CN117478834A - Monitoring method and monitoring system based on thumbnail - Google Patents
Monitoring method and monitoring system based on thumbnail Download PDFInfo
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- CN117478834A CN117478834A CN202311414578.7A CN202311414578A CN117478834A CN 117478834 A CN117478834 A CN 117478834A CN 202311414578 A CN202311414578 A CN 202311414578A CN 117478834 A CN117478834 A CN 117478834A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
- H04N5/2628—Alteration of picture size, shape, position or orientation, e.g. zooming, rotation, rolling, perspective, translation
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- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Multimedia (AREA)
- Computer Networks & Wireless Communication (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
The invention discloses a thumbnail-based monitoring method and a thumbnail-based monitoring system, which belong to the technical field of electric digital data processing, wherein the monitoring method comprises the following steps: obtaining a thumbnail of a monitoring video or image, wherein metadata of the thumbnail comprises a time stamp; and displaying the thumbnail images in sequence according to the time stamp. The monitoring video or the image is transmitted or displayed in a thumbnail mode, so that the transmission efficiency can be effectively improved, the bandwidth and the flow pressure can be reduced, and the decoding pressure of a display end or a display end can be reduced; sequentially displaying the thumbnails according to the time stamps to display continuously-changed monitoring pictures; the display delay may also be parsed from the timestamp.
Description
Technical Field
The invention relates to the technical field of electric digital data processing, in particular to a thumbnail-based monitoring method and a thumbnail-based monitoring system.
Background
At present, the remote monitoring mainly uses video stream pushing, and the real-time picture transmission is realized by directly connecting or forwarding data streams between a monitoring end and display equipment. For example, monitoring pictures of a plurality of monitoring cameras are displayed in parallel on a screen of a monitoring room; the team cooperation software sharing screen function pushes the presenter's screen information data to conference participants. However, on the one hand, such video streams need to be decoded by a display device, and when decoding multiple video streams, the display device needs to occupy a large amount of computing resources, so that the number of video displays is limited, and only ten video streams are usually supported; on the other hand, multiple video streams require a significant amount of bandwidth and traffic. Therefore, the video streaming mode cannot be suitable for large-scale monitoring.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a thumbnail-based monitoring method and a thumbnail-based monitoring system, which reduce decoding, bandwidth and flow pressure of display equipment and improve monitoring efficiency.
The invention discloses a thumbnail-based monitoring method, which comprises the following steps: obtaining a thumbnail of a monitoring video or image, wherein metadata of the thumbnail comprises a time stamp; and displaying the thumbnail images in sequence according to the time stamp.
Preferably, the method for sequentially displaying the corresponding thumbnails according to the time stamps includes:
obtaining a second thumbnail and a second timestamp thereof;
judging whether a first time stamp of a first thumbnail displayed at present is earlier than the second time stamp;
and if yes, displaying the second thumbnail.
Preferably, the request cache is disabled in the display end of the thumbnail, and the thumbnail is displayed in a mode of adding the timestamp parameter.
Preferably, the cloud storage-based display method includes: obtaining a monitoring video or image through a monitoring end; generating a thumbnail according to the parameters of the thumbnail and the monitoring video or image; uploading the generated thumbnail to cloud storage; downloading corresponding thumbnail images from the cloud storage; and displaying the thumbnail with the latest time stamp in a corresponding window of the display end.
Preferably, the parameters of the thumbnail include any one of the following information or a combination thereof: interval time, image quality, thumbnail scaling, thumbnail grey-scale value, whether only key frames are collected, and the percentage of difference of key frames.
Preferably, the method for generating the key frame comprises the following steps: judging whether the difference percentage of the current frame and the previous thumbnail exceeds a first threshold value or not; if yes, generating a thumbnail based on the current frame; if not, discarding the current frame; the method for calculating the difference percentage comprises the following steps: binarizing the current frame or the thumbnail to obtain an image matrix; converting an image matrix into a collapsed matrix with the length of both rows and columns being M bits based on a local adjacent point weighting method, wherein M is a natural number; generating eigenvalues according to the row and column data of the collapsed matrix; and calculating the difference percentage according to the characteristic values of the current frame and the previous thumbnail.
Preferably, the method for generating the thumbnail according to the plurality of groups of parameters comprises the following steps:
judging whether the following first condition is satisfied: the first parameter of the first set of parameters may improve the quality or number of images of the thumbnail compared to the corresponding second parameter of the second set of parameters;
if yes, adopting a first parameter;
if not, adopting the second parameter.
