and when the scene change is judged based on the motion vector, the video signal is detected. 12. The image evaluation apparatus using a motion vector according to claim 10, wherein the image is determined to be not abnormal regardless of the correlation amount in the time axis direction.

[0021]

BEST MODE FOR CARRYING OUT THE INVENTION The present invention will be described in detail based on the illustrated embodiments. FIG. 1 is a block circuit configuration diagram showing a basic configuration of an image evaluation apparatus using a motion vector according to the present invention, and FIG. 2 is an explanatory diagram for explaining its operation. The input image signal F0 is supplied from the input terminal 11, passes through the delay means 12, and is output from the output terminal 13.
For ease of explanation, the input signal is a digitized video signal, and the delay means 12 is a frame memory that delays the video signal by one frame period. The input video signal F0 and the video signal delayed by one frame by the delay unit 12 (the video signal one frame before the input video signal F0) F
1 and 1 are supplied to the motion vector detecting means 14 to detect a motion vector between these video signals. Here, for convenience of description, it is assumed that there is a motion between the input video signal F0 and the video signal F1 delayed by one frame as shown in FIG. Suppose

The video signal F1 delayed by one frame by the delay means 14 is supplied to the motion correction means 15, and the video signal F1 is corrected based on the motion vector detected by the motion vector detection means 14. That is, the moving part in the video signal F1 is returned in the direction of the corresponding moving part in the reference input video signal F0 according to the detected motion vector. The method of detecting the motion vector and the method of correcting the motion have already been announced in various documents and are well known, and therefore detailed description thereof will be omitted. Further, the video signal whose motion has been corrected by the motion correction means 15 is designated as F2.

The reference input video signal F0 and the video signal F2 corrected by the motion correcting means 15 are supplied to the difference value detecting means 16 to detect the difference value between these video signals. This difference value is supplied to the image evaluation means 17, and the image evaluation means 17 uses the magnitude of the detected difference value and the motion vector detected by the motion vector detection means 14 as a parameter to determine the correlation amount in the time axis direction of the video signal. Detect and
The quality of the image is evaluated based on this correlation amount, and the evaluation result is output to the output terminal 18.

The greatest feature of the present invention is to use a motion vector for image evaluation, but the method of detecting a motion vector is not particularly limited. However, due to the nature of performing motion compensation using the detected motion vector, the detection accuracy of the motion vector is important, and the television system is better than the block matching method generally used in high-efficiency coding apparatuses for video signals. The gradient method and the phase correlation method used in the converter are preferable.

In the evaluation of a moving image signal, the method most suitable for determining whether the image is normal or abnormal is a method using image correlation in the time axis direction as in the present invention. As shown in FIG. 2, when an image including a moving object moving in a certain direction is considered, a reference image A (input video signal F0) of interest and an image B (1 The direction and magnitude of motion, that is, the motion vector is detected with respect to the frame-delayed video signal F1), and the image C in which the position of the image B one frame before is corrected is created according to the detected motion vector. When the difference value between the image C and the reference image A is close to the distortion, the reference image A can be determined to be normal. If random noise or distortion occurs in the image, the difference value between the image C and the reference image A becomes a value larger than 0, and the reference image A can be determined to be abnormal.

Further, in the preferred embodiment of the present invention, the image quality evaluation means 17 evaluates the image quality using the motion vector detected by the motion detection means 14. For this purpose, the motion vector detected by the motion vector detecting means 14 is calculated by the image evaluating means 17 as indicated by the broken line in FIG.
Can also be provided and processed as described below.

When detecting the motion vector, the image is divided into a number of blocks and the motion vector is detected for each block. As shown in FIG. 3, the image A of interest
Is used as a reference, and a motion vector detected between a certain block a therein and a corresponding block b of the image B one frame before is used as a motion vector Va of the block a, and the image B one frame before is used as a reference. Then, if the motion vector detected between the block b therein and the corresponding block a of the image A is the motion vector Vb of the block b, Va +
Vb becomes 0 or a value close to 0.

That is, since there is only one movement, when a movement in the left direction is detected when the image B is viewed from the image A, a right movement is detected when the image A is viewed from the image B. Will be detected. Therefore, if β is a threshold value close to 0, it can be assumed that the detection of the motion vector is normal when Va + Vb <β.

On the other hand, in a certain block c on the image B one frame before, the motion vector detected between the corresponding block d of the image A is Vc, and the block d of the image A and the image one frame before When the motion vector detected between B and V is Vd, when Vc + Vd <β, it can be considered that the motion vector is normally detected.

