WO2014059723A1 - 视频图像质量诊断系统及其方法 - Google Patents

视频图像质量诊断系统及其方法 Download PDF

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Publication number
WO2014059723A1
WO2014059723A1 PCT/CN2012/084782 CN2012084782W WO2014059723A1 WO 2014059723 A1 WO2014059723 A1 WO 2014059723A1 CN 2012084782 W CN2012084782 W CN 2012084782W WO 2014059723 A1 WO2014059723 A1 WO 2014059723A1
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Prior art keywords
video
image quality
video image
polling
quality diagnosis
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PCT/CN2012/084782
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English (en)
French (fr)
Inventor
郭斌
陈县
Original Assignee
杭州海康威视数字技术股份有限公司
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Priority to EP12886723.1A priority Critical patent/EP2911387B1/en
Priority to US14/436,306 priority patent/US10015529B2/en
Publication of WO2014059723A1 publication Critical patent/WO2014059723A1/zh

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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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/98—Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
    • G06V10/993—Evaluation of the quality of the acquired pattern
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00—Diagnosis, testing or measuring for television systems or their details
    • H04N17/002—Diagnosis, testing or measuring for television systems or their details for television cameras
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00—Diagnosis, testing or measuring for television systems or their details
    • H04N17/06—Diagnosis, testing or measuring for television systems or their details for recorders
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/21—Server components or server architectures
    • H04N21/222—Secondary servers, e.g. proxy server, cable television Head-end
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/234—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
    • H04N21/23418—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics
    • 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

Definitions

  • the present invention relates to the field of video surveillance application technologies, and in particular, to video image quality diagnosis techniques.
  • the invention title is Chinese patent application of "Video Image Intelligent Diagnosis System and Method”.
  • the patent application program relates to a video image intelligent diagnosis system, comprising: a video data access interface for accessing real-time video images transmitted by each monitoring point; and an intelligent image analysis unit for polling the real-time video images Performing intelligent analysis; anomaly standard comparison unit for comparing with standard elements of various video image anomalies to determine video image quality; fault alarm unit for generating video image failure when judging a problem Alarm information and notify the system administrator.
  • the video surveillance system and the video image diagnosis system are not considered in a unified manner, and the video image diagnosis system is designed in isolation.
  • the video surveillance system itself needs to perform the code stream polling to view the video of each monitoring point, and the video image diagnosis system also performs the image stream polling for each monitoring point to perform image diagnosis. That is to say, the prior art video image diagnostic system results in greater bandwidth consumption and connection port consumption of the monitoring point device.
  • the object of the present invention is to provide a video image quality diagnosis system and a method thereof, which effectively reduce the bandwidth consumption of the video monitoring system and the connection port consumption of the monitoring device.
  • an embodiment of the present invention discloses a video image quality diagnosis system, including: a video monitoring system and a video image quality diagnosis server;
  • the polling host is configured to poll each video monitoring point, obtain a video code stream, perform video preview, and send the obtained video code stream to the video image quality diagnosis server;
  • the video image quality diagnostic server is used for video image quality diagnosis of the received video stream.
  • Embodiments of the present invention also disclose a video image quality diagnosis system, including: a video monitoring system and a video image quality diagnosis server;
  • the polling host is used to poll each video monitoring point, obtain a video code stream, perform video preview, and simultaneously take a screenshot of the preview interface, and segment the screen of the screen to obtain a picture corresponding to each video monitoring point, and The obtained picture is sent to the video image quality diagnosis server;
  • the video image quality diagnostic server is used to perform video image quality diagnosis on the received picture.
  • Embodiments of the present invention also disclose a video image quality diagnosis system, including: a video monitoring system and a video image quality diagnosis server;
  • the polling host is used to poll each video monitoring point, obtain a video stream, perform video preview, and save the polling video of the corresponding monitoring point, and send the saved polling video to the video image quality during the network use trough period. Diagnostic server
  • the video image quality diagnostic server is used to perform video image quality diagnosis on the received polling video.
  • the embodiment of the invention also discloses a video image quality diagnosis system, comprising: a video monitoring system and a video image quality diagnosis module;
  • the polling host is configured to poll each video monitoring point to obtain a video code stream and perform video preview.
  • the video image quality diagnosis module is embedded in the image acquisition device of the video monitoring point for performing video image quality diagnosis on the image collected by the image acquisition device.
  • Embodiments of the present invention also disclose a video image quality diagnosis method, including the following steps:
  • the polling host polls each video monitoring point to obtain a video code stream
  • the polling host simultaneously previews the obtained video code stream, and sends the video code stream to the video image quality diagnosis server;
  • the video image quality diagnosis server performs video image quality diagnosis on the received video stream.
  • Embodiments of the present invention also disclose a video image quality diagnosis method, including the following steps:
  • the polling host polls each video monitoring point to obtain a video code stream
  • the polling host previews the obtained video stream, intercepts the preview interface, divides the screen of the screen, obtains a picture corresponding to each video monitoring point, and sends the obtained picture to the video image quality diagnosis. server;
  • the video image quality diagnostic server performs video image quality diagnosis on the received picture.
  • Embodiments of the present invention also disclose a video image quality diagnosis method, including the following steps:
  • the polling host polls each video monitoring point to obtain a video code stream
  • the polling host previews the obtained video code stream and saves the polling video corresponding to the monitoring point;
  • the polling host sends the saved polling video to the video image quality diagnostic server;
  • the video image quality diagnostic server performs video image quality diagnosis on the received polling video.
  • the video image quality diagnosis system is integrated into the video surveillance system by means of a diagnostic private network, which effectively reduces the bandwidth consumption of the video surveillance system and the connection port consumption of the monitoring device.
  • the polling host polls the video monitoring points to view the video screen, screens the software interface, and divides the screen of the screen capture, and then sends the image to the video image quality diagnosis server for diagnosis through the diagnostic private network, further reducing Diagnosing the bandwidth consumption of the private network avoids the complexity of the video image quality diagnosis server processing various packages and various codes, and improves the stability of the video image quality diagnosis server.
  • the non-real-time video image quality diagnosis system utilizes the peak-to-valley period of network bandwidth usage and rationally uses the bandwidth, which can significantly reduce the bandwidth usage during the peak period of network usage, and achieve the video image quality diagnosis result in a non-real time.
  • the video image quality diagnosis module is embedded in the front-end device, which avoids the large-scale transmission of image data required for video image quality diagnosis in the network red, does not increase bandwidth consumption for the existing video surveillance network system, and requires images for video image quality diagnosis. Data uncompressed image data improves diagnostic accuracy.
  • the polling host obtains the code stream from each video monitoring point through the software to poll and view the video picture, and obtains the code stream, and sends the same code stream to the video image quality diagnosis server for diagnosis through the diagnosis private network, without reconnection.
  • the monitoring device performs streaming, and this part of the code stream transmission does not occupy the bandwidth of the video monitoring network.
