WO2011127859A2 - 视频数据处理方法、视频图像展示方法和装置 - Google Patents

视频数据处理方法、视频图像展示方法和装置 Download PDF

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Publication number
WO2011127859A2
WO2011127859A2 PCT/CN2011/074224 CN2011074224W WO2011127859A2 WO 2011127859 A2 WO2011127859 A2 WO 2011127859A2 CN 2011074224 W CN2011074224 W CN 2011074224W WO 2011127859 A2 WO2011127859 A2 WO 2011127859A2
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Prior art keywords
video
frame
original video
original
smart
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PCT/CN2011/074224
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English (en)
French (fr)
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WO2011127859A3 (zh
Inventor
宋丙林
李耀辉
孙文敏
王峰
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华为技术有限公司
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Priority to CN201180000541.9A priority Critical patent/CN102204248B/zh
Priority to PCT/CN2011/074224 priority patent/WO2011127859A2/zh
Publication of WO2011127859A2 publication Critical patent/WO2011127859A2/zh
Publication of WO2011127859A3 publication Critical patent/WO2011127859A3/zh

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Definitions

  • Video data processing method, video image display method and device are Video data processing method, video image display method and device
  • the present invention relates to the field of video processing, and more particularly to a video data processing method, a video image display method and apparatus.
  • NVS Network Video System
  • the NVS provided by the prior art has an intelligent analysis module.
  • the main steps of the NVS processing the video include: the intelligent analysis module acquires the video stream; the intelligent analysis module decodes the encoded video stream; and the intelligent analysis module intelligently analyzes the decoded video stream.
  • These intelligent analyses include intrusion detection, line inspection and loss detection.
  • the intelligent analysis module synthesizes the intelligent analysis data with the original data. For example, for intrusion detection, the intelligent analysis module synthesizes the intelligent analysis data with the original data. The result may be a track identifying the path through which the object enters the detected area; the intelligent analysis module re-encoding the synthesized image; the intelligent analysis module outputs the encoded video data, and transmitting the video data to the video monitoring platform for forwarding Or store.
  • the intelligent analysis module synthesizes the intelligently analyzed data with the original data. , and did not take special measures, therefore, the original data could not be recovered from the synthesized image, which would become a big problem in the case where the original image was needed.
  • the original image with watermark it was synthesized by intelligent analysis. After that, the original watermark cannot be preserved because there is a video interface and re-encoding process.
  • Embodiments of the present invention provide a video data processing method, a video image display method, and an apparatus, Ensure the integrity of the original image and improve the performance of the system.
  • An embodiment of the present invention provides a video data processing method, including: acquiring an original video stream; and generating, by using the original video frame, an intelligent analysis frame in which a video identifier is consistent with a video identifier of the original video frame. And the video identifier includes a frame header and/or a timestamp; sending the smart analysis frame to a video monitoring platform, where the smart analysis frame is in a file format and the original video stream directly transmitted to the video monitoring platform is in the The video surveillance platform is separated and stored.
  • An embodiment of the present invention provides a video image display method, including: parsing an acquired smart analysis frame to obtain a video identifier included in the smart analysis frame; and matching the smart analysis frame from the acquired original video stream according to the video identifier. Corresponding original video frame; hierarchically displaying the intelligent analysis layer information included in the smart analysis frame and the video frame information included in the original video frame.
  • An embodiment of the present invention provides a video intelligent analysis apparatus, including: a video stream obtaining module, configured to acquire an original video stream; and a generating module, configured to generate the video identifier and the original video stream according to an original video frame.
  • the smart analysis frame of the video ID of the original video frame is consistent, the video identifier includes a frame header and/or a timestamp, and the sending module is configured to send the smart analysis frame to the video monitoring platform, where the smart analysis frame is in the form of a file.
  • the original video stream that is directly transmitted to the video surveillance platform is stored separately from the video surveillance platform.
