JPH0946733A - Automatic video monitoring device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To automatically detect the abnormality of video information components from video signals themselves and to accurately report the generation of the abnormality of the video information components. SOLUTION: Vertical and horizontal synchronizing signals are extracted from input video signals by a synchronization separating circuit 1, the input video signals are converted to digital signals based on the synchronizing signals extracted in the synchronizing separator circuit 1 by an A/D converter 2 and digital video signals outputted from the A/D converter 2 are delayed for two frames, for instance, by a frame memory 3 and inputted to a real time video processing part 4 together with the output of the A/D converter 2. Correlation is obtained for each pixel there, the frequency that a correlation degree becomes higher than a reference value within an optional field period is obtained, the result is sent to a system control part 6 and whether the input video signals are normal or abnormal is decided from the frequency that the frequency becomes more than the stipulated frequency within the fixed period of time.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a video automatic monitor device for detecting an abnormality of a video information component from a video signal itself in a video signal input line or an output line in a broadcasting station, for example.

[0002]

2. Description of the Related Art In recent years, in television broadcasting stations, useful information signals such as a character multiplex signal, a program transmission signal, a VITS signal, etc. are inserted within the vertical blanking period of a video signal. A frame synchronizer is used for synchronization when inserting these information signals and when relaying a program between stations. On the other hand, many V's for broadcasting
TR is used.

By the way, in a television broadcasting station, when transmitting a video signal, the video signal on an input line or an output line is automatically monitored to monitor the occurrence of an abnormality. However, in the monitor device, it is only to detect the presence or absence of synchronization or the level decrease of the synchronization signal by analog detection, and the operator judges the abnormality of the video information component of the video signal from the actual display image under the present circumstances. Is.

Therefore, conventionally, regarding the video information components before and after transmission, an abnormality after the insertion of the above information signal, a failure of the frame synchronizer used for each station, etc. (the sync signal is normal and the video portion is in a frozen state). ), TBC noise transmission due to start control abnormality of VTR for broadcast transmission, and freeze transmission due to abnormal stop of VTR cannot be detected, resulting in operational trouble.

[0005]

As described above, in the conventional abnormality detection system, the presence or absence of synchronization or the level drop of the synchronization signal is simply detected by analog detection of the video signal, and the video information component of the video signal is detected. There was a problem that abnormalities could not be detected.

An object of the present invention is to solve the above-mentioned problems, to automatically detect an abnormality in a video information component, and to accurately notify the occurrence of an abnormality in the video information component. The purpose is to provide a device.

[0007]

SUMMARY OF THE INVENTION An automatic video monitor apparatus according to the present invention which solves the above-mentioned problems is provided in a vertical direction from an input video signal.
A sync separation circuit for extracting a horizontal sync signal, an analog / digital converter for converting the input video signal into a digital signal based on the sync signal extracted by this circuit, and a digital output from the analog / digital converter A frame delay means for delaying a video signal by an arbitrary number of frames, an output of the analog / digital converter and an output of the frame delay means are simultaneously input to obtain a correlation for each pixel, and the correlation is performed within an arbitrary field period. And a determination means for determining whether the input video signal is normal or abnormal based on the number of times the degree becomes higher than a reference value.

Further, the present invention is characterized by further comprising alarm generating means for generating an alarm signal according to the judgment result of the judging means. The determination means determines the detection effective range for each of the current video signal and the delayed video signal, and the difference value between the current frame and the delayed frame for all pixels in the range specified by this means. First comparing means for obtaining the correlation between pixels by determining whether or not this difference value is within the reference range, and the number of times the difference value is within the reference range is obtained for each field from the comparison result of this means. A second comparing means for comparing the number of times with a first reference value, and a number of times the number of times exceeds the reference value by the second comparing means within a certain period, and the number of times is set as a second reference value. It is characterized by further comprising third comparing means for comparing and judging whether the input video signal is normal or abnormal from the comparison result.

In the video automatic monitor device having the above structure,
By taking the difference between arbitrary frames for each pixel and detecting whether or not it is within the reference range, the correlation between arbitrary frames is obtained, and the number of times the degree of correlation becomes higher than the reference value within an arbitrary field period is obtained. The abnormality of the image information component is automatically detected by determining whether the input image signal is normal or abnormal from the number of times.

Further, by inputting the abnormality occurrence information to the alarm output device, the abnormality occurrence of the video information component can be accurately notified. To determine normality / abnormality, specifically, the effective detection range is specified for the current video signal and the delayed video signal, and the difference value between the current frame and the delayed frame is calculated for all pixels in this range. After determining the correlation between pixels by determining whether or not this difference value is within the reference range, the number of times the difference value is outside the reference range is obtained from the comparison result in field units, and the number of times is determined by the first value. The number of times the reference value is exceeded within a certain period of time is calculated by comparing with the reference value, the number of times is compared with the second reference value, and whether the input video signal is normal or abnormal is determined from the comparison result. .