  • the polling host uses a dual network card to connect to the video surveillance network and the diagnostic private network respectively.
  • the code stream is sent to the video image quality diagnosis server for diagnosis, the part of the code stream transmission does not occupy the bandwidth of the video monitoring network.
  • the time period of the polling is 10 seconds or more, and the video stream obtained during the polling period is enough for the video image quality diagnosis server to complete a diagnosis.
  • the method of image diagnosis can further reduce the bandwidth consumption of the diagnostic private network, avoid the complexity of processing various encapsulation and coding by the video image quality diagnosis server, and improve the stability of the video image quality diagnosis server.
  • FIG. 1 is a schematic structural diagram of a video image quality diagnosis system according to a first embodiment of the present invention
  • FIG. 2 is a network topology diagram of a video image quality diagnosis system in a first embodiment of the present invention
  • FIG. 3 is a schematic structural diagram of a video image quality diagnosis system according to a second embodiment of the present invention.
  • FIG. 4 is a schematic diagram of a polling host preview interface in a video image quality diagnosis system according to a second embodiment of the present invention.
  • FIG. 5 is a schematic diagram of a screen shot of a polling host preview interface in a video image quality diagnosis system according to a second embodiment of the present invention, in which a picture corresponding to each preview window is cut out;
  • FIG. 6 is a schematic diagram of a picture sequence corresponding to each polling preview window being sent to a video image quality diagnosis server for diagnosis in the second embodiment of the present invention
  • FIG. 7 is a schematic structural diagram of a video image quality diagnosis system according to a third embodiment of the present invention.
  • FIG. 8 is a network topology diagram of a video image quality diagnosis system in a third embodiment of the present invention.
  • FIG. 9 is a network topology diagram of a video image quality diagnosis system in a third embodiment of the present invention.
  • FIG. 10 is a schematic structural diagram of a video image quality diagnosis system according to a fourth embodiment of the present invention.
  • FIG. 11 is a network topology diagram of a video image quality diagnosis system in a fourth embodiment of the present invention.
  • FIG. 12 is a schematic flowchart diagram of a video image quality diagnosis method according to a fifth embodiment of the present invention.
  • FIG. 13 is a schematic flowchart diagram of a video image quality diagnosis method according to a sixth embodiment of the present invention.
  • FIG. 14 is a schematic flow chart of a video image quality diagnosis method according to a seventh embodiment of the present invention.
  • FIG. 1 is a schematic structural diagram of the video image quality diagnosis system.
  • the video image quality diagnosis system includes:
  • Video surveillance system and video image quality diagnostic server are Video surveillance system and video image quality diagnostic server.
  • At least two video monitoring points and at least one polling host are included in the video surveillance system.
  • the polling host is configured to poll each video monitoring point, obtain a video code stream, perform video preview, and send the obtained video code stream to the video image quality diagnosis server.
  • the polling host uses dual network cards to connect to video surveillance points and video image quality diagnostic servers.
  • connection network of the polling host and each of the front and back devices becomes a video surveillance network.
  • a connection network such as a web server and a database server related to a video image quality diagnosis server and video image quality diagnosis is called a diagnostic private network.
  • the polling host uses dual network cards to connect to the video surveillance network and the diagnostic private network.
  • the code stream is sent to the video image quality diagnosis server for diagnosis, this part of the code stream transmission does not occupy the bandwidth of the video monitoring network.
  • the polling host may not use the dual network card technology.
  • the polling host and the video image quality diagnosis server may be placed.
  • the polling host sends the video stream to the video image quality diagnosis server, it also does not occupy the bandwidth of the video monitoring system, and does not affect the quality of the video monitoring.
  • the video image quality diagnostic server is used for video image quality diagnosis of the received video stream.
  • the video image quality diagnosis system is integrated into the video surveillance system by means of a diagnostic private network, which effectively reduces the bandwidth consumption of the video surveillance system and the connection port consumption of the monitoring device.
  • this solution proposes a video image quality diagnosis system that reduces the bandwidth and the consumption of the connection point of the monitoring point device under the video monitoring system.
  • the network topology diagram is shown in Figure 2.
  • a dual network card computer is used as a polling host, and a connection network between a polling host and each front end and a back end device is called a video monitoring network; a web server and a database server related to a video image quality diagnosis server and video image quality diagnosis.
  • the connection network is called a diagnostic private network.
  • the polling host polls the monitoring stream by software to view the video screen, obtains the code stream, and sends the same code stream to the video image quality diagnosis server for diagnosis through the diagnostic private network. There is no need to connect the monitoring device again for streaming, and this part of the code stream transmission does not occupy the bandwidth of the video monitoring network.
  • the time period of polling is basically 10 seconds or more, and the code stream acquired by the polling interval is enough for the video image quality diagnosis server to complete a diagnosis.
  • FIG. 3 is a schematic structural diagram of the video image quality diagnosis system.
  • the video image quality diagnosis system includes:
  • Video surveillance system and video image quality diagnostic server are Video surveillance system and video image quality diagnostic server.
  • At least two video monitoring points and at least one polling host are included in the video surveillance system.
  • the polling host is used to poll each video monitoring point, obtain a video code stream, perform video preview, and simultaneously take a screenshot of the preview interface, and segment the screen of the screen to obtain a picture corresponding to each video monitoring point, and The obtained picture is sent to the video image quality diagnostic server.
  • the video image quality diagnostic server is used to perform video image quality diagnosis on the received picture.
  • the polling host polls the video monitoring points to view the video screen, screens the software interface, and divides the screen of the screen capture, and then sends the image to the video image quality diagnosis server for diagnosis through the diagnostic private network, further reducing Diagnosing the bandwidth consumption of the private network avoids the complexity of the video image quality diagnosis server processing various packages and various codes, and improves the stability of the video image quality diagnosis server.
  • the polling host polls the monitoring stream by software to poll the video screen, and at the same time, screens the software interface, and then splits the screen image to obtain a corresponding single channel video, and then passes Diagnose the private network and send one or more pictures to the video image quality diagnostic server for diagnosis.
  • FIG. 4 is a schematic diagram of the display screen of the polling host.
  • the black border represents the software interface, and the areas 1, 2, 3, and 4 represent the preview window area of the four-way polling video, respectively, and the monitoring software can respectively give the screen coordinates of each area in the display screen. The location in the system. Then, the screen is operated by the function of the operating system, as shown in FIG. 5, according to the coordinates of each area obtained before, the screen cut of the display screen is cut, and the image of the position of each polling preview window can be obtained. .
  • a sequence of pictures of the polling video during the polling period can be obtained.
  • the sequence of pictures corresponding to each polling video is sent to the video image quality diagnosis server for diagnosis, and the result is returned.
  • 1-1 represents the first picture of the first video
  • 1-2 represents the second picture of the first video
  • 1-3 represents the third picture of the first video
  • 2- 1 represents the first picture of the second video
  • 2-2 represents the second picture of the second video... and so on.