The method for managing the monitoring end and the display end comprises the following steps: detecting the online condition of the monitoring end through the service end; after receiving a connection request and confirming the permission, the server establishes connection with a platform where the display end is located; and responding to the monitoring request of the display end, and generating and sending a corresponding monitoring task to the monitoring end by the service end.
The invention also provides a monitoring system for realizing the monitoring method, which comprises a second request module and a display module, wherein the second request module is used for obtaining the thumbnail of the monitoring video or image; the display module is used for displaying the thumbnails in sequence according to the time stamp.
Preferably, the monitoring system further comprises a display end, a monitoring end, a service end and cloud storage; the second request module and the display module are deployed at the display end; the monitoring terminal is used for collecting monitoring videos or images, generating thumbnail images according to parameters of the thumbnail images and the monitoring videos or images, and uploading the generated thumbnail images to the cloud storage; the second request module is used for requesting and downloading the thumbnail from the cloud storage; the server is used for connecting the display end and the monitoring end, responding to the monitoring request of the display end and transmitting the monitoring task to the monitoring end. The display end further comprises a first request module used for sending a monitoring request to the server.
Compared with the prior art, the invention has the beneficial effects that: the monitoring video or the image is transmitted or displayed in a thumbnail mode, so that the transmission efficiency can be effectively improved, the bandwidth and the flow pressure can be reduced, and the decoding pressure of a display end or a display end can be reduced; sequentially displaying the thumbnails according to the time stamps to display continuously-changed monitoring pictures; the display delay may also be parsed from the timestamp.
Drawings
FIG. 1 is a flow chart of a thumbnail-based monitoring method of the present invention;
fig. 2 is a logical block diagram of the monitoring system of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is described in further detail below with reference to the attached drawing figures:
the thumbnail-based monitoring method, as shown in fig. 1, comprises the following steps:
step 101: a thumbnail of the surveillance video or image is obtained, the metadata of the thumbnail including a timestamp.
Step 102: and displaying the thumbnail images in sequence according to the time stamp.
The monitoring video or the image is transmitted or displayed in a thumbnail mode, so that the transmission efficiency can be effectively improved, the bandwidth and the flow pressure can be reduced, and the decoding pressure of a display end or a display end can be reduced; sequentially displaying the thumbnails according to the time stamps to display continuously-changed monitoring pictures; the display delay may also be parsed from the timestamp. In actual test, the display end can support a single machine to display hundreds of monitoring pictures on the same screen.
The method for sequentially displaying the corresponding thumbnails according to the time stamps comprises the following steps:
step 201: obtaining a second thumbnail and a second timestamp thereof;
step 202: judging whether a first time stamp of a first thumbnail displayed at present is earlier than the second time stamp;
if yes, go to step 203: and displaying the second thumbnail.
If not, go to step 204 to continue to display the first thumbnail.
Steps 201-204 are applicable to scenes/situations where thumbnails are generated in real-time or continuously. For a plurality of continuous thumbnails stored, the thumbnails can be displayed in sequence according to the time stamp and the delay of the current time; for example, thumbnail images exhibiting a delay less than a second threshold, the second threshold being determined by the time of play of the first thumbnail image.
In a specific setting, the display end needs to disable the request cache, and displays the thumbnail in a mode of adding the timestamp parameter.
The invention also provides a display method based on cloud storage, which comprises the following steps:
step 301: and obtaining a monitoring video or image through the monitoring end.
Step 302: and generating the thumbnail by the monitoring terminal according to the parameter of the thumbnail and the monitoring video or image.
Wherein the parameters of the thumbnail include any one or a combination of the following information: interval time, image quality, thumbnail scaling, thumbnail grey-scale value, whether only key frames are collected, and the percentage of difference of key frames. Interval time: describing at what frequency the monitoring device should cycle to generate a thumbnail of the current picture. Image quality: the quality level or resolution of the image used in generating the thumbnail may significantly affect the size of the thumbnail data. Thumbnail zoom ratio: the scaling of the generated thumbnail to the original interface, this parameter can significantly affect the thumbnail data size. Thumbnail grey value: the generated thumbnail grey value is set, and this parameter can affect the thumbnail size, but can have an impact on the image visibility. Whether only key frames are collected: after the configuration is started, the monitoring equipment compares the thumbnail generated in a circulating way, the previous graph is used as a reference graph, uploading is performed after the difference between the new graph and the reference graph exceeds a set value, then the new graph is set as the reference graph, the graph generated later is continuously compared with the graph, and the like. Key frame difference percentage: when key frame collection is enabled, the reference value of the difference between the two images is measured.
Step 303: and uploading the generated thumbnail to cloud storage through the monitoring terminal.
