JP4272552B2 - Image abnormality detection device, method and program thereof, and image reproduction device, method and program thereof - Google Patents

Description

  The present invention relates to a video anomaly detection device that detects an anomaly in the content of a received video transmitted from a broadcast station, a method and a program thereof, and a video reproduction device, a method and a program thereof.

  Digital terrestrial broadcasting employs a modulation system consisting of multiple carriers called OFDM (Orthogonal Frequency Division Multiplexing), so stable video, audio, and data broadcasting can be performed even in a moving vehicle or behind a building. There is great expectation as an enjoyable broadcasting format.

  In this terrestrial digital broadcast, radio waves propagate from a broadcast station to a relay broadcast station and from the relay broadcast station to each home. When radio waves are propagated from a broadcast station to a relay broadcast station and when radio waves are propagated from a relay broadcast station to each home, information is not transmitted 100% due to interference or a decrease in electric field. Anomalies may occur in the content of the video.

  In order to monitor whether or not there is an abnormality in the content of the received video, the conventional first method is to thin out the video propagated from the broadcast station to the relay broadcast station, each home, etc. There is a method of monitoring whether there is an abnormality in the content of the received video propagated to the relay broadcast station or each home by transmitting the video via a communication line.

  In addition, as a second conventional method, a relay station broadcasts an image transmitted from a broadcast station to a relay station or each home via a communication line without being thinned out. There is also a method of monitoring whether there is an abnormality in the content of the received video transmitted to a place or home.

  In addition, as a conventional third method, it is possible to go to a relay broadcast station or each home, and watch the video actually displayed on the television at the relay broadcast station or each home, thereby to There is a method for monitoring whether or not an abnormality has occurred in the content of the received video propagated to.

  However, in the first conventional method, since the thinned video is monitored, detailed monitoring is impossible. When there is an abnormality in the thinned video, it is confirmed that there is an abnormality in the content of the received video. There was a problem of overlooking.

  Further, in the conventional second method, since the video is not thinned out as in the conventional first method, the problem does not occur as in the conventional first method, but from the broadcasting station to the relay broadcast station and each household. Since the same amount of information as the information propagated to the relay station must be transmitted from the broadcast station or each household to the broadcast station via the communication line, it is equivalent to the transmission path from the broadcast station to the relay station or each home. There was a problem of having to secure a transmission line in the wide band.

  In addition, in the conventional third method, it is necessary to go to a relay broadcast station or each home, and to watch the video actually displayed on the television at the relay broadcast station or each home, which is time consuming and troublesome. there were.

In order to solve the above-mentioned problem, as a conventional fourth method, whether the radio wave from the broadcasting station to the relay broadcasting station, each home, etc. is normally received from the broadcasting station, such as the deterioration rate of the error rate of the demodulated signal and noise. There is a method in which the radio wave condition is accurately grasped and monitored by constantly monitoring and analyzing the obtained data (for example, see Non-Patent Document 1).
In addition, this method can transmit various data in real time to a personal computer such as a broadcasting station using wireless packet communication (cellular phone), so that radio wave abnormalities can be accurately grasped by remote monitoring.

Further, as an additional function, an AC (Auxiliary Channel, transmission path provided for broadcasting station) demodulation function is built in, and a constellation can be output for troubleshooting. Here, the constellation is each symbol data mapped to the XY plane when demodulating the received radio wave, and the reception status can be grasped by its arrangement.
NHK INFORMATION "Technical Information", October 20, 2003, [Search January 15, 2004], Internet <URL: http://www.nhk.or.jp/pr/marukaji/m-giju095. html>

  However, the conventional fourth method is to quantitatively monitor whether the radio wave condition from the broadcasting station to the broadcasting relay station and each home is maintained in an appropriate state, and the content of the received video is abnormal. It is not possible to monitor whether there is any.

  In view of the above problems, the present invention does not overlook the abnormality of the content of the received video, does not require a wide-band transmission path, does not take time and effort, and the content of the received video at a broadcast relay station or each home An object of the present invention is to provide a video anomaly detection apparatus, method and program thereof, and video reproduction apparatus, method and program thereof that can monitor whether or not there is an abnormality.

  The invention according to claim 1 transmits a broadcast video encoded in units of images including a motion vector from a broadcast station via a broadcast wave, and when the reception device receives the received video as a received video, A video anomaly detection device for detecting an abnormality in the content of the received video, the first motion vector extracting means for extracting the first motion vector from the image constituting the broadcast video, and the image constituting the received video by the receiving device The second motion vector acquisition means for acquiring the extracted second motion vector via a communication line and the first motion vector and the second motion vector are compared in units of images, thereby detecting an abnormality in the content of the received video. Motion vector comparison means.

The video abnormality detection device compares the first motion vector with the second motion vector corresponding to the first motion vector by the motion vector comparison means, and the second motion vector corresponding to the first motion vector is When the first motion vector is different from the first motion vector or when the second motion vector corresponding to the first motion vector does not exist, it is considered that the content of the received video is abnormal.
Here, the motion vector is the amount of movement of the comparison block in the reference screen, and this amount of movement is expressed in magnitude and direction. In addition to the case where the video abnormality detection device is installed in the broadcasting station, the case where it is installed outside the broadcasting station is also included.