[0011]

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. FIG. 1 shows the configuration of a video automatic monitor apparatus according to the present invention. An input video signal is input to a sync separation circuit 1 and horizontal and vertical sync signals H and V necessary for the system are extracted. Then, n bits (for example, 8 or 12 or 16 bits) by the A / D converter 2
Is converted into a digital signal of, and delayed by several frames in the frame memory 3 (for example, delayed by 2 frames) and input to the real-time image processing unit 4.

The real-time image processing unit 4 shares the data memory 5 with the controller CPU in the system control unit 6, and acquires the setting parameters and the freeze detection area of the screen via the memory. Then, a pipeline type video DSP (digital signal processor) 41 is used to perform pipeline processing for parallel processing processes (1) to (4) for each pixel as shown in FIG.

(1) The current video signal A and the video signal B delayed by n frames (for example, 2 frames) are simultaneously input. (2) The absolute value of the difference between frames | ii-ip | (ii: current video data, ip: video data two frames before) is calculated for each pixel input by sampling.

(3) In order to detect freeze, the absolute difference value is compared with a preset reference value (α value), and when it is equal to or smaller than the α value, that is, when the correlation is high. Sets "1" as a flag.

(4) The flags "1" in the field are sequentially added and accumulated to obtain the total flag of each field. In this manner, by performing the above processing in real time over all the pixels of the detection effective screen area, the total number of flags "1" can be obtained for each field. This total number of flags is passed to the controller CPU of the system control unit 6 during the blanking period, for example.

The system control section 6 is a controller C.
By the processing of the PU, the total number of "1" flags sent from the real-time image processing unit 4 for each field is compared with a preset reference value, and it is determined whether the state is a freeze state or not depending on the magnitude. Then, the determination result for each field is, for example, 1
A majority decision is made every second, and the decision result is sent to the alarm output section 7 to generate an alarm indicating that the freeze state is set.

In the above configuration, a specific processing operation will be described below with reference to FIGS. 3 and 4. Here, as the setting parameter (reference value) stored in the shared memory between the real-time image processing unit 4 and the controller CPU in the system control unit 6, α value: threshold value (detection level value) for the absolute value of inter-frame difference, β value: detection threshold value of the total number of field flags, γ value: time axis majority setting value.

FIG. 3 shows the flow of the freeze detection process in the real-time image processing unit 4. First, the setting parameters are initialized in the shared memory, and the detection effective area Sf, the detection level value αf, and the detection threshold are detected. The read value βf and the time axis set value γf are set, and the count value FR of the freeze detection counter and the count value FRt of the time axis counter are set to "0" (step S31).

Next, a vertical synchronization period (blanking period)
(Step S32), if it is not the vertical synchronization period (N), then it is determined whether it is the horizontal synchronization period (step S33), if it is not the horizontal synchronization period (N), the detection effective area It waits until it enters Sf (step S34), and when it detects that it entered the detection effective area Sf, it takes in a video signal and detects its signal levels ii and ip (step S35).

Here, it is judged whether or not .vertline.ii-ip.vertline. <. Alpha.f (step S36), and if .vertline.ii-ip.vertline. <. Alpha.f (Y), the freeze detection counter count FR is "FR."
+1 "is set (step S37), and step S3
It returns to the process of 2. If | ii-ip | <αf is not satisfied (N), the process directly returns to step S32.

When it is detected in the processing of step S32 that the period is the vertical synchronization period (Y), the count value FR of the freeze detection counter is sent to the system control unit 6, and F
"0" is set in R (step S38), and the process returns to step S32. As a result, the system control unit 6 is provided with the freeze detection count value (the total number of flags) FR for each field.

FIG. 4 shows a flow of time axis processing at the time of freeze detection in the system control section 6, and when the freeze detection count value (total number of flags) FR is given from the real-time video processing section 4 for each field, Interrupt processing is started (step S41), and freeze detection count value F
R is taken in (step S42), and its count value FR
Is compared with the detected threshold value βf (step S
43).

Here, if FR> βf is not satisfied (N), it is left unchanged, and if FR> βf is satisfied (Y), “FRt + 1” is set to the count value FRt of the time axis counter (step S44). Hereinafter, the processes of steps S42 to S44 are repeated until 1 second has elapsed after the interrupt process was activated (step S45).

When 1 second has elapsed, the count value FRt of the time axis counter at that time is compared with the time axis set value γf, and then FRt is set to "0" (step S46).
If FRt> γf, it is determined that (Y) freeze has occurred (step S47), and if FRt> γf is not normal (step S48), the process returns to step S42, and the next one second is measured.

In the above process, the total number of flags "1" for each field (count value FR of freeze detection counter) is proportional to the degree of correlation between frames and is compared with a preset reference value β. This makes it possible to detect whether the input video is a frozen video.