Step 304: and the display end downloads the corresponding thumbnail from the cloud storage.
Step 305: and displaying the thumbnail with the latest time stamp in a corresponding window of the display end.
Remote monitoring can be realized by a cloud storage mode. More specifically, the monitoring end continuously generates a thumbnail of the current monitoring picture according to the task parameter, uploads the thumbnail to the server of the appointed cloud storage, names the thumbnail files by the appointed rule containing equipment codes, and covers and stores the same name files, so that only the latest thumbnail is reserved. The display end requests thumbnail information from the cloud storage server according to the agreed naming cycle, and disables the request cache in a mode of adding the timestamp parameter so as to form continuously-changed interface content.
The method for generating the key frame comprises the following steps:
step 401: and judging whether the difference percentage of the current frame and the previous thumbnail exceeds a first threshold value.
If yes, go to step 402: a thumbnail is generated based on the current frame.
If not, go to step 403: the current frame is discarded.
The method for calculating the difference percentage comprises the following steps:
step 411: and binarizing the current frame or the thumbnail to obtain an image matrix.
Step 412: the image matrix is converted into a collapsed matrix with the length of both rows and columns being M bits based on a local neighbor point weighting method. Where M is a natural number, such as 16.
Step 413: characteristic values, such as character strings of 256 bits in length, are generated from the row and column data of the collapsed matrix, each bit value being either 0 or 1.
Step 414: and calculating the difference percentage, namely the percentage of the difference characters, according to the characteristic values of the current frame and the previous thumbnail.
The same monitoring terminal may accept two different monitoring tasks, each monitoring task has a set of parameters, and some of the two sets of parameters are different. The method for generating the thumbnail according to the plurality of groups of parameters is as follows:
step 501: judging whether the following first condition is satisfied: the first parameter of the first set of parameters may improve the quality or number of images of the thumbnail compared to a corresponding second parameter of the second set of parameters.
If yes, step 501: the first parameter is used.
If not, step 502: the second parameter is used.
And the final set of parameters may be different from both the first set of parameters and the second set of parameters. The image quality and the picture display requirements of each group of parameters can be met and covered. Wherein, the higher the image quality, the more the number of thumbnail images, the better the display efficiency of the monitoring picture. For example, if the a task demand image quality is high and the key frame collection is enabled, and if the B task demand image quality is medium and the key frame is not enabled, the final result is that the thumbnail is generated according to the parameters of the image quality being high and the key frame not being enabled.
The monitoring end and the display end can be managed through the service end:
step 601: and detecting the online condition of the monitoring end through the service end. The on-line condition detection may be performed, for example, by a heartbeat mechanism (including monitored authorization code information for timing switches).
Step 602: after receiving the connection request and confirming the permission, the server establishes connection with the platform where the display end is located.
The server is used for connecting (such as Socket connection) and verifying the identities of the monitoring terminal equipment and the display terminal platform and transferring the interaction information. The server is only used for measuring the connection state of the display end and the monitoring end and receiving monitoring parameters in time, and is not responsible for the transmission of monitoring data, so that the cost is small, and a plurality of connections can be established simultaneously.
Step 603: and responding to the monitoring request of the display end, and generating and sending a corresponding monitoring task to the monitoring end by the service end. The monitoring request may include specific parameters and the device number of a batch of monitoring terminals that need to be included in the monitoring.
In addition, all service requests or data transmissions are protected by RSA asymmetric encryption algorithms, and ciphertext is sent to prevent hackers from injecting or tampering with the information. After the monitoring request or the monitoring task is finished (i.e. the monitoring subscription is canceled), the monitoring terminal does not generate any more and uploads the thumbnail.
The invention also provides a monitoring system for implementing the above-mentioned monitoring method, as shown in fig. 2, the monitoring system comprises a second request module 11 and a display module 12,
the second request module 11 is configured to obtain a thumbnail of a monitoring video or an image;
the display module 12 is configured to sequentially display the thumbnails according to the time stamps.
The monitoring system further comprises at least one display end 1, at least one monitoring end 2, a service end 3 and cloud storage 4; the second request module 11 and the display module 12 are deployed at the display end 1;
the monitoring terminal 2 is used for collecting a monitoring video or image, generating a thumbnail according to parameters of the thumbnail and the monitoring video or image, and uploading the generated thumbnail to the cloud storage;
the second request module 11 is configured to request the cloud storage 4 and download the thumbnail from the cloud storage 4;
the server 3 is used for connecting the display end 1 and the monitoring end 2, and sending a monitoring task to the monitoring end 2 in response to receiving the monitoring request of the display end 1. The server is used for connection and management of the monitoring end and the display end and distribution of monitoring tasks, and the cloud storage is used for storage and distribution of thumbnail images.