  According to the second aspect of the present invention, when a broadcast video encoded in units of images including a motion vector is transmitted from a broadcast station via a broadcast wave, the reception device receives the received video as a received video. A video anomaly detection method for detecting an abnormal content in a broadcast station, wherein a first motion vector extracted from an image constituting a broadcast video at a broadcast station and an image constituting a received video at a receiving device are broadcast. An abnormality of the content of the received video is detected by comparing the second motion vector acquired via the communication line in the station in units of images.

  According to such a video abnormality detection method, the first motion vector is compared with the second motion vector corresponding to the first motion vector, and the second motion vector corresponding to the first motion vector is determined as the first motion vector. If it is different from the vector, or if there is no second motion vector corresponding to the first motion vector, it is considered that the content of the received video is abnormal.

  The invention according to claim 3 transmits a broadcast video encoded in units of images including a motion vector from a broadcast station via a broadcast wave, and when the reception device receives the received video as a received video, In order to detect an abnormality in the content of the received video, the computer uses first motion vector extraction means for extracting the first motion vector from the image constituting the broadcast video, and the first extracted from the image constituting the received video by the receiving device. A second motion vector acquisition means for acquiring two motion vectors via a communication line; a motion vector comparison for detecting an abnormality in the content of the received video by comparing the first motion vector and the second motion vector in units of images; It was set as the structure made to function as a means.

  According to the video abnormality detection program, the first motion vector extracted by the first motion vector extraction unit and the second motion vector corresponding to the first motion vector are compared by the motion vector comparison unit, and the first motion vector is detected. If the second motion vector corresponding to the vector is different from the first motion vector, or if the second motion vector corresponding to the first motion vector does not exist, it is considered that the content of the received video is abnormal. It is.

  The invention according to claim 4 transmits a broadcast video encoded in units of images including a motion vector via a broadcast wave from a broadcast station, and when the reception device receives the received video as a received video, In order to detect an abnormality in the content of the received video, a video reproduction device for reproducing the received video, first motion vector position detecting means for detecting the position of the first motion vector from an image constituting the broadcast video; The second motion vector acquisition means for acquiring the second motion vector extracted from the image constituting the received video by the receiving device via the communication line, and the position of the first motion vector detected by the position detection means at the image unit The received motion picture decoding means replaces the first motion vector with the second motion vector and decodes the broadcast video as the received video.

  According to such a video reproduction device, the first motion vector is acquired by the second motion vector acquisition means at the position of the first motion vector in the image constituting the broadcast video detected by the first motion vector position detection means. The received motion image is reproduced by substituting the second motion vector, and the content of the image constituting the broadcast video is compared with the image constituting the broadcast video by comparing the content of the image constituting the reproduced video. If there is a difference between the images constituting the received video, it is considered that there is an abnormality in the contents of the images constituting the received video.

  The invention according to claim 5 transmits a broadcast video encoded in units of images including a motion vector from a broadcast station via a broadcast wave, and when the reception device receives the received video as a received video, A video reproduction method for reproducing the received video in order to detect an abnormality of the received video, wherein a first motion vector detected from an image constituting the broadcast video at the broadcasting station is configured at the receiving device. The received video is reproduced by replacing the second motion vector extracted from the image and acquired by the broadcast station via the communication line.

  According to this video reproduction method, the first motion vector is replaced with the second motion vector, and the image constituting the broadcast video and the reception of the broadcast video reproduced by replacing the first motion vector with the second motion vector. Compare the contents of the images that make up the video, and if there is a difference between the contents of the images that make up the broadcast video and the images that make up this reproduced received video, the contents of the images that make up the received video Is considered abnormal.

  The invention according to claim 6 is a video reproduction program that transmits a broadcast video encoded in units of images including a motion vector from a broadcast station via a broadcast wave, and the reception device receives the received video as a received video. In order to reproduce the received video at the broadcast station and detect an abnormality in the content of the image constituting the received video at the broadcast station, the computer moves the first motion from the image constituting the broadcast video. First motion vector position detecting means for detecting the position of the vector, second motion vector acquiring means for acquiring the second motion vector extracted from the image constituting the received video by the receiving device via the communication line, and position detecting means At the detected position of the first motion vector, the first motion vector is replaced with the second motion vector for each image, and the received video is decoded as the received video. And configured to function as a decoding means.

  According to such a video reproduction program, the first motion vector is acquired by the second motion vector acquisition means at the position of the first motion vector in the image constituting the broadcast video detected by the first motion vector position detection means. The received video is reproduced by substituting the second motion vector, and the contents of the image constituting the broadcast video are compared with the image constituting the broadcast video by comparing the contents of the image constituting the reproduced video. If there is a difference in the images constituting the received video, it is considered that there is an abnormality in the contents of the images constituting the received video.

  According to the present invention, the content of the received video is not overlooked, does not require a wide-band transmission line, takes less time and effort, and is abnormal in the content of the received video at a broadcast relay station or each home. Whether or not can be monitored.