  • the monitoring software itself knows that the monitoring point information corresponding to each polling video includes the device IP and channel number, etc., and the diagnosis result can be directly associated with the monitoring point, and the monitoring software can use the diagnostic information for display, alarm, and recording operations. .
  • the present embodiment further reduces the bandwidth consumption of the diagnostic private network, and since the video image quality diagnosis only needs to diagnose the image, the various packages and various types in the video surveillance system are avoided.
  • the complexity brought by the code stream improves the stability of the video image quality diagnosis server.
  • the first embodiment is an embodiment corresponding to the present embodiment, and the present embodiment can be implemented in cooperation with the first embodiment.
  • the related technical details mentioned in the first embodiment are still effective in the present embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related art details mentioned in the present embodiment can also be applied to the first embodiment.
  • a third embodiment of the present invention relates to a video image quality diagnosis system.
  • Fig. 7 is a schematic structural view of the video image quality diagnosis system.
  • the video image quality diagnosis system includes:
  • Video surveillance system and video image quality diagnostic server are Video surveillance system and video image quality diagnostic server.
  • At least two video monitoring points and at least one polling host are included in the video surveillance system.
  • the polling host is used to poll each video monitoring point, obtain a video stream, perform video preview, and save the polling video of the corresponding monitoring point, and send the saved polling video to the video image quality during the network use trough period. Diagnostic server.
  • the video image quality diagnostic server is used to perform video image quality diagnosis on the received polling video.
  • the polling host and the video image quality diagnosis server are located in the same network, and the overall bandwidth of the network is limited, and the network topology diagram is as shown in FIG. 8.
  • the polling host and the video image quality diagnosis server are in the same network, and the network as a whole Bandwidth is limited.
  • FIG. 9 is another network topology diagram of the video image quality diagnosis system, which is consistent with the network topology shown in FIG. 2, but the network bandwidth between the video surveillance network and the diagnostic private network is limited.
  • each monitoring point saves 20 seconds of video recording
  • the polling host sends the saved polling video to the video image quality diagnosis server, or the video image quality diagnosis server actively sends the polling video to the polling host;
  • the video image quality diagnosis server diagnoses the received data and feeds back the results to achieve non-real-time execution of video image quality diagnosis
  • the above-mentioned scheme can also be used to perform non-real-time video image quality diagnosis using the method of image diagnosis.
  • the non-real-time video image quality diagnosis system utilizes the peak-to-valley period of network bandwidth usage and rationally uses the bandwidth, which can significantly reduce the bandwidth usage during the peak period of network usage, and achieve the video image quality diagnosis result in a non-real time.
  • the first and second embodiments are embodiments corresponding to the present embodiment, and the present embodiment can be implemented in cooperation with the first and second embodiments.
  • the related technical details mentioned in the first and second embodiments are still effective in the present embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related art details mentioned in the present embodiment can also be applied to the first and second embodiments.
  • FIG. 10 is a schematic structural diagram of the video image quality diagnosis system.
  • the video image quality diagnosis system includes:
  • Video surveillance system and video image quality diagnostic module are Video surveillance system and video image quality diagnostic module.
  • At least two video monitoring points and at least one polling host are included in the video surveillance system.
  • the polling host is used to poll each video monitoring point to obtain a video stream and perform video preview.
  • the video image quality diagnosis module is embedded in the image acquisition device of the video monitoring point for performing video image quality diagnosis on the image collected by the image acquisition device.
  • the video image quality diagnosis module is embedded in the front-end device, which avoids the large-scale transmission of image data required for video image quality diagnosis in the network red, does not increase bandwidth consumption for the existing video surveillance network system, and requires images for video image quality diagnosis. Data uncompressed image data improves diagnostic accuracy.
  • FIG. 11 is a network topology diagram of the video image quality diagnosis system, and the video image quality diagnosis module is embedded in a network camera and various digital hard disk recorders (Digital Vedio) Recorder (referred to as "DVR”) or digital video server (Digital Vedio Server, “DVS”) and other image data acquisition devices.
  • DVR Digital Vedio
  • DVD Digital Vedio Server
  • the network camera is embedded with the video image quality diagnostic module, and the analog camera embeds the video image quality diagnostic module into the connected DVR, DVS, and other image data acquisition devices.
  • the monitoring software only needs to call the interface function to get the result of the video image quality diagnosis.
  • the method collects uncompressed image data to perform video image quality diagnosis on the device, improves the diagnostic accuracy, and avoids large-scale transmission of image data required for video image diagnosis in the network, and the existing video monitoring network system No increase in bandwidth consumption.
  • the first, second, and third embodiments are embodiments corresponding to the present embodiment, and the present embodiment can be implemented in cooperation with the first, second, and third embodiments.
  • the related technical details mentioned in the first, second, and third embodiments are still effective in the present embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related art details mentioned in the present embodiment can also be applied to the first, second, and third embodiments.
  • each module mentioned in each system embodiment of the present invention is a logic module.
  • a logic module may be a physical module, a part of a physical module, or multiple physical entities.
  • the combined implementation of modules, the physical implementation of these logic modules themselves is not the most important, the combination of the functions implemented by these logic modules is the key to solving the technical problems raised by the present invention.
  • the above various system embodiments of the present invention do not introduce modules that are not closely related to solving the technical problem proposed by the present invention, which does not indicate that the above system implementation does not exist in other embodiments. Module.
  • FIG. 12 is a schematic flow chart of the video image quality diagnosis method.
  • the video image quality diagnosis method includes the following steps:
  • step 1201 the polling host polls each video monitoring point to obtain a video code stream.
  • the video monitoring point refers to a camera installed at the monitoring site.
  • the polling host can poll each video monitoring point through a digital hard disk recorder, and can also poll each video monitoring point by other means.
  • step 1201 the time period for polling the host to poll each video monitoring point is 10 seconds or more.
  • the polling time period is 10 seconds or more, and the video stream obtained during the polling period is enough for the video image quality diagnosis server to complete a diagnosis.
  • the polling host scans the obtained video code stream and sends the video code stream to the video image quality diagnosis server.
  • the video image quality diagnosis server performs video image quality diagnosis on the received video stream.
  • step 1203 the following steps may also be included:
  • step 1204 the video image quality diagnostic system returns the diagnostic results to the monitoring software of the polling host.
  • step 1205 the polling preview ends and the polling host gives a diagnosis result.
  • the polling host obtains the code stream from each video monitoring point through the software to poll and view the video picture, and obtains the code stream, and sends the same code stream to the video image quality diagnosis server for diagnosis through the diagnosis private network, without reconnection.
  • the monitoring device performs streaming, and this part of the code stream transmission does not occupy the bandwidth of the video monitoring network.
  • This embodiment is a method embodiment corresponding to the first embodiment, and the present embodiment can be implemented in cooperation with the first embodiment.
  • the related technical details mentioned in the first embodiment are still effective in the present embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related art details mentioned in the present embodiment can also be applied to the first embodiment.