  • An embodiment of the present invention provides a video image display apparatus, including: a parsing module, configured to parse the acquired smart analysis frame to obtain a video identifier included in the smart analysis frame; and a matching module, configured to obtain the original according to the video identifier The original video frame corresponding to the smart analysis frame is matched in the video stream; the display module is configured to hierarchically display the smart analysis layer information included in the smart analysis frame and the video frame information included in the original video frame.
  • the embodiment of the present invention provides a video monitoring system, including a video intelligent analyzing device, a video monitoring platform, and a client, where the client includes a video image display device, and the video intelligent analyzing device is configured to acquire an original video stream.
  • the obtained original video stream generates an intelligent analysis frame whose video identifier is consistent with the video identifier of the original video frame, and sends the smart analysis frame to the video monitoring platform, where the smart analysis frame is a file.
  • the original video stream that is directly transmitted to the video monitoring platform is separately stored in the video monitoring platform, where the video identifier includes a frame header and/or a time stamp; and the video monitoring platform is configured to receive a slave video monitor.
  • the system front-end device directly transmits The original video stream is sent, and the smart analysis frame is separately stored in the file form from the original video stream; the video image display device is configured to parse the smart analysis frame obtained from the video monitoring platform.
  • the video identifier included in the smart analysis frame is matched with the original video frame corresponding to the smart analysis frame in the original video stream acquired from the video monitoring platform according to the video identifier, and the intelligent analysis frame included in the smart analysis frame is included
  • the layer information and the video frame information contained in the original video frame are hierarchically displayed.
  • the intelligent analysis module generates the smart analysis frame in which the original video stream is generated in the original video frame and the video identifier is consistent with the video identifier of the original video frame.
  • the video monitoring platform separates the intelligent analysis frame from the original video stream in a file format. Therefore, compared with the prior art, the video data processing method provided by the embodiment of the present invention does not change the original video data, and the integrity of the original video is ensured.
  • the original video watermark is also preserved, which provides real first-hand information for occasions where the original video needs to be called (for example, public security, reconnaissance, etc.), on the other hand, the process of re-encoding the video stream after decoding is omitted. Therefore, the video data processing method provided by the embodiment of the present invention improves the performance of the system as a whole.
  • FIG. 1 is a schematic flowchart of a video data processing method according to an embodiment of the present invention.
  • FIG. 2 is a schematic structural diagram of an intelligent analysis frame according to an embodiment of the present invention.
  • FIG. 3 is a schematic structural diagram of an intelligent analysis file provided by an embodiment of the present invention.
  • FIG. 4 is a schematic flowchart of a video image display method according to an embodiment of the present invention.
  • FIG. 5 is a schematic diagram of a logical structure of a video intelligent analysis apparatus according to an embodiment of the present invention.
  • FIG. 6 is a schematic diagram of a logical structure of a video intelligent analysis apparatus according to another embodiment of the present invention
  • FIG. FIG. 7 is a schematic diagram of a logical structure of a video intelligent analysis apparatus according to another embodiment of the present invention
  • FIG. 8 is a schematic diagram of a logical structure of a video intelligent analysis apparatus according to another embodiment of the present invention
  • FIG. 9 is a video image display according to an embodiment of the present invention. Schematic diagram of the logical structure of the device;
  • FIG. 10 is a schematic diagram of a logical structure of a video image display apparatus according to another embodiment of the present invention
  • FIG. 11 is a schematic diagram of a logical structure of a video monitoring system according to an embodiment of the present invention.
  • Embodiments of the present invention provide a video data processing method, a video image display method and apparatus, to ensure the integrity of an original image and improve system performance.
  • the execution body of the method may be an intelligent analysis module in a video monitoring system, which mainly includes the following steps:
  • the so-called original video stream refers to the video stream after the video data is collected by the front-end device of the video surveillance system.
  • the manner in which the original video stream is acquired is slightly different.
  • the intelligent analysis module obtains the original video stream from the front-end device;
  • the intelligent analysis module is integrated in the video monitoring platform, then the front-end device transmits the original video stream to the video monitoring platform through the network, and the intelligent analysis module obtains the original video stream transmitted to the video monitoring platform;
  • the intelligent analysis module is integrated in the NVS client, then The NVS server forwards the front-end original video stream to the NVS client, and the intelligent analysis module obtains the original video stream transmitted to the NVS client.