[First Embodiment]
First, an image abnormality detection system according to a first embodiment will be described with reference to the drawings. Here, FIG. 1 is a block diagram showing a video anomaly detection system according to the present invention. As shown in FIG. 1, the video abnormality detection system A includes a broadcast station 1, a broadcast relay station 2, the Internet 3, video encoding means 70, and a receiver 80. Also, the broadcast relay station 2 receives the broadcast wave transmitted from the broadcast station 1 and transmits it to the receiver 80. In addition, the viewer 80 can enjoy the video by receiving the broadcast wave transmitted from the receiver 80. The broadcast station 1 and the broadcast relay station 2 are connected via the Internet 3 or the like.

  The broadcast station 1 includes a video storage unit 10, a broadcast transmission device 20, and a video abnormality detection device 30. The video storage means 10 stores the bit stream generated by the video encoding means 70 described later. The video storage means 10 is a unit that reads a stored bit stream by the broadcast transmission device 20, and a unit that reads a stored bit stream by the video abnormality detection device 30.

  The broadcast transmission device 20 transmits a bit stream read from the video storage means 10 to the broadcast relay device 50 of the broadcast relay station 2 via a broadcast wave.

  Next, the video encoding means 70 will be described with reference to the drawings. FIG. 2 to be referred to is a block diagram showing video encoding means according to the present invention.

  As shown in FIG. 2, the video encoding unit 70 encodes video, and includes a frame memory 71, a motion compensation prediction unit 72, a first calculation unit 73, a DCT unit 74, a quantization unit 75, and an inverse. A quantization unit 76, an inverse DCT unit 77, a second calculation unit 78, and a block information generation unit 79 are provided.

The frame memory 71 stores the image (frame) decoded by the second calculation unit 78 as a reference image when the next image is encoded. The reference image stored in the frame memory 71 is referred to by the motion compensation prediction unit 72. Note that the reference image stored in the frame memory 71 is a block image that the second arithmetic unit 78 decodes for each block and is created as one image. When the current image is encoded, the previous image is used as a reference image.
Here, the reference image is an image that is referred to when an image is encoded, and is an image immediately before the image to be encoded.

  The motion compensation prediction unit 72 is based on the input image and the reference image stored in the frame memory 71, and the direction and magnitude of motion prediction for each block indicating how much the input image has moved relative to the reference image. That is, motion compensation information including the motion vector and the type of block prediction (intra block, unidirectional prediction block, bidirectional prediction block, etc.) is generated.

  In addition, the motion compensation prediction unit 72 is predicted based on the generated motion vector from a reference image (for example, the previous image) stored in the frame memory 71 and predicted to have moved by this motion vector. Is generated. The motion compensation information generated here is output to the first calculation unit 73, the second calculation unit 78, and the block information generation unit 79, and the predicted image is output to the first calculation unit 73 and the second calculation unit 78. The

  The first calculation unit 73 generates a prediction error image obtained by taking a difference between the image input to the video encoding unit 70 and the prediction image generated by the motion compensation prediction unit 72. The prediction error image is output to the DCT unit 74. Note that the first calculation unit 73 does not perform calculation when the block prediction type (motion compensation information) output from the motion compensation prediction unit 72 is an intra block, and calculates the input image as a block unit. And output to the DCT unit 74 as it is.

  The DCT unit 74 performs a discrete cosine transform (hereinafter referred to as “DCT”) on the video to generate a DCT coefficient indicating the magnitude of the frequency component. The DCT unit 74 outputs the DCT coefficient to the quantization unit 75.

  The quantization unit 75 quantizes the DCT coefficient to reduce the code amount. The quantization unit 75 performs quantization based on a quantization table set in advance so as to greatly reduce high-frequency components having low visual sensitivity in the DCT coefficients. The quantization unit 75 outputs the quantized DCT coefficient to the inverse quantization unit 76 and the block information generation unit 79.

  The inverse quantization unit 76 inversely quantizes the quantized DCT coefficient to obtain a DCT coefficient. The inverse quantization unit 76 outputs the DCT coefficient to the inverse DCT unit 77. The inverse DCT unit 77 performs inverse discrete cosine transform (hereinafter referred to as “inverse DCT”) on the DCT coefficient to obtain pixel space data. The inverse DCT unit 77 outputs the pixel space data to the second calculation unit 78.

  The second calculation unit 78 generates a prediction error image that is a difference between the pixel space data output from the inverse DCT unit 77 and the prediction image generated by the motion compensation prediction unit 72. The prediction error image is output to the frame memory 71. Note that the second calculation unit 78 does not perform calculation when the block prediction type (motion compensation information) output from the motion compensation prediction unit 72 is an intra block, and calculates the input image as a block unit. And output to the frame memory 71 as it is.

  The block information generation unit 79 is a DCT coefficient quantized by the quantization unit 75 (hereinafter referred to as “quantized DCT coefficient”), motion compensation information generated by the motion compensation prediction unit 72, and header information (for example, in MPEG-2). A bit stream composed of a sequence header). The block information generation unit 79 transmits the generated bit stream to the video storage unit 10 of the broadcast station 1.

  Returning to FIG. 1, the description will be continued. The video anomaly detection device 30 is a device that detects an anomaly of the received video that is transmitted by the broadcast transmission device 20 via a broadcast wave and received by the broadcast relay device 50 of the broadcast relay station 2, and is a first motion vector extraction. It comprises means 31, image comparison means 32, and second motion vector input means (second motion vector acquisition means) 33.