  • FIG. 13 is a schematic flow chart of the video image quality diagnosis method.
  • the video image quality diagnosis method includes the following steps:
  • step 1301 the polling host polls each video monitoring point to obtain a video code stream.
  • the polling host previews the obtained video code stream, intercepts the preview interface, and divides the screen of the screen capture to obtain a picture corresponding to each video monitoring point, and sends the obtained picture.
  • the polling host previews the obtained video code stream, intercepts the preview interface, and divides the screen of the screen capture to obtain a picture corresponding to each video monitoring point, and sends the obtained picture.
  • the video image quality diagnosis server performs video image quality diagnosis on the received picture.
  • the polling host polls the video monitoring points to view the video screen, screens the software interface, and divides the screen of the screen capture, and then sends the image to the video image quality diagnosis server for diagnosis through the diagnostic private network, further reducing Diagnosing the bandwidth consumption of the private network avoids the complexity of the video image quality diagnosis server processing various packages and various codes, and improves the stability of the video image quality diagnosis server.
  • This embodiment is a method embodiment corresponding to the second embodiment, and the present embodiment can be implemented in cooperation with the second embodiment.
  • the related technical details mentioned in the second embodiment are still effective in the present embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related art details mentioned in the present embodiment can also be applied to the second embodiment.
  • FIG. 14 is a schematic flow chart of the video image quality diagnosis method.
  • the polling host and the video image quality diagnostic server are located in the same network, and the overall bandwidth of the network is limited.
  • the video image quality diagnosis method includes the following steps:
  • step 1401 the polling host polls each video monitoring point to obtain a video code stream.
  • step 1402 the polling host previews the obtained video code stream, and saves the polling video corresponding to the monitoring point.
  • the polling host transmits the saved polling video to the video image quality diagnostic server during the network use trough period.
  • the video image quality diagnostic server performs video image quality diagnosis on the received polling video.
  • the non-real-time video image quality diagnosis method utilizes the peak-to-valley period of network bandwidth usage and rationally uses the bandwidth, which can significantly reduce the bandwidth usage during the peak period of network usage, and achieve the video image quality diagnosis result in a non-real time.
  • step 1402 the following sub-steps may also be included:
  • the polling host previews the obtained video stream, and screens the preview interface, and divides the screen of the screen to obtain a picture corresponding to each video monitoring point, and saves the obtained picture.
  • the bandwidth consumption of the diagnostic private network can be further reduced, the complexity of the video image quality diagnosis server processing various packages and codes is avoided, and the stability of the video image quality diagnosis server is improved.