  • the video identifier may be a frame header and/or a timestamp of a frame.
  • the original video frame has a video identifier including a frame header and/or a timestamp.
  • the intelligent analysis module obtains the original video stream, it first decodes the original video stream and performs intelligent analysis on the decoded video stream, including intrusion detection, line inspection, and lost object detection.
  • the intelligent analysis data generated after intelligent analysis of the original video frame is an intelligent analysis frame, which can be described by using a bitmap or by using a vector diagram.
  • the video stream is calculated in units of frames.
  • the obtained original video stream is generated in units of original video frames
  • the smart analysis frame whose video identifier is consistent with the video identifier of the original video frame is generated.
  • the smart analysis frame may be associated with the original video frame in units of frames by using the video identifier. The effect of the association is that the original video frame may be found according to the video identifier of the smart analysis frame.
  • the associating the smart analysis frame with the original video frame according to the frame as the video identifier may include:
  • intelligent analysis layer information includes traces and wireframes that are generated when the original video frame is intelligently analyzed.
  • the trajectory in the intelligent analysis layer information may be a path through which the identification object enters the detected area, and the wireframe in the intelligent analysis layer information may be regarded as the boundary of the control range.
  • the intelligent analysis layer information also includes other information such as text information, wireframes, and lines generated when the original video frame is intelligently analyzed.
  • Intelligent analysis layers can be described using bitmaps, such as bmp format, jpeg format, and png format. They can also be described using vector graphics, such as svg format and flash format.
  • the frame header and time stamp of a frame of the original video frame are H and TS, respectively
  • the frame header and time stamp of the H and TS can be configured for the intelligent analysis layer information. Since the smart analysis frame contains the configuration The intelligent analysis layer information of the video identification, therefore, the frame header and time stamp of the generated intelligent analysis frame are also H and TS respectively.
  • description information can also be added for the intelligent analysis layer information.
  • the description information is a description of each intelligent analysis frame, which can be an event such as a recorded event, an alarm event, and other descriptive information, such as motion detection or video loss, and an index into which the description information can be used for searching.
  • FIG. 2 is a schematic diagram showing the structure of an intelligent analysis frame provided by an embodiment of the present invention (shown in a solid line diagram). Obviously, the difference between the intelligent analysis frame and the original video frame (shown in the dashed line) is that the intelligent analysis frame is The encoded video data is not included. Therefore, the video data processing method provided by the embodiment of the present invention does not destroy the video data included in the original video frame.
  • the intelligent analysis module sends the intelligent analysis frame to the video monitoring platform in units of frames.
  • intelligent analysis layer information peripheral analysis layer information may contain several frames of intelligent analysis frames
  • the intelligent analysis layer information is stored as an intelligent analysis file.
  • FIG. 3 it is a schematic structural diagram (shown in a solid line diagram) of an intelligent analysis file stored in a video monitoring platform according to an embodiment of the present invention.
  • the smart analysis files include device information (for example, an ID of a lens), a segment.
  • intelligent analysis of layer information and so on are intelligent analysis of layer information and so on.
  • the original video stream can be transmitted directly from the headend device to the video surveillance platform over the network.
  • the smart analysis frame is separately stored in the file form and the original video stream directly transmitted to the video monitoring platform on the video monitoring platform, that is, in the video.
  • the monitoring platform, these video files containing the original video stream (as shown in the dashed line in Figure 3) and the smart analysis files are two or two different files, which are stored separately.
  • smart points The device information in the file, the start time and the end time of the video are respectively the same as the device information in the video file, the start time of the video, and the end time thereof.
  • the intelligent analysis module generates the smart analysis frame in which the original video stream is generated in the original video frame and the video identifier is consistent with the video identifier of the original video frame.