  The first motion vector extraction unit 31 reads the bit stream stored in the video storage unit 10 and extracts the first motion vector from the read bit stream. The first motion vector extraction means 31 outputs the extracted first motion vector to the synchronization means 32a of the video comparison means 32.

  The video comparison means 32 compares the image constituting the video stored in the video storage means 10 with the image corresponding to the image constituting the video and constituting the video received by the broadcast relay device 50. In order to detect whether the content of the received video received by the broadcast relay device 50 is normal, the broadcast relay device 50 includes synchronization means 32a and motion vector comparison means 32b.

  The synchronization unit 32a synchronizes the first motion vector output from the first motion vector extraction unit 31 and the second motion vector corresponding to the first motion vector transmitted from the second motion vector input unit 33. To do. The synchronizing means 32a outputs the synchronized first motion vector and second motion vector to the motion vector comparing means 32b. For example, the synchronization is performed by a SYN transmission method (frame synchronous communication) or a frame synchronization communication (frame synchronous communication).

  Here, the second motion vector corresponding to the first motion vector is the second motion vector that is the same as the first motion vector when there is no abnormality in the content of the image constituting the received video received by the broadcast relay device 50. Say.

  The motion vector comparison unit 32b compares the synchronized first motion vector and the second motion vector output from the synchronization unit 32a to obtain the content of the image constituting the received video received by the broadcast relay device 50. This is to detect whether there is an abnormality.

  Specifically, the motion vector comparison unit 32b includes the first motion vector extracted by the first motion vector extraction unit 31 and the second motion corresponding to the first motion vector extracted by the second motion vector extraction device 60. If there is no difference between the first motion vector and the second motion vector when the vectors are compared, it is considered that there is no abnormality in the content of the image constituting the received video received by the broadcast relay device 50. . Then, the motion vector comparison unit 32 b outputs data indicating that there is no abnormality in the content of the received video received by the broadcast relay device 50 to the comparison result display unit 40.

  On the other hand, when there is a difference between the first motion vector and the second motion vector, it is considered that the content of the image constituting the received video received by the broadcast relay device 50 is abnormal. That is, it is considered that there is an abnormality in the received video that is formed by the abnormal image. Further, when there is no second motion vector corresponding to the first motion vector, it is considered that there is an abnormality in the content of the image constituting the received video received by the broadcast relay device 50. That is, it is considered that there is an abnormality in the content of the received video that constitutes an abnormal image. Then, the motion vector comparison unit 32 b outputs data indicating that the content of the received video received by the broadcast relay device 50 is abnormal to the comparison result display unit 40.

  The second motion vector input means 33 receives the second motion vector extracted by the second motion vector extraction device 60 and transmitted via the Internet 3. The second motion vector input means 33 transmits the received second motion vector to the synchronization means 32a of the video comparison means 32.

  The comparison result display means 40 indicates that there is no abnormality in the content of the received video based on data indicating that there is no abnormality in the content of the received video or data indicating that there is an abnormality in the content of the received video. Or, a message indicating that there is an abnormality in the content of the received video is displayed. The comparison result display means 40 is, for example, a liquid crystal display or a plasma display.

The broadcast relay station 2 receives a bit stream transmitted from the broadcast transmission device 20 of the broadcast station 1 and transmits the received bit stream to the receiver 80. Also, the broadcast relay station 2 transmits the received bit stream from the broadcast transmission device 20. The second motion vector is extracted from the bit stream, and includes the broadcast relay device 50 and the second motion vector extraction device 60.
The broadcast relay device 50 and the second motion vector extraction device 60 correspond to the receiving device described in the claims.

  The broadcast relay device 50 receives the bit stream transmitted from the broadcast transmission device 20 of the broadcast station 1 and transmits the received bit stream to the receiver 80. The broadcast relay apparatus 50 outputs the received bit stream to the second motion vector extraction apparatus 60.

The second motion vector extraction device 60 extracts a second motion vector from the bit stream output from the broadcast relay device 50. Also, the extracted second motion vector is transmitted to the second motion vector input means 33 of the video abnormality detection device 30 via the Internet 3.
The receiver 80 receives a bit stream transmitted from the broadcast relay station 2.

Next, a video abnormality detection method according to the present embodiment will be described with reference to the drawings. FIG. 3 to be referred to is a flowchart showing a video abnormality detection method according to the present invention. Reference is made to FIG. 1 as appropriate.
As shown in FIG. 3, the broadcast transmission apparatus 20 reads the bit stream stored in the video storage means 10, and transmits the read bit stream to the broadcast relay apparatus 50 of the broadcast relay station 2 (step S11).

Next, the broadcast relay device 50 receives the bit stream transmitted from the broadcast transmission device 20 (step S12).
Next, the broadcast relay device 50 outputs the received bit stream to the second motion vector extraction device 60.
Next, the first motion vector extraction unit 31 reads the bit stream stored in the video storage unit 10, and extracts the first motion vector from the read bit stream (step S13).