  • This embodiment is a method embodiment corresponding to the third embodiment, and the present embodiment can be implemented in cooperation with the third embodiment.
  • the related technical details mentioned in the third embodiment are still effective in the present embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related art details mentioned in the present embodiment can also be applied to the third embodiment.
  • the method embodiments of the present invention can all be implemented in software, hardware, firmware, and the like. Regardless of whether the invention is implemented in software, hardware, or firmware, the instruction code can be stored in any type of computer-accessible memory (eg, permanent or modifiable, volatile or non-volatile, solid state Or non-solid, fixed or replaceable media, etc.).
  • the instruction code can be stored in any type of computer-accessible memory (eg, permanent or modifiable, volatile or non-volatile, solid state Or non-solid, fixed or replaceable media, etc.).
  • the memory can be, for example, a programmable array logic (Programmable) Array Logic ("PAL” for short), Random Access Memory (“RAM”) Programmable Read Only Memory (“PROM”), read-only memory (Read-Only) Memory, referred to as "ROM”), electrically erasable programmable read-only memory (Electrically Erasable Programmable) ROM, referred to as "EEPROM”), magnetic disk, optical disk, Digital Versatile Disc (“DVD”) and so on.
  • PAL programmable array logic
  • RAM Random Access Memory
  • PROM Programmable Read Only Memory
  • ROM Read-Only Memory
  • EEPROM electrically erasable programmable read-only memory
  • magnetic disk magnetic disk
  • optical disk optical disk
  • DVD Digital Versatile Disc

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Abstract

本发明涉及视频监控应用技术领域，公开了一种视频图像质量诊断系统及其方法。本发明中，在视频监控系统的基础上，将视频图像质量诊断系统以诊断专网的方式融入视频监控系统，有效地降低了视频监控系统的带宽消耗和监控设备的连接端口消耗。轮询主机通过软件对各视频监控点进行轮询查看视频画面，获取到码流的同时，通过诊断专网，把同样的码流发送给视频图像质量诊断服务器进行诊断，而且该部分码流传输不占用视频监控网络的带宽。轮询主机对各视频监控点进行轮询查看视频画面的同时，对软件界面进行截屏，并对截屏的图片进行分割，然后通过诊断专网把图片发送给视频图像质量诊断服务器进行诊断，进一步降低了诊断专网的带宽消耗。

Description

视频图像质量诊断系统及其方法 技术领域
本发明涉及视频监控应用技术领域，特别涉及视频图像质量诊断技术。
背景技术
与本发明最接近的现有技术中，有一篇申请号为 201010536519.3 ，发明名称为《视频图像智能诊断系统及方法》的中国专利申请。该专利申请方案涉及一种视频图像智能诊断系统，包括：视频数据接入接口，用于接入各个监控点传送的实时视频图像；智能图像分析单元，用于以轮询的方式对实时视频图像进行智能分析；异常现象标准比较单元，用于与各种视频图像的异常现象的标准单元分别进行比对，来判断视频图像质量；故障告警单元，用于在判断存在问题时，生成视频图像故障告警信息，并通知到系统管理员。
现有技术中，未将视频监控系统和视频图像诊断系统统一考虑，孤立地设计了视频图像诊断系统。视频监控系统本身需要对各监控点进行取码流轮询查看视频，视频图像诊断系统也同样的对各监控点进行取码流轮询进行图像诊断。也就是说，现有技术的视频图像诊断系统会导致更大的带宽消耗以及监控点设备的连接端口消耗。
 技术问题
本发明的目的在于提供一种视频图像质量诊断系统及其方法，有效地降低了视频监控系统的带宽消耗和监控设备的连接端口消耗。
技术解决方案
为解决上述技术问题，本发明的实施方式公开了一种视频图像质量诊断系统，包括：视频监控系统和视频图像质量诊断服务器；
在视频监控系统中包括至少两个视频监控点和至少一个轮询主机；
轮询主机用于对各视频监控点进行轮询，获取视频码流，进行视频预览，同时将所获取到的视频码流发送给视频图像质量诊断服务器；
视频图像质量诊断服务器用于对收到的视频码流进行视频图像质量诊断。
本发明的实施方式还公开了一种视频图像质量诊断系统，包括：视频监控系统和视频图像质量诊断服务器；
在视频监控系统中包括至少两个视频监控点和至少一个轮询主机；
轮询主机用于对各视频监控点进行轮询，获取视频码流，进行视频预览，同时将预览界面进行截屏，并对截屏的图片进行分割，获得对应各视频监控点的图片，并将所获得的图片发送给视频图像质量诊断服务器；
视频图像质量诊断服务器用于对收到的图片进行视频图像质量诊断。
本发明的实施方式还公开了一种视频图像质量诊断系统，包括：视频监控系统和视频图像质量诊断服务器；
在视频监控系统中包括至少两个视频监控点和至少一个轮询主机；
轮询主机用于对各视频监控点进行轮询，获取视频码流，进行视频预览，并保存对应监控点的轮询录像，在网络使用低谷期将所保存的轮询录像发送给视频图像质量诊断服务器；
视频图像质量诊断服务器用于对收到的轮询录像进行视频图像质量诊断。
本发明的实施方式还公开了一种视频图像质量诊断系统，包括：视频监控系统和视频图像质量诊断模块；
在视频监控系统中包括至少两个视频监控点和至少一个轮询主机；
轮询主机用于对各视频监控点进行轮询，获取视频码流，进行视频预览；
视频图像质量诊断模块嵌入到视频监控点的图像采集设备上，用于对图像采集设备采集到的图像进行视频图像质量诊断。
本发明的实施方式还公开了一种视频图像质量诊断方法，包括以下步骤：