  • the video monitoring platform separates the intelligent analysis frame in a file form from the original video frame (stored in the form of a video file). Therefore, compared with the prior art, the video data processing method provided by the embodiment of the present invention does not change the original video data, and the integrity of the original video is ensured.
  • the original video watermark is also preserved, which provides real first-hand information for occasions where the original video needs to be called (for example, public security, surveillance, etc.), on the other hand, the process of re-encoding the video stream after decoding is omitted. Therefore, the video data processing method provided by the embodiment of the present invention improves the performance of the system as a whole.
  • FIG. 4 it is a schematic flowchart of a video image display method according to an embodiment of the present invention.
  • the execution body of the method may be a function module in a client or a client in a video surveillance system, and the method includes the following steps:
  • the client obtains an intelligent analysis frame from the video monitoring platform through the network.
  • the smart analysis frame is composed of adding video identifiers for the smart analysis layer information, including the frame header and the time stamp, and the like. After the client obtains the smart analysis frame, the smart analysis frame is parsed to obtain the video identifier contained therein.
  • the client can also obtain the original video stream from the video monitoring platform through the network, and then decode the original video stream.
  • the client parses out intelligent analysis layer data from the intelligent analysis frame, and obtains frame header, timestamp information, description information, and intelligent analysis layer information (including wireframes, tracks, etc.), and then The intelligent analysis layer information is decoded into YUV image data, and then the matched video YUV image data is searched according to the frame header and the time stamp information, that is, the original video frame corresponding to the obtained intelligent analysis frame is matched and acquired according to the video identifier from the acquired original video stream. .
  • the smart analysis layer information may be displayed on the upper layer of the layer, and the video frame information may be displayed on the lower layer of the layer, that is, the video overlay mixer may be used (for example, DirectShow VMR: Video Mixer Renderer)
  • the video overlay mixer may be used (for example, DirectShow VMR: Video Mixer Renderer)
  • the YUV data of the original video frame and the YUV data of the intelligent analysis layer are superimposed, and the YUV image data obtained by decoding the intelligent analysis layer information is displayed on the upper layer of the layer, and the YUV image data obtained by decoding the original video stream is displayed in the image.
  • the lower layer of the layer is used
  • the description information of the original video frame by the user may also be received.
  • the user may add description information (text, connection, etc.) to each frame of the original video frame data, and the description information will be recorded into the "description information" field in the smart analysis frame information, and the description information may be used as The keyword for video retrieval.
  • the original video frame corresponding to the smart analysis frame is matched from the acquired original video stream according to the video identifier, and the smart analysis layer information included in the smart analysis frame and the original video frame are included.
  • Video frame information is displayed hierarchically. Therefore, the video image display method provided by the embodiment of the present invention can conveniently display the intelligent analysis layer, and can also display the analysis content added by the user, which can make the video display form richer.
  • FIG. 5 it is a schematic diagram of a logical structure of a video intelligent analysis apparatus according to an embodiment of the present invention.
  • the call control device illustrated in FIG. 5 may be an intelligent analysis module in a video monitoring system, which may be integrated into a front end device, The video monitoring platform or the client, etc., may also be an entity independent of these devices, and the function modules/units included therein may be software modules/units, hardware modules/units or a combination of hardware and software modules/units, including a video stream acquisition module.
  • a video stream obtaining module 501 configured to acquire an original video stream
  • the generating module 502 is configured to generate, according to the original video frame, the smart analysis frame whose video identifier is consistent with the video identifier of the original video frame, where the video identifier includes a frame header and/or a timestamp. ;
  • the sending module 503 is configured to send the smart analysis frame to the video monitoring platform, where the smart analysis frame is separately stored in the file form and the original video stream directly transmitted to the video monitoring platform.
  • each functional module is merely an example, and the actual application may be performed according to requirements, such as configuration requirements of corresponding hardware or convenience of implementation of software.
  • the assignment is done by different functional modules, ie the internal structure of the video intelligent analysis device is divided into different functional modules to perform all or part of the functions described above.
  • the corresponding functional modules in this embodiment may be implemented by corresponding hardware, or may be executed by corresponding hardware.