Further, the first motion vector extracted by the first motion vector extraction unit 31 is output to the synchronization unit 32 a of the video comparison unit 32.
Next, the second motion vector extraction device 60 extracts a second motion vector from the bit stream output from the broadcast relay device 50 (step S14).

Further, the second motion vector extracting device 60 transmits the extracted second motion vector to the second motion vector input means 33 via the Internet 3 (step S15).
The second motion vector input means 33 receives the second motion vector transmitted from the second motion vector extraction device 60 (step S16).
Next, the second motion vector input means 33 outputs the received second motion vector to the synchronization means 32 a of the video abnormality detection device 30.

Next, the synchronization unit 32a synchronizes the first motion vector output from the first motion vector extraction unit 31 and the second motion vector output from the second motion vector input unit 33 (step S17).
Further, the synchronization unit 32a outputs the synchronized first motion vector and second motion vector to the motion vector comparison unit 32b.

  Next, the motion vector comparison unit 32b determines whether there is a second motion vector corresponding to the first motion vector (step S18). If there is no second motion vector corresponding to the first motion vector (No in step S18), the content of the image constituting the received video transmitted from the broadcast transmission device 20 and received by the broadcast relay device 50 is added. The motion vector comparison unit 32b outputs data indicating that the content of the received video is abnormal to the comparison result display unit 40 (step S19). Then, the comparison result display means 40 displays that there is an abnormality in the content of the received video.

When there is a second motion vector corresponding to the first motion vector (Yes in step S18), the motion vector comparison unit 32b has the same second motion vector corresponding to the first motion vector and the first motion vector. Whether or not (step S20).
If the first motion vector and the second motion vector corresponding to the first motion vector are not the same (No in step S20), the received video transmitted from the broadcast transmission device 20 and received by the broadcast relay device 50 is configured. The motion vector comparison unit 32b outputs data indicating that the content of the received video is abnormal to the comparison result display unit 40 (step S21). Then, the comparison result display means 40 displays that there is an abnormality in the content of the received video.

If the first motion vector and the second motion vector corresponding to the first motion vector are the same (Yes in step S20), it is determined whether the motion vector comparison unit 32b has checked all the first motion vectors ( Step S22).
If all the first motion vectors have not been checked (No in step S22), the process returns to step S13 to continue the process.

If all the first motion vectors have been checked (Yes in step S22), it is determined whether all the images have been checked (step S23).
If all the images have not been checked (No in step S23), the process returns to step S13 to continue the processing.
When all the images have been examined (Yes in step S21), data indicating that there is no abnormality in the content of the received video is output to the comparison result display means 40 (step S24). Then, the comparison result display means 40 displays that there is no abnormality in the content of the received video and ends the processing.

  Moreover, the function of each component in the video abnormality detection device 30 is realized by a CPU (not shown) performing arithmetic processing based on a program (video abnormality detection program) stored in a storage means (not shown).

  In the present embodiment, the extraction of the first motion vector is performed prior to the extraction of the second motion vector, but the extraction of the second motion vector precedes the extraction of the first motion vector. Also good. Further, the extraction of the first motion vector and the extraction of the second motion vector may be performed simultaneously. Moreover, although the video abnormality detection device 30 and the comparison result display means 40 are installed in the broadcasting station 1, they may be outside the broadcasting station 1.

In the present embodiment, the second motion vector extraction device 60 is installed in the relay broadcast station 2, but may be installed in a place other than the relay broadcast station 2, such as a home, an accommodation facility, a restaurant, and the like. .
In the present embodiment, the video abnormality detection device 30 is realized by one computer, but may be realized by a plurality of computers.

  According to the first embodiment, an abnormality in the content of the received video is not overlooked, a wide-band transmission path is not required, and labor and time are not required, and the content of the received video in the broadcast relay station 2 is abnormal. Whether or not can be monitored.

[Second Embodiment]
Next, a second embodiment will be described with reference to the drawings. FIG. 4 to be referred to is a block diagram showing a video anomaly detection system according to the present invention. In addition, about the structure same as 1st Embodiment, the same code | symbol is attached | subjected and the description is abbreviate | omitted. As shown in FIG. 4, the video abnormality detection system B includes a broadcasting station 1 </ b> A, a broadcast relay station 2, video encoding means 70, and a receiver 80. The broadcast station 1A includes a video storage unit 10, a broadcast transmission device 20, a video reproduction device 30A, and an original image decoding device 30B.

  The video reproduction device 30A is a device that reproduces the received video transmitted by the broadcast transmission device 20 and received by the broadcast relay device 50 of the broadcast relay station 2 at the broadcast station 1, and includes a comparison image decoding unit 32A and a second motion. It comprises vector input means (second motion vector acquisition means) 33 and video input means 34.

  The comparison image decoding unit 32A is an image (comparison image) obtained by replacing the first motion vector belonging to the image with the second motion vector corresponding to the first motion vector for the image stored in the video storage unit 10. The decoding unit includes a synchronization unit 32a and a motion vector conversion unit 32c.