As described above, when it is determined that the motion vector is normally detected, the inter-frame difference value between the blocks a and b is FDab, and the inter-frame difference value between the blocks c and d is the inter-frame difference value. When the difference value is FDcd, α
FDab <α and FDcd <α
If so, the video signal can be determined to be normal, and if not, it can be determined to be abnormal.

Further, if the motion is constant, the inter-frame difference value is constant. Therefore, the displacement amount in the time axis direction of the inter-frame difference value of the motion-corrected video signal is obtained using the motion vector, and this displacement is calculated. When the amount is equal to or larger than the predetermined threshold value γ, it can be determined that the image is abnormal.

However, in such a determination method, when the screen is panned from right to left as shown in FIG. 4, the background area e at the left end of the image A of interest is the image B one frame before. Since it does not exist, the difference value naturally increases, and even if it is normal, it will be erroneously determined to be abnormal. However, since the corresponding left-side background area e exists in the image C one frame later than the image A, a motion vector is detected between the image A and the image C one frame later, and this is used. If the motion correction is performed in this way, the difference value becomes close to 0 even in the background area e at the left end of the screen, and it can be determined that the difference is normal. In this way, the accuracy of the image quality determination can be improved by obtaining the inter-frame difference value using the image A of interest and the images of one frame or one field before and after it.

The largest cause of erroneous detection of a motion vector is when there is no moving image in the target image for motion vector detection. The best example of this is the appearance of a moving background called the uncovered back area.
FIG. 5 shows an image including a moving background called such an uncovered back area.

Although the background area f at the left end of the image A of interest is not included in the image B one frame before,
It is included in the image C after the frame. Therefore, even in the image in which the moving background area f appears, the image A
If a motion vector is detected between the image C and the image C one frame after, and the motion is corrected using this, the difference value becomes close to zero.

In this way, the video signal concerned and 1 more than that
A motion vector is detected between an image signal before a frame and an image signal after a frame, and the position of the image is corrected using the detected motion vector to detect the correlation in the time axis direction in the moving image. Therefore, the normality / abnormality of the image can be accurately detected.

In the above description, one frame or one field before and after the image is used, but a plurality of frames or fields before and after the image can be used.

FIG. 6 is a block circuit diagram showing the configuration of an embodiment of an image evaluation apparatus using a motion vector according to the present invention. The input video signal received at the input terminal 21 is sequentially supplied to the frame memories 22 to 25 to generate a 1-frame delay signal, a 2-frame delay signal, a 3-frame delay signal and a 4-frame delay signal, respectively. These frame memories 22 to 25 may be replaced with field memories. Further, in the present embodiment, the number of frames used is 5 frames including the non-delayed signal, but the number may be more or less than this, but if the number is reduced, the motion vector detection accuracy decreases, If the number is increased, the hardware scale becomes large, so it is preferable to set the number according to the required accuracy.

The input video signal and four video signals obtained by sequentially delaying the input video signal by one frame are used as the motion vector detection circuit 2
6 to 33. Each motion vector detection circuit 26-3
In 3, the input on the left side becomes the reference signal. In the present embodiment, bidirectional detection is performed in order to improve the vector detection accuracy. For example, the non-delayed video signal is supplied as a reference frame to the left input terminal of the first motion vector detection circuit 26, and the video signal delayed by one frame output from the first frame memory 26 is input as the comparison frame on the right side. The video signal delayed by one frame output from the first frame memory 26 is supplied as a reference signal to the input terminal on the left side of the second motion vector detection circuit 27, and the input signal on the right side is not supplied to the input terminal on the right side. The delayed video signal is supplied as a comparison frame, and the motion vector between the non-delayed video signal and the one-frame delayed signal is detected bidirectionally.

In this embodiment, the motion vector is detected bidirectionally in this way, but it may be detected in one direction.
In that case, the number of motion vector detection circuits 26 to 33 is half, that is, four. Further, in the present embodiment, the motion vector detection circuits 26 to 33 are individually provided to facilitate the description. However, after the motion vectors are detected between the sequential video signals, the motion vectors are delayed by one frame. By doing so, it is possible to reduce the number of motion vector detection circuits 26 to 33.

As described above, the motion vector detection circuit 26
The motion vector detected in 33 to
4 to 41. These motion correction circuits 34 to 41
Is also supplied with the video signals used as the reference frame and the comparison frame when detecting the motion vector, and by correcting the video signal of the comparison frame according to the detected motion vector, the moving object in the screen is corrected. Shift the position of. Although motion vector detection is performed in block units, it is desirable that the size of the block for motion correction using the motion vector be smaller than the block size for motion vector detection. For example, it is preferable to perform the former in block units of 8 pixels × 8 lines and the latter in block units of 4 pixels × 1 line.