  • the foregoing video stream obtaining module may have the foregoing implementation.
  • the hardware of the original video stream may also be a general processor or other hardware device capable of executing a corresponding computer program to perform the foregoing functions; and the generating module as described above may be configured to perform the foregoing acquisition.
  • the original video stream generates hardware of a smart analysis frame function whose video identifier is consistent with the video identifier of the original video frame in units of original video frames, such as a generator, or a general processor capable of executing a corresponding computer program to perform the foregoing functions. Or other hardware devices.
  • the generating module 502 of the example of FIG. 5 may include a frame association sub-module 601, such as the video intelligent analysis apparatus provided by another embodiment of the present invention as shown in FIG. a frame association submodule 601, configured to pass the video
  • the identifier is associated with the original video frame in units of frames.
  • the frame association sub-module 601 of the example of FIG. 6 may further include an intelligent analysis layer information generating unit 701 and an identification configuration unit 702, such as the video intelligent analysis apparatus provided by another embodiment of the present invention, as shown in FIG.
  • the intelligent analysis layer information generating unit 701 is configured to perform intelligent analysis on the original video frame to generate intelligent analysis layer information, where the intelligent analysis layer information includes a track generated when the original video frame is intelligently analyzed.
  • the identifier configuration unit 702 is configured to configure a video identifier for the smart analysis layer information, where the configured video identifier is consistent with the video identifier of the original video frame, and the smart analysis frame includes the smart configured with the video identifier Analyze layer information.
  • the frame association sub-module 601 of the example of FIG. 6 may further include a description information adding unit 801, such as the video intelligent analysis apparatus provided by another embodiment of the present invention shown in FIG.
  • the description information adding unit 801 is configured to add description information for the smart analysis layer information, the description information including a recording event and an alarm event.
  • FIG. 9 is a schematic diagram showing the logical structure of a video image display apparatus according to an embodiment of the present invention.
  • the video image display device of the example of FIG. 9 may be a client in the video surveillance system or a function module in the client, which includes a parsing module 901, a matching module 902, and a display module 903, where:
  • the parsing module 901 is configured to parse the acquired smart analysis frame to obtain a video identifier included in the smart analysis frame.
  • the matching module 902 is configured to match an original video frame corresponding to the smart analysis frame from the acquired original video stream according to the video identifier;
  • the display module 903 is configured to hierarchically display the smart analysis layer information included in the smart analysis frame and the video frame information included in the original video frame.
  • the display module 903 includes a decoding unit 9031. And a superimposing unit 9032, wherein the decoding unit 9031 is configured to decode the original video stream and the smart analysis layer information included in the smart analysis frame into YUV image data; and a superimposing unit 9032, configured to use the YUV image data Superimposed, the YUV image data obtained by decoding the intelligent analysis layer information is displayed on an upper layer of the layer, and the YUV image data obtained by decoding the original video stream is displayed in a lower layer of the layer.
  • the video image display apparatus of the example of FIG. 9 may further include a receiving module 1001, such as the video image display apparatus provided by another embodiment of the present invention as shown in FIG.
  • the receiving module 1001 is configured to receive description information of the original video frame by the user.
  • FIG. 11 is a schematic diagram of a logical structure of a video monitoring system according to an embodiment of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown.
  • the video surveillance system illustrated in FIG. 11 includes a video surveillance platform 1102, a video intelligent analysis device 1101 and a client 1103 of any of the examples of FIG. 5 to FIG. 8, and the client 1103 includes the video image of the example of FIG. 9 or FIG. Display device, wherein:
  • the video intelligence analysis device 1101 is configured to acquire an original video stream, and generate the smart analysis frame that is consistent with the video identifier of the original video frame by using the acquired original video stream in units of original video frames, and send the intelligent analysis.