  As shown in FIG. 5, the motion vector conversion unit 32c includes a block information analysis unit (first motion vector position detection unit) 321, a motion vector replacement unit 322, an inverse quantization unit 323, an inverse DCT unit 324, a frame memory 325, A motion compensation unit 326 and a calculation unit 327 are provided. FIG. 5 referred to here is a block diagram showing the motion vector converting means according to the present invention. Note that the motion vector replacement unit 322, the inverse quantization unit 323, the inverse DCT unit 324, the frame memory 325, the motion compensation unit 326, and the calculation unit 327 correspond to the received video decoding means described in the claims.

  The block information analysis unit 321 analyzes the block information of the bit stream output from the synchronization unit 32a (see FIG. 4), is quantized with motion compensation information of the block including data indicating the position of the first motion vector. DCT coefficients (quantized DCT coefficients) are extracted. Also, the extracted motion compensation information is output to the motion vector replacement unit 322, and the extracted quantized DCT coefficient is output to the inverse quantization unit 323.

  The motion vector replacement unit 322 synchronizes the first motion vector with the synchronization unit 32a (see FIG. 4) based on the data indicating the position of the first motion vector included in the motion compensation information output from the block information analysis unit 321. Is replaced with the second motion vector output from the. The motion vector replacement unit 322 outputs motion compensation information obtained by replacing the first motion vector with the second motion vector to the motion compensation unit 326.

  The inverse quantization unit 323 performs inverse quantization on the quantized DCT coefficient output from the block information analysis unit 321 to obtain a DCT coefficient. The inverse quantization unit 323 outputs the DCT coefficient obtained by inverse quantization to the inverse DCT unit 324.

  The inverse DCT unit 324 converts the DCT coefficient output from the inverse quantization unit 323 into inverse DCT to obtain pixel space data. The inverse DCT unit 324 outputs pixel space data obtained by inverse DCT to the arithmetic unit 327.

  The frame memory 325 stores the image decoded by the calculation unit 327 as a reference image when the next image is encoded. The reference image stored in the frame memory 325 is referred to by the motion compensation unit 326.

  The motion compensation unit 326, based on the motion compensation information obtained by replacing the first motion vector output from the motion vector replacement unit 322 with the second motion vector, the reference image (the previous image) stored in the frame memory 325. ) To generate a predicted image predicted to have moved by the second motion vector. The predicted image is output to the calculation unit 327.

The computing unit 327 computes the pixel space data output from the inverse DCT unit 324 and the predicted image output from the motion compensation unit 326, decodes the comparison image, and outputs the decoded comparison image to the second video display unit. 90b (see FIG. 4).
As shown in FIG. 4, the video input unit 34 reads a bit stream from the video storage unit 10, and transmits the read bit stream to the synchronization unit 32a of the comparison image decoding unit 32A.

The original image decoding device 30B decodes an original image from a bit stream, and includes a video input unit 35 and an original image decoding unit 36.
The video input means 35 reads the bit stream stored in the video storage means 10 and outputs the read bit stream to the original image decoding means 36.
Next, the original image decoding unit 36 will be described with reference to the drawings. FIG. 6 referred to here is a block diagram showing the original image decoding means according to the present invention. Note that the same components as those of the motion vector converting unit 32c (see FIG. 4) are denoted by the same reference numerals and description thereof is omitted.

  As shown in FIG. 6, the original image decoding unit 36 decodes a broadcast video (original image) from the bit stream output from the video input unit 35 (see FIG. 4), and includes a block information analysis unit 321, An inverse quantization unit 323, an inverse DCT unit 324, a frame memory 325, a motion compensation unit 326A, and a calculation unit 327A are provided.

The motion compensation unit 326A generates a predicted image predicted to have moved by the first motion vector from the reference image stored in the frame memory 325 based on the motion compensation information output from the block information analysis unit 321. It is. The motion compensation unit 326A outputs the predicted image to the calculation unit 327A.
The computing unit 327A computes the pixel space data output from the inverse DCT unit 324 and the predicted image output from the motion compensation unit 326A to decode the original image, and the decoded original image is a first video display unit. 90a (see FIG. 4).

As shown in FIG. 4, the first video display means 90a displays the original image transmitted from the calculation unit 327A (see FIG. 6) of the original image decoding means 36, and is a liquid crystal display, a plasma display, or the like. .
The second video display means 90b displays a comparative image transmitted from the calculation unit 327 (see FIG. 5) of the motion vector conversion means 32c, and is a liquid crystal display, a plasma display, or the like.

Next, a comparison image generation method according to the second embodiment will be described with reference to the drawings. FIG. 7 to be referred to is a flowchart showing a method of decoding a comparison image according to the present invention. Note that FIG. 4 and FIG. 5 are referred to as appropriate. Further, the same steps as those in the video abnormality detection method of the first embodiment are denoted by the same reference numerals, and the description thereof is omitted.
As shown in FIG. 7, the second motion vector extraction device 60 extracts the second motion vector from the bit stream received by the broadcast relay device 50 and output to the second motion vector extraction device 60 (step S31).

Further, the second motion vector extracting device 60 transmits the extracted second motion vector to the second motion vector input means 33 via the Internet 3 (step S32).
In addition, the second motion vector input means 33 receives the second motion vector transmitted from the second motion vector extraction device 60 (step S33).
Further, the second motion vector input unit 33 outputs the received second motion vector to the synchronization unit 32a of the comparison image decoding unit 32A.