As described above, the motion correction circuits 34-41.
In the differential circuits 42 to 4, the video signal obtained by correcting the moving object in the video signal of the comparison frame according to the motion vector is displayed.
Supply to 9. The difference circuits 42 to 49 are also supplied with the video signal of the reference frame, and the difference value between the video signal of the reference frame and the motion-corrected video signal of the previous frame, that is, the video signal of the motion-compensated comparison frame. To calculate.

The difference values output from these difference circuits 42 to 49 are supplied to the decision circuit 50. This determination circuit 50
Is also supplied with the motion vector detected by the motion vector detection circuits 26 to 33, and as described above, it is determined whether or not the video signal is normal using these motion vector and difference value. Output to the output terminal 51.

In the above description, the inter-frame video signal is used, but it is also possible to use the inter-field video signal. However, in the case of the interlaced signal, the inter-field difference value can be used even when the inter-field difference value is normal. Since it may become large, it is necessary to deinterlace by interpolation processing.

Although the above method is established in principle, imperfections may actually occur. One of them is a scene change. When this scene change occurs, the correlation in the time axis direction becomes extremely small at that moment, and it becomes impossible to evaluate the image using this. However,
The correlation in the time axis direction between the image after the scene change and the signal after that becomes large. Therefore, even in this case, the scene change can be detected by detecting the displacement amount of the image correlation in the time-axis direction after the motion correction. In this way, accurate image evaluation that is not affected by scene changes is possible.

The next problem is when the motion vector detection itself is erroneously detected. The above method is based on the premise that the motion vector is normally detected, but if this premise is broken, the evaluation cannot be performed. The largest cause of erroneous detection of motion vectors is when there is no moving object in the target image for motion vector detection. The best example of this is the appearance of a background in a moving image called the uncovered back area. However, as described above, by using the frame signals before and after that, even if the motion vector is erroneously detected, it can be corrected.

According to the above-described embodiment, since it is possible to automatically monitor the abnormality of the video signal by a person in the related art, it is necessary to always monitor the broadcast image by a person in a television broadcasting station, for example. Disappears. Also,
It is also possible to automatically record an image once on a disc or VTR and detect an abnormality in the image later on.

Generally, in a television broadcasting station, there is a complaint from the viewer when the image is distorted or noisy, and in order to deal with this, the broadcast image is always recorded, and the complaint is made by an artificial means. Although it is the actual situation of searching for a part, according to the present invention, this search operation can be automatically performed.

Further, if the occurrence state of the image abnormality is added to the search condition, the abnormality state can be searched more accurately. For example, in the case of a line noise-like image, in order to search this image, it is possible to automatically determine whether or not this is line noise by looking at the two-dimensional distribution of the difference values of the motion correction signals. Becomes

By using the motion vector image evaluation method according to the present invention, it is possible to automatically switch between two signal parallel transmission lines without interruption. FIG. 7 shows this block circuit configuration diagram, in which signals of two lines of the input signal 61 and the input signal 62 are compared by the comparison circuit 63, and when the difference value exceeds the threshold value ε, it is determined that there is an abnormality, and Input signal 61, input signal 6
Which of the two is abnormal can be detected by using the image evaluation circuit 64 according to the present invention. If the result is switched by the switching device 65, automatic switching without interruption can be performed, and the switched output signal 66 is taken out.

[0050]

As described above, the image evaluation method and apparatus using the motion vector according to the present invention accurately evaluates an image including a moving object, that is, whether this image is normal or abnormal. can do. A motion vector is detected between signals of several frames, position correction is performed using the detected motion vector, a difference value between the signals is calculated, and the signal is evaluated using the calculated difference value and the motion vector. This makes it possible to evaluate the image. For example, if noise is mixed, the difference value becomes large, and also when the image is distorted, the difference value becomes large. Furthermore, if the motion vector can be detected in real time, the image can be evaluated in real time.

[Brief description of drawings]

FIG. 1 is a basic block circuit configuration diagram of the present embodiment.

FIG. 2 is an explanatory diagram of an image evaluation method.

FIG. 3 is an explanatory diagram of an image evaluation method.

FIG. 4 is an explanatory diagram of an image evaluation method.

FIG. 5 is an explanatory diagram of an image evaluation method.

FIG. 6 is a block circuit configuration diagram of one embodiment.