The invention introduces the service end, simplifies the many-to-many relation complexity of the monitoring equipment and the display end or the display platform, and only when the display platform requests the monitoring task, the invention performs point-to-point connection with the specific monitoring equipment, and after the monitoring task is finished or the batch of the monitoring equipment is adjusted, the connection with the original monitoring equipment is disconnected. And writing the timestamp information of the generated picture into the image metadata for the display platform to analyze the delay time of the current picture. The thumbnail mode which changes continuously is adopted for replacing video stream monitoring, so that flow consumption of a monitoring end and a display end is reduced, the display end supports a single machine to display hundreds of monitoring pictures on the same screen, and the monitoring end supports processing hundreds of monitoring tasks simultaneously. The key frame mode is designed, and a large number of interfaces with tiny changes can be filtered by adopting a picture comparison algorithm, so that the throttle is further realized. The multiple thumbnail parameters can be adjusted to the optimal operating parameters according to the equipment performance and the network environment.
The invention has the following advantages: 1. the method solves the difficulty that the traditional video stream push technology can not stably support the push of thousands of screens while keeping the receiving end flexible and changeable when the platform is not turned in professional video. The point-to-point connection between the monitoring end and the display end can adopt a subscription mode, the display end is a subscriber, and the subscription target can be cancelled or replaced at any time. The screen data is not directly transmitted between the two, and the channel only maintains the subscription relation, so that the flexible and stable large-scale monitoring purpose is achieved. 2. The method solves the problem that the display end/platform cannot analyze hundreds of video streams and display pictures simultaneously in real time. Taking a browser as a display end for example, when the maximum concurrent request number for the same domain name is set to be 8, and assuming that each request takes 150ms and the update frequency of a single screen is 2 seconds, the theoretical value of the monitoring screen can be displayed on the same screen to be more than 100. 3. The problem of traditional video mode monitoring flow consumption huge is solved. No matter how many subscribers are in a single monitoring device, only one thumbnail is uploaded to the cloud server in unit time, and when no subscribers are available, no thumbnail is generated. 4. The problem of stability of the transmission of the monitoring picture in the weak network environment is solved. Under the weak network environment, all parameters can be adjusted to the minimum, the original interface of 1920 x 1080 (px) is 400-800 KB, black-white thumbnails of 384 x 216 (px) are generated only by 1-2 KB, and the parameters can be gradually increased on the premise of ensuring stable transmission, so that the visibility is improved. 5. For the monitoring type without obvious change of long-time pictures, after the key frame collecting function is started, the uploading flow is saved.
In one particular embodiment, the thumbnail-based monitoring method may be applied to present an interface of a digital personal platform remote device into a presentation large screen. On the basis of the established digital man platform, the large-scale monitoring function is integrated, the original server function is expanded, and the service module for authenticating and forwarding the monitoring request is added. The integrated cloud stores the storage server as a thumbnail. The digital personal device upgrades the service application to support the picture difference contrast function and image processing capability. And manufacturing a large-screen same-screen display page by adopting a browser display end, and providing rich screening items to obtain equipment number batches to be monitored. The page realizes rolling page turning, and when the picture window moves out of the visible area for 3 seconds, downloading and displaying of the thumbnail of the picture window are paused; when the screen moves out of the viewable area for 60 seconds, the monitor screen subscription to the device is canceled.
Example 1
Small-scale fine monitoring: setting the image scaling ratio to be 1:1, the image quality to be high definition, the updating frequency to be 1 second, not enabling key frame collection, and simultaneously displaying the behaviors of 8 digital people of a certain service group in a display end, wherein each picture 1920 is x 1080 (px), about 500KB, and the downlink flow of the display end for monitoring tasks is about 4MB/s. Such a monitoring scenario may be used to carefully compare differences in execution behavior of the same instruction by a blind digital person.
Example 2
Medium-scale generalization monitoring: setting the image scaling ratio to be 1:4, setting the image quality to be common, updating the image quality to be 2 seconds, not enabling key frame collection, simultaneously displaying the behaviors of 50 digital people of a certain service group in a large screen, and enabling the downstream flow of a display end for monitoring tasks to be about 125KB/s by 480 x 270 (px) of each picture. The monitoring scene can be used for observing the same batch of digital people who perform tasks, and the behavior of which digital people is abnormal.