Next, the video input unit 34 reads the bit stream stored in the video storage unit 10 (step S34).
Next, the video input unit 34 outputs the read bit stream to the synchronization unit 32a of the comparison image decoding unit 32A.

Next, the synchronization unit 32a synchronizes the bit stream output from the video input unit 34 and the second motion vector output from the second motion vector input unit 33 (step S35).
Next, the bit stream synchronized by the synchronization unit 32a is output to the block information analysis unit 321 of the motion vector conversion unit 32c, and the synchronized second motion vector is output to the motion vector replacement unit 322 of the motion vector conversion unit 32c. To do.

Next, the block information analysis unit 321 analyzes the block information of the bitstream, and extracts block motion compensation information and quantized DCT coefficients (quantized DCT coefficients) (step S36).
Then, the block information analysis unit 321 outputs motion compensation information including data indicating the position of the first motion vector to the motion vector replacement unit 322, and outputs the quantized DCT coefficient to the inverse quantization unit 323.

Next, the motion vector replacement unit 322 converts the first motion vector from the motion compensation information to the second motion based on the motion compensation information output from the block information analysis unit 321 and the second vector output from the synchronization unit 32a. Replace with a vector (step S37).
Then, the motion vector replacement unit 322 outputs the motion compensation information obtained by replacing the first motion vector with the second motion vector to the motion compensation unit 326.

Also, the inverse quantization unit 323 inversely quantizes the quantized DCT coefficient output from the block information analysis unit 321 to obtain a DCT coefficient (step S38).
Then, the inverse quantization unit 323 outputs the DCT coefficient to the inverse DCT unit 324.
Next, the inverse DCT unit 324 performs inverse DCT on the DCT coefficient output from the inverse quantization unit 323 to obtain pixel space data (step S39).
Then, the inverse DCT unit 324 outputs the pixel space data to the calculation unit 327.

  In addition, the motion compensation unit 326 uses the reference image (one image) stored in the frame memory 325 based on the motion compensation information obtained by replacing the first motion vector output from the motion vector replacement unit 322 with the second motion vector. A predicted image predicted to have moved by the second motion vector is generated from the previous image) (step S40).

Then, the motion compensation unit 326 outputs the predicted image to the calculation unit 327.
The calculation unit 327 calculates the pixel space data output from the inverse DCT unit 324 and the predicted image output from the motion compensation unit 326, and decodes the comparison image (step S41).

Next, an original image generation method according to this embodiment will be described with reference to the drawings. FIG. 8 to be referred to is a flowchart showing a method of decoding an original image according to the present invention. Note that FIG. 4 and FIG. 6 are referred to as appropriate.
As shown in FIG. 8, the video input means 35 reads the bit stream stored in the video storage means 10 (step S51).
Next, the video input unit 35 outputs the read bit stream to the block information analysis unit 321 of the original image decoding unit 36.

Next, the block information analysis unit 321 analyzes the block information of the bit stream output from the video input unit 35, and extracts the motion compensation information of the block and the quantized DCT coefficient (quantized DCT coefficient). (Step S52).
Then, the block information analysis unit 321 outputs the motion compensation information to the motion compensation unit 326A, and outputs the quantized DCT coefficient to the inverse quantization unit 323.

Next, the inverse quantization unit 323 inversely quantizes the quantized DCT coefficient output from the block information analysis unit 321 to obtain a DCT coefficient (step S53).
Then, the inverse quantization unit 323 outputs the DCT coefficient to the inverse DCT unit 324.
Next, the inverse DCT unit 324 performs inverse DCT on the DCT coefficients output from the inverse quantization unit 323 to obtain pixel space data (step S54).
Then, the inverse DCT unit 324 outputs the pixel space data to the calculation unit 327A.

Also, it is assumed that the motion compensation unit 326A has moved by the first motion vector from the reference image (the previous image) stored in the frame memory 325 based on the motion compensation information output from the block information analysis unit 321. A predicted image to be predicted is generated (step S55).
Then, the motion compensation unit 326A outputs the predicted image to the calculation unit 327A.
The calculation unit 327A calculates the pixel space data output from the inverse DCT unit 324 and the predicted image output from the motion compensation unit 326A, and decodes the original image (step S56).

The comparison image decoded in this way is displayed on the second video display means 90b, the original image is displayed on the first video display means 90a, and the comparison image and the original image are compared with each other. If there is a difference, it is considered that there is an abnormality in the content of the received video that is transmitted from the broadcast transmission device 20 and received by the broadcast relay device 50.
On the other hand, if there is no difference between the comparison image and the original image, it is considered that there is no abnormality in the content of the received video transmitted from the broadcast transmission device 20 and received by the broadcast relay device 50.
Further, the function of each component in the video reproduction device 30A is realized by a CPU (not shown) performing arithmetic processing based on a program (video reproduction program) stored in a storage means (not shown).