FIG. 7 is a block circuit configuration diagram of a two-signal parallel transmission line non-interruptible automatic switching device.

[Explanation of symbols]

11 input terminals 12 Delay means 13 output terminals 14 Motion vector detecting means 15 Motion compensation means 16 Difference value detecting means 17,50 Image evaluation means 18 Output terminal of evaluation result 21 Video signal input terminal 22-25 frame memory 26-33 Motion Vector Detection Circuit 34-41 Motion correction circuit 42-49 Difference value detection circuit

Continued front page    F term (reference) 5C059 KK47 MA05 NN01 NN21 NN40                       NN43 PP04 TA00 TB04 TB05                       TC02 TC12 TC14 TD05 TD12                       UA02                 5C061 BB07 CC01 CC03                 5J064 AA03 BA13 BB03 BC08 BC14                       BC29 BD03

Claims (12)

[Claims] 1. A motion vector is detected between at least two frames or two fields of a video signal, and motion compensation is performed on the video signal of either one of the frames or fields using the detected motion vector, A difference value is calculated between the motion-corrected video signal and the video signal of the other frame or field, and the magnitude of the difference value and the detected motion vector are used as parameters in the time axis direction of the video signal. An image evaluation method using a motion vector, characterized in that a correlation amount is detected and the image quality is evaluated based on the correlation amount. 2. It is determined whether or not the motion vector is normally detected, and only when it is determined that the motion vector is normally detected, the correlation amount in the time axis direction of the video signal is determined. The image evaluation method using a motion vector according to claim 1, wherein the image quality is evaluated based on the image quality. 3. The motion vector detected for a reference frame or reference field of interest and the motion vector detected for a frame or field before and / or after the reference frame or reference field. The image evaluation method using a motion vector according to claim 2, wherein when the sum is equal to or larger than a predetermined threshold value β close to 0, it is determined that the image is abnormal. 4. A scene change in the video signal is detected, and when the scene change is detected, the video signal is not regarded as abnormal regardless of the correlation amount in the time axis direction of the video signal. An image evaluation method using the motion vector according to any one of claims 1 to 3. 5. The detection accuracy of the motion vector is improved by detecting the motion vector between a target reference field or reference frame and one field or one frame before and after the reference field or reference frame. An image evaluation method using the motion vector according to any one of claims 1 to 4. 6. The detection accuracy of the motion vector is improved by detecting the motion vector between a reference field or reference frame of interest and a plurality of fields or a plurality of frames before and after the reference field or reference frame. An image evaluation method using the motion vector according to claim 1. 7. The motion correction is performed by using the motion vector detected for a reference frame or reference field of interest and the motion vector detected for a frame or field before or after the reference frame or reference field. An image evaluation method using a motion vector according to claim 1, wherein the image evaluation method is performed. 8. An image when the magnitude of the inter-frame difference value or the inter-field difference value of the video signal, which has been subjected to the motion correction using the motion vector, is equal to or greater than a predetermined threshold value α which is close to the previous value. The image evaluation method using the motion vector according to any one of claims 1 to 4, wherein the image evaluation method determines that the image is abnormal. 9. A shift amount in the time axis direction of a difference value between frames or a difference value between fields of the video signal, which has been subjected to the motion correction using the motion vector, is equal to or more than a predetermined threshold value γ close to distortion. The image evaluation method using the motion vector according to any one of claims 1 to 4, wherein the image evaluation method determines that the image is abnormal. 10. A motion vector detecting means for detecting a motion vector between at least two frames or fields of a video signal, and a motion for the video signal of any one of the frames or fields using the detected motion vector. A motion correction unit that performs a correction, a difference value detection unit that calculates a difference value between the motion-corrected video signal and the video signal of the other frame or field, and the magnitude and detection of the difference value. An image evaluation apparatus using a motion vector, comprising: an image evaluation unit that evaluates image quality based on a correlation amount in the time axis direction of the video signal obtained by using the motion vector as a parameter. 11. The motion vector detected by the motion vector detection means is also supplied to the image evaluation means, and it is determined whether or not the detection of the motion vector is normally performed,
The image evaluation using the motion vector according to claim 10, wherein the image quality evaluation is performed based on the correlation amount of the video signal in the time axis direction only when it is determined that the detection of the motion vector is normally performed. apparatus. 12. A correlation amount in the time axis direction of the video signal when the motion vector detected by the motion vector detection means is supplied to the image evaluation means and a scene change is determined based on the motion vector. 11. It is determined that the video is not abnormal regardless of the above.
Or an image evaluation device using the motion vector described in 11.