As described above, the total number of flags "1" obtained during one field of the input video signal is compared with the reference value β, and for example, once per field, it is determined whether or not there is a freeze. The determination result once in one field is, for example, a majority determination is made every second on the controller CPU side. That is, the final determination result to be output to the alarm output unit 7 is obtained depending on whether the 60 determination results are larger than the set value γ.

This determination can be made by either the real-time image processing unit 4 or the system control unit 6. In the ideal case, the flags of all pixels in the freeze detection area are set to "1", but in reality, there is an influence of noise such as a cable, and it is necessary to have a certain range of tolerance. The abnormality detection result is sent from the system control unit 6 as a final result, for example, once a second,
It is sent to the alarm output unit 7 and managed in the database.

By the way, a still image of a normal video signal is affected by transmission system noise and has a low degree of correlation, and a freeze abnormality due to a frame synchronizer is not significantly affected by transmission system noise and has a high degree of correlation. With the set value of the reference value β, it is possible to set whether to determine a normal still image or a freeze. Further, by changing the set value of the reference value β, it is of course possible to detect a normal still image.

Further, for example, by setting still image detection and setting the γ value to “59”, the still image detection condition is 59/60 <((total number of still image detection) / (1
The total number of fields per second)). Therefore, when a still image scene change occurs, the moving image is detected once or more, and the still image scene change can be detected.
Therefore, if the count value of each counter is reset when the scene change is detected, it is possible to prevent the still image detection accuracy from being lowered due to the scene change. Summarizing the above processes, the still image detection condition according to this method is as shown in the following equation.

[0030]

[Equation 1]

Therefore, the video automatic monitor device according to the present invention can detect freezes and still images, and judge pixel by pixel (phase 0), field unit (phase 1), and time axis (phase 2). ) And the detection are set for each phase, it is easy to extract features for various input materials.

Although not described in detail, the video abnormal pattern or V
Of course, the present invention can be applied to the abnormality detection of the standby state of the TR (a band-shaped black pattern appears) and the detection of the color bar signal.

[0033]

As described above, according to the present invention, the abnormality of the image information component can be automatically detected from the image signal itself, and the abnormality occurrence of the image information component can be accurately notified. It is possible to provide an automatic video monitor.

[Brief description of drawings]

FIG. 1 is a block circuit diagram showing the configuration of an embodiment of a video automatic monitor device according to the present invention.

FIG. 2 is a diagram for explaining pipeline processing in a real-time image processing unit according to the embodiment shown in FIG.

FIG. 3 is a flowchart showing the flow of freeze detection processing in the real-time image processing unit of the embodiment shown in FIG.

FIG. 4 is a flowchart showing the flow of freeze detection processing in the system control unit of the embodiment shown in FIG.

[Explanation of symbols]

 1 ... Sync separation circuit 2 ... A / D converter 3 ... Frame memory 4 ... Real-time image processing unit 41 ... Video DSP (digital signal processor) 5 ... Data memory 6 ... System control unit 7 ... Alarm output unit

 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Inventor Yushi Sano 1 Komukai-Toshiba-cho, Sachi-ku, Kawasaki-shi, Kanagawa Toshiba Komukai factory (72) Inventor Taro Asano Komukai-Toshiba, Kawasaki-shi, Kanagawa Town No. 1 Incorporation company Toshiba Komukai factory

Claims (5)

[Claims] 1. A frame delay means for delaying a digital video signal by an arbitrary number of frames, and an output of the analog / digital converter and an output of the frame delay means are simultaneously inputted to obtain a correlation for each pixel, The automatic video monitoring apparatus, further comprising: a determination unit that determines the number of times the degree of correlation becomes higher than a reference value within the field period and determines whether the input video signal is normal or abnormal based on the number of times. 2. The automatic image monitoring apparatus according to claim 1, further comprising alarm generating means for generating an alarm signal in accordance with the determination result of said determining means. 3. The determining means includes range specifying means for specifying a detection effective range for each of the current video signal and the delayed video signal, and a current frame and a delayed frame for all pixels in the range specified by this means. And a first comparing means for obtaining the correlation between pixels by determining whether or not the difference value is within the reference range, and the number of times the difference value falls within the reference range from the comparison result of this means. Is calculated in field units, the number of times is compared with a first reference value by a second comparing means, and the number of times the number of times exceeds the reference value is obtained by the second comparing means within a certain period, and the number of times is 2. The automatic image monitoring apparatus according to claim 1, further comprising a third comparing unit that compares the input value with the reference value of 2 and determines whether the input image signal is normal or abnormal based on the comparison result. 4. A sync separation circuit for extracting vertical and horizontal sync signals from the input video signal when the input video signal is an analog signal, and the input video signal is a digital signal based on the sync signal extracted by this circuit. The video automatic monitor device according to claim 1, further comprising: an analog / digital converter for converting the video into an analog / digital converter. 5. A scene change detecting means for detecting a still picture scene change of the video signal, and a reset processing means for resetting the processing of the judging means when a still picture scene change is detected by the means. The video automatic monitor device according to claim 1.