轮询主机对各视频监控点进行轮询，获取视频码流；
轮询主机对获取到的视频码流进行预览的同时，将该视频码流发送给视频图像质量诊断服务器；
视频图像质量诊断服务器对收到的视频码流进行视频图像质量诊断。
本发明的实施方式还公开了一种视频图像质量诊断方法，包括以下步骤：
轮询主机对各视频监控点进行轮询，获取视频码流；
轮询主机对获取到的视频码流进行预览的同时，将预览界面进行截屏，并对截屏的图片进行分割，获得对应各视频监控点的图片，并将所获得的图片发送给视频图像质量诊断服务器;
视频图像质量诊断服务器对收到的图片进行视频图像质量诊断。
本发明的实施方式还公开了一种视频图像质量诊断方法，包括以下步骤：
轮询主机对各视频监控点进行轮询，获取视频码流；
轮询主机对获取到的视频码流进行预览，并保存对应监控点的轮询录像；
在网络使用低谷期，轮询主机将所保存的轮询录像发送给视频图像质量诊断服务器；
视频图像质量诊断服务器对收到的轮询录像进行视频图像质量诊断。
 有益效果
本发明实施方式与现有技术相比，主要区别及其效果在于：
在视频监控系统的基础上，将视频图像质量诊断系统以诊断专网的方式融入视频监控系统，有效地降低了视频监控系统的带宽消耗和监控设备的连接端口消耗。
轮询主机对各视频监控点进行轮询查看视频画面的同时，对软件界面进行截屏，并对截屏的图片进行分割，然后通过诊断专网把图片发送给视频图像质量诊断服务器进行诊断，进一步降低了诊断专网的带宽消耗，避免了视频图像质量诊断服务器处理各种封装和各种编码的复杂性，提高了视频图像质量诊断服务器的稳定性。
非实时的视频图像质量诊断系统，利用网络带宽使用的峰谷期，合理使用带宽，可以明显地减少网络使用高峰期的带宽使用，非实时地达到视频图像质量诊断结果。
将视频图像质量诊断模块嵌入到前端设备，避免了视频图像质量诊断需要的图像数据在网络红的大规模传输，对已有的视频监控网络系统没有增加带宽消耗，而且视频图像质量诊断需要的图像数据无压缩的图像数据，提高了诊断准确率。
轮询主机通过软件向各视频监控点获取码流进行轮询查看视频画面，获取到码流的同时，通过诊断专网，把同样的码流发送给视频图像质量诊断服务器进行诊断，无需再次连接监控设备进行取流，而且这部分码流传输不占用视频监控网络的带宽。
进一步地，轮询主机采用双网卡，分别连接视频监控网络和诊断专网，在将码流发送给视频图像质量诊断服务器进行诊断时，这部分码流传输不占用视频监控网络的带宽。
进一步地，轮询的时间段在10秒或20秒以上，轮询时间段内获取到的视频码流足够让视频图像质量诊断服务器完成一次诊断。
进一步地，使用图片诊断的方法，可以进一步降低诊断专网的带宽消耗，避免了视频图像质量诊断服务器处理各种封装和编码的复杂性，提高了视频图像质量诊断服务器的稳定性。
 附图说明
图1是本发明第一实施方式中一种视频图像质量诊断系统的结构示意图；
图2是本发明第一实施方式中一种视频图像质量诊断系统的网络拓扑图；
图3是本发明第二实施方式中一种视频图像质量诊断系统的结构示意图；
图4是本发明第二实施方式中一种视频图像质量诊断系统中轮询主机预览界面示意图；
图5是本发明第二实施方式中一种视频图像质量诊断系统中轮询主机预览界面的截屏图片切割出每路预览窗口对应的图片的示意图；
图6是本发明第二实施方式中每路轮询预览窗口对应的图片序列送入视频图像质量诊断服务器进行诊断的示意图；
图7是本发明第三实施方式中一种视频图像质量诊断系统的结构示意图；
图8是本发明第三实施方式中一种视频图像质量诊断系统的网络拓扑图；
图9是本发明第三实施方式中一种视频图像质量诊断系统的网络拓扑图；
图10是本发明第四实施方式中一种视频图像质量诊断系统的结构示意图；
图11是本发明第四实施方式中一种视频图像质量诊断系统的网络拓扑图；
图12是本发明第五实施方式中一种视频图像质量诊断方法的流程示意图；
图13是本发明第六实施方式中一种视频图像质量诊断方法的流程示意图；
图14是本发明第七实施方式中一种视频图像质量诊断方法的流程示意图。
 本发明的最佳实施方式
在以下的叙述中，为了使读者更好地理解本申请而提出了许多技术细节。但是，本领域的普通技术人员可以理解，即使没有这些技术细节和基于以下各实施方式的种种变化和修改，也可以实现本申请各权利要求所要求保护的技术方案。
为使本发明的目的、技术方案和优点更加清楚，下面将结合附图对本发明的实施方式作进一步地详细描述。
本发明第一实施方式涉及一种视频图像质量诊断系统。图1是该视频图像质量诊断系统的结构示意图。
具体地说，如图1所示，该视频图像质量诊断系统包括：
视频监控系统和视频图像质量诊断服务器。
在视频监控系统中包括至少两个视频监控点和至少一个轮询主机。
轮询主机用于对各视频监控点进行轮询，获取视频码流，进行视频预览，同时将所获取到的视频码流发送给视频图像质量诊断服务器。
轮询主机采用双网卡，分别连接视频监控点和视频图像质量诊断服务器。
此外，可以理解，轮询主机与各前段和后端设备的连接网络成为视频监控网络。与视频图像质量诊断服务器以及视频图像质量诊断相关的网络服务器和数据库服务器等连接网络称为诊断专网。
轮询主机采用双网卡，分别连接视频监控网络和诊断专网，在将码流发送给视频图像质量诊断服务器进行诊断时，这部分码流传输不占用视频监控网络的带宽。
这只是本发明的一种优选的实施方式，在本发明的其他某些实施方式中，轮询主机也可以不采用双网卡的技术，例如可以是，将轮询主机和视频图像质量诊断服务器置于同一个高速局域网中，这样，轮询主机将视频码流发送给视频图像质量诊断服务器的时候，同样也不占用视频监控系统的带宽，不影响视频监控的质量。
视频图像质量诊断服务器用于对收到的视频码流进行视频图像质量诊断。
在视频监控系统的基础上，将视频图像质量诊断系统以诊断专网的方式融入视频监控系统，有效地降低了视频监控系统的带宽消耗和监控设备的连接端口消耗。
综上所述，本方案提出了一种在视频监控系统下，降低带宽及监控点设备连接端口消耗的视频图像质量诊断系统，其网络拓扑图如图2所示。
视频监控系统中，会有一个或多个轮询主机用于轮询查看视频画面。本方案中，采用双网卡电脑作为轮询主机，轮询主机与各前端、后端设备的连接网络称为视频监控网络；与视频图像质量诊断服务器以及视频图像质量诊断相关的网络服务器、数据库服务器等连接网络称为诊断专网。
在视频监控网络中，轮询主机通过软件向各监控获取码流进行轮询查看视频画面，获取到码流同时，通过诊断专网，把同样的码流发送给视频图像质量诊断服务器进行诊断，无需再次连接监控设备进行取流，而且这部分码流传输不占用视频监控网络的带宽。现有视频监控系统中，轮询的时间段基本上都在10秒或20秒以上，轮询间隔获取到的码流足够让视频图像质量诊断服务器完成一次诊断。
本发明第二实施方式涉及一种视频图像质量诊断系统。图3是该视频图像质量诊断系统的结构示意图。
具体地说，如图3所示，该视频图像质量诊断系统包括：
视频监控系统和视频图像质量诊断服务器。
在视频监控系统中包括至少两个视频监控点和至少一个轮询主机。
轮询主机用于对各视频监控点进行轮询，获取视频码流，进行视频预览，同时将预览界面进行截屏，并对截屏的图片进行分割，获得对应各视频监控点的图片，并将所获得的图片发送给视频图像质量诊断服务器。
视频图像质量诊断服务器用于对收到的图片进行视频图像质量诊断。
轮询主机对各视频监控点进行轮询查看视频画面的同时，对软件界面进行截屏，并对截屏的图片进行分割，然后通过诊断专网把图片发送给视频图像质量诊断服务器进行诊断，进一步降低了诊断专网的带宽消耗，避免了视频图像质量诊断服务器处理各种封装和各种编码的复杂性，提高了视频图像质量诊断服务器的稳定性。
在视频监控网络中，轮询主机通过软件向各监控获取码流进行轮询查看视频画面，同时，对软件界面进行截屏，然后对截屏的图片进行分割，获得对应单路视频的图片，然后通过诊断专网，把一张或多张图片发送给视频图像质量诊断服务器进行诊断。