  • the frame is sent to the video monitoring platform 1102, and the smart analysis frame is stored in a file format separately from the original video stream directly transmitted to the video monitoring platform 1102, where the video identifier includes a frame header and / or timestamp;
  • the video monitoring platform 1102 is configured to receive the original video stream directly transmitted from the video monitoring system front end device and the smart analysis frame transmitted from the video intelligent analysis device 1101, and the smart analysis frame is in the form of a file and the original Video stream is divided into thousands of stores;
  • a video image display device configured to parse the smart analysis frame acquired from the video monitoring platform 1102, and obtain a video identifier included in the smart analysis frame, and match the original video stream acquired from the video monitoring platform 1102 according to the video identifier.
  • the program may be stored in a computer readable storage medium, and the storage medium may include: Read Only Memory (ROM), Random Access Memory (RAM), disk or optical disk.
  • ROM Read Only Memory
  • RAM Random Access Memory

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Abstract

本发明实施例提供视频数据处理方法、视频图像展示方法和装置,以保证原始图像的完整性和提高系统的性能。所述视频数据处理方法包括如下步骤:获取原始视频流;将所述获取的原始视频流按照原始视频为单位生成视频标识与所述原始视频帧的视频标识一致的智能分析帧;发送所述智能分析帧至视频监控平台。与现有技术相比,本发明实施例提供的视频数据处理方法没有改变原始视频数据,保证了原始视频的完整性,也保留了原始视频的水印,这些都为需要调用原始视频的场合提供了真实的一手资料,另一方面,由于省去了对视频流解码之后又重新编码的过程,本发明实施例提供的视频数据处理方法整体上提高了系统的性能。

Description

视频数据处理方法、 视频图像展示方法和装置 技术领域
本发明涉及视频处理领域, 尤其涉及视频数据处理方法、视频图像展示方 法和装置。
背景技术
网络视频监控系统(Network Video System, NVS )是以数字信号处理为 基石出,采用网络化的方式实现信号的传输、 交换、控制、录像存储和点播回放, 并通过设立强大的中心业务平台,实现对系统内所有编解码设备及录像存储设 备进行统一管理与集中控制的系统。
现有技术提供的 NVS具有一个智能分析模块, NVS处理视频的主要步骤包 括: 智能分析模块获取视频流; 智能分析模块将编码后的视频流解码; 智能分 析模块对解码后的视频流进行智能分析, 这些智能分析包括入侵检测、拌线检 查和遗失物检测等; 智能分析模块将智能分析的数据与原始数据合成, 例如, 对入侵检测而言,智能分析模块将智能分析的数据与原始数据合成的结果可以 是一条轨迹, 标识物体进入被检测区域所经过的路径; 智能分析模块对合成的 图像重新编码; 智能分析模块输出编码后的视频数据,将该视频数据传输到视 频监控平台用于转发或者存储。