  In the second embodiment, the extraction of the second motion vector is performed prior to the removal of the first motion vector, but the removal of the first motion vector is performed prior to the extraction of the second motion vector. There may be. Further, the removal of the first motion vector and the extraction of the second motion vector may be performed simultaneously. Further, although the video reproduction device 30A, the original image decoding device 30B, the first video display means 90a, and the second video display means 90b are installed in the broadcasting station 1A, they may be outside the broadcasting station 1A. Moreover, although the 2nd vector extraction apparatus 50 is installed in the relay broadcast station 2, you may install in places other than the relay broadcast station 2, for example, a home, an accommodation establishment, a restaurant, etc.

  According to the second embodiment, the content of the received video at the broadcast relay station 2 or the receiver 80 does not overlook an abnormality in the content of the received video, does not require a wide-band transmission path, takes time and effort, and Whether or not is abnormal can be monitored.

1 is a block diagram illustrating a video anomaly detection system according to the present invention. It is a block diagram which shows the video coding means based on this invention. 3 is a flowchart illustrating a video anomaly detection method according to the present invention. 1 is a block diagram illustrating a video anomaly detection system according to the present invention. It is a block diagram which shows the motion vector replacement means based on this invention. It is a block diagram which shows the original image decoding means which concerns on this invention. 4 is a flowchart illustrating a method for decoding a comparison image according to the present invention. 4 is a flowchart illustrating a method for decoding an original image according to the present invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1,1A Broadcast station 30 Image | video abnormality detection apparatus 30A Image | video reproduction apparatus 31 1st motion vector extraction means 32b Motion vector comparison means 33 2nd motion vector input means (2nd vector acquisition means)
50 Broadcast relay device (receiver)
60 Second motion vector extracting device (receiving device)
321 Block information analysis unit (first motion vector position detection means)
322 Motion vector replacement unit (received video decoding means)
323 Inverse quantization unit (received video decoding means)
324 Inverse DCT unit (received video decoding means)
325 frame memory (received video decoding means)
326 Motion compensation unit (received video decoding means)
327 Calculation unit (received video decoding means)

Claims (6)

When a broadcast video encoded in units of images including a motion vector is transmitted from a broadcast station via a broadcast wave, and the reception device receives the received video as a received video, the content of the received video is abnormal in the broadcast station. An image abnormality detection device for detecting
First motion vector extraction means for extracting a first motion vector from an image constituting the broadcast video;
Second motion vector acquisition means for acquiring, via a communication line, a second motion vector extracted from an image constituting the received video by the receiving device;
A motion vector comparison means for detecting an abnormality in the content of the received video by comparing the first motion vector and the second motion vector in units of images;
An image abnormality detection device comprising: When a broadcast video encoded in units of images including a motion vector is transmitted from a broadcast station via a broadcast wave, and the reception device receives the received video as a received video, an abnormality in the content of the received video is An image abnormality detection method for detecting in
A first motion vector extracted from an image constituting the broadcast video in the broadcast station, and a second motion vector extracted from an image constituting the received video in the receiving device and acquired via a communication line in the broadcast station Is detected in units of images to detect an abnormality in the content of the received video. When a broadcast video encoded in units of images including a motion vector is transmitted from a broadcast station via a broadcast wave, and the reception device receives the received video as a received video, the content of the received video is abnormal in the broadcast station. To detect the computer,
First motion vector extraction means for extracting a first motion vector from an image constituting the broadcast video;
Second motion vector acquisition means for acquiring a second motion vector extracted from an image constituting the received video by the receiving device via a communication line;
A motion vector comparison means for detecting an abnormality in the content of the received video by comparing the first motion vector and the second motion vector in units of images;
A video anomaly detection program characterized by functioning as When a broadcast video encoded in units of images including a motion vector is transmitted from a broadcast station via a broadcast wave, and the reception device receives the received video as a received video, the content of the received video is abnormal in the broadcast station. Is a video reproduction device that reproduces the received video,
First motion vector position detecting means for detecting a position of the first motion vector from an image constituting the broadcast video;
Second motion vector acquisition means for acquiring, via a communication line, a second motion vector extracted from an image constituting the received video by the receiving device;
Received video decoding means for replacing the first motion vector with the second motion vector for each image and decoding the broadcast video as the received video at the position of the first motion vector detected by the position detecting means. When,
A video reproduction device comprising: When a broadcast video encoded in units of images including a motion vector is transmitted from a broadcast station via a broadcast wave, and the reception device receives the received video as a received video, the content of the received video is abnormal in the broadcast station. Is a video reproduction method for reproducing the received video,
The first motion vector detected from the image constituting the broadcast video in the broadcast station is extracted from the image constituting the received video in the receiving device, and the second motion vector obtained via the communication line in the broadcast station is obtained. An image reproduction method, wherein the received image is reproduced by replacement. When a broadcast image encoded in units of images including motion vectors is transmitted from a broadcast station via a broadcast wave, and the reception device receives the received image as a received image, the broadcast station reproduces the received image. In order to detect an abnormality in the content of the received video in the broadcasting station, a computer is
First motion vector position detecting means for detecting the position of the first motion vector from an image constituting the broadcast video;
Second motion vector acquisition means for acquiring a second motion vector extracted from an image constituting the received video by the receiving device via a communication line;
Received video decoding means for replacing the first motion vector with the second motion vector in units of images at the position of the first motion vector detected by the position detecting means, and decoding the broadcast video as the received video;
A video reproduction program characterized by functioning as

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