下面举例说明本系统的工作过程。我们假定监控软件进行四路视频的轮询预览，当然，四路只是优选，也可以是其它的路数。图4是轮询主机的显示屏幕示意图，黑色边框代表软件界面，区域1、2、3和4分别代表四路轮询视频的预览窗口区域，监控软件可以分别给出每块区域在显示屏幕坐标系中的位置。然后通过操作系统的函数对显示屏幕进行截屏操作，如图5所示，根据之前得到的每块区域的坐标，对显示屏幕的截屏图片进行切割，可以获得每块轮询预览窗口所在位置的图片。如此多次操作，可以获得一路轮询视频在轮询期间内的图片序列，见图6所示，每路轮询视频对应的图片序列送入视频图像质量诊断服务器诊断，返回结果。图6中所示，1-1代表第一路视频的第一张图片，1-2代表第一路视频的第二张图片，1-3代表第一路视频的第三张图片，2-1代表第二路视频的第一张图片，2-2代表第二路视频的第二张图片……其它的依次类推。同时，监控软件本身已知每路轮询视频对应的监控点信息包括设备IP和通道号等，可以把诊断结果直接和监控点关联，监控软件可以把诊断信息用于显示、报警和记录等操作。
本实施方式在第一实施方式的基础上，进一步降低诊断专网的带宽消耗，而且由于此时视频图像质量诊断只需要对图片进行诊断，避免了为了兼容视频监控系统中各种封装、各种编码码流带来的复杂度，提高了视频图像质量诊断服务器的稳定性。
第一实施方式是与本实施方式相对应的实施方式，本实施方式可与第一实施方式互相配合实施。第一实施方式中提到的相关技术细节在本实施方式中依然有效，为了减少重复，这里不再赘述。相应地，本实施方式中提到的相关技术细节也可应用在第一实施方式中。
本发明第三实施方式涉及一种视频图像质量诊断系统。图7是该视频图像质量诊断系统的结构示意图。
具体地说，如图7所示，该视频图像质量诊断系统包括：
视频监控系统和视频图像质量诊断服务器。
在视频监控系统中包括至少两个视频监控点和至少一个轮询主机。
轮询主机用于对各视频监控点进行轮询，获取视频码流，进行视频预览，并保存对应监控点的轮询录像，在网络使用低谷期将所保存的轮询录像发送给视频图像质量诊断服务器。
视频图像质量诊断服务器用于对收到的轮询录像进行视频图像质量诊断。
并且，轮询主机和视频图像质量诊断服务器位于同一网络中，并且该网络整体带宽受限，其网络拓扑图如图8所示，轮询主机和视频图像质量诊断服务器在同一网络，该网络整体带宽受限。
图9是该视频图像质量诊断系统的另一种网络拓扑图，和图2所示的网络拓扑一致，但是视频监控网络与诊断专网之间的网络带宽受限。
图8和图9所示的两种情况，在网络使用高峰期，都无法进行实时的视频图像质量诊断，但由于任何一个架构设计都会保障轮询主机上视频轮询的合理进行，基于该前提，本方案提出的非实时的视频图像质量诊断系统工作步骤如下：
1、网络使用高峰期，比如白天工作时间，使用轮询主机进行合理路数的视频轮询，并保存对应监控点的轮询录像。如轮询周期20秒，则每个监控点保存20秒的录像；
2、在网络使用低谷期，比如晚上和非工作时间，轮询主机把保存的轮询录像发送给视频图像质量诊断服务器，或者视频图像质量诊断服务器主动向轮询主机获取轮询录像；
3、视频图像质量诊断服务器对收到的数据进行诊断，反馈结果，达到非实时执行视频图像质量诊断的目的；
4、也可使用前述方案中，使用图片诊断的方法，进行非实时的视频图像质量诊断目的。
非实时的视频图像质量诊断系统，利用网络带宽使用的峰谷期，合理使用带宽，可以明显地减少网络使用高峰期的带宽使用，非实时地达到视频图像质量诊断结果。
第一和第二实施方式是与本实施方式相对应的实施方式，本实施方式可与第一和第二实施方式互相配合实施。第一和第二实施方式中提到的相关技术细节在本实施方式中依然有效，为了减少重复，这里不再赘述。相应地，本实施方式中提到的相关技术细节也可应用在第一和第二实施方式中。
本发明第四实施方式涉及一种视频图像质量诊断系统。图10是该视频图像质量诊断系统的结构示意图。
具体地说，如图10所示，该视频图像质量诊断系统包括：
视频监控系统和视频图像质量诊断模块。
在视频监控系统中包括至少两个视频监控点和至少一个轮询主机。
轮询主机用于对各视频监控点进行轮询，获取视频码流，进行视频预览。
视频图像质量诊断模块嵌入到视频监控点的图像采集设备上，用于对图像采集设备采集到的图像进行视频图像质量诊断。
将视频图像质量诊断模块嵌入到前端设备，避免了视频图像质量诊断需要的图像数据在网络红的大规模传输，对已有的视频监控网络系统没有增加带宽消耗，而且视频图像质量诊断需要的图像数据无压缩的图像数据，提高了诊断准确率。
图11是该视频图像质量诊断系统的网络拓扑图，视频图像质量诊断模块嵌入到网络摄像机、各种数字硬盘录像机（Digital Vedio Recorder，简称“DVR”）或者数字视频服务器（Digital Vedio Server，简称“DVS”）及其它图像数据采集设备上。
网络摄像机嵌入视频图像质量诊断模块，模拟摄像机则将视频图像质量诊断模块嵌入到与之相连的DVR，DVS，以及其它图像数据采集设备上。监控软件只需要调用接口函数就可以获取视频图像质量诊断的结果。本方法采集无压缩的图像数据在设备上进行视频图像质量诊断，提高了诊断准确率，同时避免了由于视频图像诊断需要的图像数据在网络中的大规模传输，对已有的视频监控网络系统没有增加带宽消耗。
第一、第二和第三实施方式是与本实施方式相对应的实施方式，本实施方式可与第一、第二和第三实施方式互相配合实施。第一、第二和第三实施方式中提到的相关技术细节在本实施方式中依然有效，为了减少重复，这里不再赘述。相应地，本实施方式中提到的相关技术细节也可应用在第一、第二和第三实施方式中。
需要说明的是，本发明各系统实施方式中提到的各模块都是逻辑模块，在物理上，一个逻辑模块可以是一个物理模块，也可以是一个物理模块的一部分，还可以以多个物理模块的组合实现，这些逻辑模块本身的物理实现方式并不是最重要的，这些逻辑模块所实现的功能的组合才是解决本发明所提出的技术问题的关键。此外，为了突出本发明的创新部分，本发明上述各系统实施方式并没有将与解决本发明所提出的技术问题关系不太密切的模块引入，这并不表明上述系统实施方式并不存在其它的模块。
本发明第五实施方式涉及一种视频图像质量诊断方法。图12是该视频图像质量诊断方法的流程示意图。
具体地说，如图12所示，该视频图像质量诊断方法包括以下步骤：
在步骤1201中，轮询主机对各视频监控点进行轮询，获取视频码流。
此外，可以理解，视频监控点是指安装在监控现场的摄像头，轮询主机可以通过数字硬盘录像机对各视频监控点进行轮询，也可以通过其它的方式对各视频监控点进行轮询。
在步骤1201中，轮询主机对各视频监控点进行轮询的时间段在10秒或20秒以上。
轮询的时间段在10秒或20秒以上，轮询时间段内获取到的视频码流足够让视频图像质量诊断服务器完成一次诊断。
此后进入步骤1202，轮询主机对获取到的视频码流进行预览的同时，将该视频码流发送给视频图像质量诊断服务器。
此后进入步骤1203，视频图像质量诊断服务器对收到的视频码流进行视频图像质量诊断。
优选地，在步骤1203之后，还可以包括以下步骤：
在步骤1204中，视频图像质量诊断系统将诊断结果返回轮询主机的监控软件。
此后进入步骤1205，轮询预览结束，轮询主机给出诊断结果。
此后结束本流程。
轮询主机通过软件向各视频监控点获取码流进行轮询查看视频画面，获取到码流的同时，通过诊断专网，把同样的码流发送给视频图像质量诊断服务器进行诊断，无需再次连接监控设备进行取流，而且这部分码流传输不占用视频监控网络的带宽。
本实施方式是与第一实施方式相对应的方法实施方式，本实施方式可与第一实施方式互相配合实施。第一实施方式中提到的相关技术细节在本实施方式中依然有效，为了减少重复，这里不再赘述。相应地，本实施方式中提到的相关技术细节也可应用在第一实施方式中。
本发明第六实施方式涉及一种视频图像质量诊断方法。图13是该视频图像质量诊断方法的流程示意图。
具体地说，如图13所示，该视频图像质量诊断方法包括以下步骤：
在步骤1301中，轮询主机对各视频监控点进行轮询，获取视频码流。
此后进入步骤1302，轮询主机对获取到的视频码流进行预览的同时，将预览界面进行截屏，并对截屏的图片进行分割，获得对应各视频监控点的图片，并将所获得的图片发送给视频图像质量诊断服务器;