Example 3
Flexible monitoring of mass scale: setting the image scaling ratio as 1:6, setting the image quality as low, updating the image at 4 seconds, not starting key frame collection, changing the browser configuration to support the concurrency of a larger number of GET requests, subscribing the screen information of 1000 digital persons by a display end, only simultaneously displaying the screen pictures of 100 digital persons in a large-screen visual area, reading the time stamp information in the image metadata after each request to the thumbnail, and arranging the images with the time stamp change (namely the newly generated images) into a front visual area. Each screen 320 x 180 (px), about 1KB, the downstream traffic for the monitor task at the presentation end is about 250KB/s. Such a monitoring scenario may be used to view the activity of a batch of digital people over a period of time. And monitoring the uplink traffic use condition of 1000 digital personal devices on the domain name of the cloud storage server, wherein the total traffic consumption within 1 hour is about 900MB.
Example 4
Key frame collection was enabled and the percentage difference was set to 3% with the other parameters being the same as in example 3. The total flow consumption over 1 hour was measured to be about 820MB, saving 8.89% flow compared to example 3.
Example 5
Key frame collection was enabled and the percentage difference was set to 10% with the other parameters being the same as in example 3. The total flow consumption over 1 hour was measured to be about 680MB, saving 24.44% of the flow compared to control a.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The thumbnail-based monitoring method is characterized by comprising the following steps of:
obtaining a thumbnail of a monitoring video or image, wherein metadata of the thumbnail comprises a time stamp;
and displaying the thumbnail images in sequence according to the time stamp.
2. The monitoring method according to claim 1, wherein the method of sequentially displaying the respective thumbnails according to the time stamps comprises:
obtaining a second thumbnail and a second timestamp thereof;
judging whether a first time stamp of a first thumbnail displayed at present is earlier than the second time stamp;
and if yes, displaying the second thumbnail.
3. The method of claim 1, wherein the request cache is disabled in the presentation end of the thumbnail and the thumbnail is presented by appending a time stamp parameter.
4. The monitoring method according to claim 1, further comprising a cloud storage based display method:
obtaining a monitoring video or image through a monitoring end;
generating a thumbnail according to the parameters of the thumbnail and the monitoring video or image;
uploading the generated thumbnail to cloud storage;
downloading corresponding thumbnail images from the cloud storage;
and displaying the thumbnail with the latest time stamp in a corresponding window of the display end.
5. The method of monitoring according to claim 4, wherein the parameters of the thumbnail image include any one or a combination of the following information: interval time, image quality, thumbnail scaling, thumbnail grey-scale value, whether only key frames are collected, and the percentage of difference of key frames.
6. The method of monitoring of claim 5, wherein the method of generating the keyframes comprises:
judging whether the difference percentage of the current frame and the previous thumbnail exceeds a first threshold value or not;
if yes, generating a thumbnail based on the current frame;
if not, discarding the current frame;
the method for calculating the difference percentage comprises the following steps:
binarizing the current frame or the thumbnail to obtain an image matrix;
converting an image matrix into a collapsed matrix with the length of both rows and columns being M bits based on a local adjacent point weighting method, wherein M is a natural number;
generating eigenvalues according to the row and column data of the collapsed matrix;
and calculating the difference percentage according to the characteristic values of the current frame and the previous thumbnail.
7. The method of monitoring of claim 4, further comprising the step of generating a thumbnail image based on a plurality of sets of parameters:
judging whether the following first condition is satisfied: the first parameter of the first set of parameters can improve the image quality or the number of the thumbnail images compared with the corresponding second parameter of the second set of parameters;
if yes, adopting a first parameter;
if not, adopting the second parameter.
8. The method for monitoring as claimed in claim 4, further comprising the steps of:
detecting the online condition of the monitoring end through the service end;
after receiving a connection request and confirming the permission, the server establishes connection with a platform where the display end is located;
and responding to the monitoring request of the display end, and generating and sending a corresponding monitoring task to the monitoring end by the service end.
9. A monitoring system for implementing the monitoring method according to any one of claims 1-8, comprising a second request module and a presentation module,
the second request module is used for obtaining a thumbnail of the monitoring video or image;
the display module is used for displaying the thumbnails in sequence according to the time stamp.
10. The monitoring system of claim 9, further comprising a presentation side, a monitoring side, a server side, and cloud storage; the second request module and the display module are deployed at the display end;
the monitoring terminal is used for collecting monitoring videos or images, generating thumbnail images according to parameters of the thumbnail images and the monitoring videos or images, and uploading the generated thumbnail images to the cloud storage;
the second request module is used for requesting and downloading the thumbnail from the cloud storage;
the server is used for connecting the display end and the monitoring end, responding to the monitoring request of the display end and transmitting the monitoring task to the monitoring end.
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