此后进入步骤1303，视频图像质量诊断服务器对收到的图片进行视频图像质量诊断。
此后结束本流程。
轮询主机对各视频监控点进行轮询查看视频画面的同时，对软件界面进行截屏，并对截屏的图片进行分割，然后通过诊断专网把图片发送给视频图像质量诊断服务器进行诊断，进一步降低了诊断专网的带宽消耗，避免了视频图像质量诊断服务器处理各种封装和各种编码的复杂性，提高了视频图像质量诊断服务器的稳定性。
本实施方式是与第二实施方式相对应的方法实施方式，本实施方式可与第二实施方式互相配合实施。第二实施方式中提到的相关技术细节在本实施方式中依然有效，为了减少重复，这里不再赘述。相应地，本实施方式中提到的相关技术细节也可应用在第二实施方式中。
本发明第七实施方式涉及一种视频图像质量诊断方法。图14是该视频图像质量诊断方法的流程示意图。
在本实施方式中，轮询主机和视频图像质量诊断服务器位于同一网络中，并且该网络整体带宽受限。
具体地说，如图14所示，该视频图像质量诊断方法包括以下步骤：
在步骤1401中，轮询主机对各视频监控点进行轮询，获取视频码流。
此后进入步骤1402，轮询主机对获取到的视频码流进行预览，并保存对应监控点的轮询录像。
此后进入步骤1403，在网络使用低谷期，轮询主机将所保存的轮询录像发送给视频图像质量诊断服务器。
此后进入步骤1404，视频图像质量诊断服务器对收到的轮询录像进行视频图像质量诊断。
此后结束本流程。
非实时的视频图像质量诊断方法，利用网络带宽使用的峰谷期，合理使用带宽，可以明显地减少网络使用高峰期的带宽使用，非实时地达到视频图像质量诊断结果。
优选地，在步骤1402中，还可以包括以下子步骤：
轮询主机对获取到的视频码流进行预览的同时，将预览界面进行截屏，并对截屏的图片进行分割，获得对应各视频监控点的图片，并将所获得的图片进行保存。
使用图片诊断的方法，可以进一步降低诊断专网的带宽消耗，避免了视频图像质量诊断服务器处理各种封装和编码的复杂性，提高了视频图像质量诊断服务器的稳定性。
本实施方式是与第三实施方式相对应的方法实施方式，本实施方式可与第三实施方式互相配合实施。第三实施方式中提到的相关技术细节在本实施方式中依然有效，为了减少重复，这里不再赘述。相应地，本实施方式中提到的相关技术细节也可应用在第三实施方式中。
本发明的各方法实施方式均可以以软件、硬件、固件等方式实现。不管本发明是以软件、硬件、还是固件方式实现，指令代码都可以存储在任何类型的计算机可访问的存储器中（例如永久的或者可修改的，易失性的或者非易失性的，固态的或者非固态的，固定的或者可更换的介质等等）。同样，存储器可以例如是可编程阵列逻辑（Programmable Array Logic，简称“PAL”） 、随机存取存储器（Random Access Memory，简称“RAM”） 、可编程只读存储器（Programmable Read Only Memory，简称“PROM”） 、只读存储器（Read-Only Memory，简称“ROM”） 、电可擦除可编程只读存储器（Electrically Erasable Programmable ROM，简称“EEPROM”） 、磁盘、光盘、数字通用光盘（Digital Versatile Disc，简称“DVD”）等等。
需要说明的是，在本专利的权利要求和说明书中，诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个”限定的要素，并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。
虽然通过参照本发明的某些优选实施方式，已经对本发明进行了图示和描述，但本领域的普通技术人员应该明白，可以在形式上和细节上对其作各种改变，而不偏离本发明的精神和范围。
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1．一种视频图像质量诊断系统，其特征在于，包括：视频监控系统和视频图像质量诊断服务器；
在所述视频监控系统中包括至少两个视频监控点和至少一个轮询主机；
所述轮询主机用于对各视频监控点进行轮询，获取视频码流，进行视频预览，同时将所获取到的视频码流发送给所述视频图像质量诊断服务器；
所述视频图像质量诊断服务器用于对收到的视频码流进行视频图像质量诊断。
2．根据权利要求1所述的视频图像质量诊断系统，其特征在于，所述轮询主机采用双网卡，分别连接视频监控点和视频图像质量诊断服务器。
3．一种视频图像质量诊断系统，其特征在于，包括：视频监控系统和视频图像质量诊断服务器；
在所述视频监控系统中包括至少两个视频监控点和至少一个轮询主机；
所述轮询主机用于对各视频监控点进行轮询，获取视频码流，进行视频预览，同时将预览界面进行截屏，并对截屏的图片进行分割，获得对应各视频监控点的图片，并将所获得的图片发送给所述视频图像质量诊断服务器；
所述视频图像质量诊断服务器用于对收到的图片进行视频图像质量诊断。
4．一种视频图像质量诊断系统，其特征在于，包括：视频监控系统和视频图像质量诊断服务器；
在所述视频监控系统中包括至少两个视频监控点和至少一个轮询主机；
所述轮询主机用于对各视频监控点进行轮询，获取视频码流，进行视频预览，并保存对应监控点的轮询录像，在网络使用低谷期将所保存的轮询录像发送给所述视频图像质量诊断服务器；
所述视频图像质量诊断服务器用于对收到的轮询录像进行视频图像质量诊断。
5．根据权利要求4所述的视频图像质量诊断系统，其特征在于，所述轮询主机和视频图像质量诊断服务器位于同一网络中，并且该网络整体带宽受限。
6．一种视频图像质量诊断系统，其特征在于，包括：视频监控系统和视频图像质量诊断模块；
在所述视频监控系统中包括至少两个视频监控点和至少一个轮询主机；
所述轮询主机用于对各视频监控点进行轮询，获取视频码流，进行视频预览；
所述视频图像质量诊断模块嵌入到所述视频监控点的图像采集设备上，用于对所述图像采集设备采集到的图像进行视频图像质量诊断。
7．一种视频图像质量诊断方法，其特征在于，包括以下步骤：
轮询主机对各视频监控点进行轮询，获取视频码流；
轮询主机对获取到的视频码流进行预览的同时，将该视频码流发送给视频图像质量诊断服务器；
视频图像质量诊断服务器对收到的视频码流进行视频图像质量诊断。
8．根据权利要求7所述的视频图像质量诊断方法，其特征在于，在所述视频图像质量诊断服务器对收到的视频码流进行视频图像质量诊断的步骤之后，还包括以下步骤：
视频图像质量诊断系统将诊断结果返回轮询主机的监控软件；
轮询预览结束，轮询主机给出诊断结果。
9．根据权利要求8所述的视频图像质量诊断方法，其特征在于，在所述轮询主机对各视频监控点进行轮询的步骤中，轮询的时间段在10秒或20秒以上。
10．一种视频图像质量诊断方法，其特征在于，包括以下步骤：
轮询主机对各视频监控点进行轮询，获取视频码流；
轮询主机对获取到的视频码流进行预览的同时，将预览界面进行截屏，并对截屏的图片进行分割，获得对应各视频监控点的图片，并将所获得的图片发送给所述视频图像质量诊断服务器;
视频图像质量诊断服务器对收到的图片进行视频图像质量诊断。
11．一种视频图像质量诊断方法，其特征在于，包括以下步骤：
轮询主机对各视频监控点进行轮询，获取视频码流；
轮询主机对获取到的视频码流进行预览，并保存对应监控点的轮询录像；
在网络使用低谷期，轮询主机将所保存的轮询录像发送给视频图像质量诊断服务器；
视频图像质量诊断服务器对收到的轮询录像进行视频图像质量诊断。
12．根据权利要求11所述的视频图像质量诊断方法，其特征在于，所述轮询主机和视频图像质量诊断服务器位于同一网络中，并且该网络整体带宽受限。
13．根据权利要求12所述的视频图像质量诊断方法，其特征在于，在所述轮询主机对获取到的视频码流进行预览，并保存对应监控点的轮询录像的步骤中，包括以下子步骤：
轮询主机对获取到的视频码流进行预览的同时，将预览界面进行截屏，并对截屏的图片进行分割，获得对应各视频监控点的图片，并将所获得的图片进行保存。
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