从上述现有技术提供的 NVS可知, 由于存在对编码后的视频流解码之后 又重新编码的过程, 系统性能损耗过大; 另一方面, 智能分析模块在将智能分 析的数据与原始数据合成时, 并没有采取特别的措施, 因此, 无法从合成的图 像中恢复出原始数据, 这在需要原始图像的场合会成为一个较大的问题,特别 地, 对于有水印的原始图像, 经智能分析合成后, 因为会存在视频界面和重新 编码的过程, 因此无法保留原始水印。
发明内容
本发明实施例提供一种视频数据处理方法、视频图像展示方法和装置, 以 保证原始图像的完整性和提高系统的性能。
本发明实施例提供一种视频数据处理方法, 包括: 获取原始视频流; 将所 述获取的原始视频流按照原始视频帧为单位生成视频标识与所述原始视频帧 的视频标识一致的智能分析帧, 所述视频标识包括帧头和 /或时间戳; 发送所 述智能分析帧至视频监控平台,所述智能分析帧以文件形式与直接传输至所述 视频监控平台的所述原始视频流在所述视频监控平台分离存储。
本发明实施例提供一种视频图像展示方法, 包括: 解析获取的智能分析帧 得到所述智能分析帧包含的视频标识;按照所述视频标识从获取的原始视频流 中匹配与所述智能分析帧对应的原始视频帧;将所述智能分析帧包含的智能分 析图层信息和所述原始视频帧包含的视频帧信息分层显示。
本发明实施例提供一种视频智能分析装置, 包括: 视频流获取模块, 用于 获取原始视频流; 生成模块, 用于将所述获取的原始视频流按照原始视频帧为 单位生成视频标识与所述原始视频帧的视频标识一致的智能分析帧,所述视频 标识包括帧头和 /或时间戳; 发送模块, 用于发送所述智能分析帧至视频监控 平台,所述智能分析帧以文件形式与直接传输至所述视频监控平台的所述原始 视频流在所述视频监控平台分离存储。
本发明实施例提供一种视频图像展示装置, 包括: 解析模块, 用于解析获 取的智能分析帧得到所述智能分析帧包含的视频标识; 匹配模块, 用于按照所 述视频标识从获取的原始视频流中匹配与所述智能分析帧对应的原始视频帧; 显示模块,用于将所述智能分析帧包含的智能分析图层信息和所述原始视频帧 包含的视频帧信息分层显示。
本发明实施例提供一种视频监控系统, 包括视频智能分析装置、视频监控 平台和客户端, 所述客户端包括视频图像展示装置; 所述视频智能分析装置, 用于获取原始视频流,将所述获取的原始视频流按照原始视频帧为单位生成视 频标识与所述原始视频帧的视频标识一致的智能分析帧,发送所述智能分析帧 至所述视频监控平台,所述智能分析帧以文件形式与直接传输至所述视频监控 平台的所述原始视频流在所述视频监控平台分离存储,所述视频标识包括帧头 和 /或时间戳; 所述视频监控平台, 用于接收从视频监控系统前端设备直接传 输过来的所述原始视频流,将所述智能分析帧以文件形式与所述原始视频流分 离存储; 所述视频图像展示装置, 用于解析从所述视频监控平台获取的智能分 析帧得到所述智能分析帧包含的视频标识,按照所述视频标识从所述视频监控 平台获取的原始视频流中匹配与所述智能分析帧对应的原始视频帧,将所述智 能分析帧包含的智能分析图层信息和所述原始视频帧包含的视频帧信息分层 显示。
从上述本发明实施例可知,由于智能分析模块将获取的原始视频流按照原 始视频帧为单位生成了视频标识与该原始视频帧的视频标识一致的智能分析 帧,在将这些智能分析帧传输至视频监控平台后,视频监控平台将该智能分析 帧以文件形式与原始视频流是分离存储的。 因此, 与现有技术将智能分析的数 据与原始数据合成得到合成的视频数据相比,本发明实施例提供的视频数据处 理方法没有改变原始视频数据, 一方面, 保证了原始视频的完整性, 也保留了 原始视频的水印, 这些都为需要调用原始视频的场合(譬如, 公安、 侦查等) 提供了真实的一手资料, 另一方面, 由于省去了对视频流解码之后又重新编码 的过程, 因此, 本发明实施例提供的视频数据处理方法整体上提高了系统的性 能。
附图说明
为了更清楚地说明本发明实施例的技术方案,下面将对现有技术或实施例 描述中所需要使用的附图作筒单地介绍,显而易见地, 下面描述中的附图仅仅 是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动 性的前提下, 还可以如这些附图获得其他的附图。
图 1是本发明实施例提供的视频数据处理方法流程示意图;
图 2是本发明实施例提供的智能分析帧结构示意图;
图 3是本发明实施例提供的智能分析文件结构示意图;
图 4是本发明实施例提供的视频图像展示方法流程示意图;
图 5是本发明实施例提供的视频智能分析装置逻辑结构示意图;
图 6是本发明另一实施例提供的视频智能分析装置逻辑结构示意图; 图 7是本发明另一实施例提供的视频智能分析装置逻辑结构示意图; 图 8是本发明另一实施例提供的视频智能分析装置逻辑结构示意图; 图 9是本发明实施例提供的视频图像展示装置逻辑结构示意图;
图 10是本发明另一实施例提供的视频图像展示装置逻辑结构示意图; 图 11是本发明实施例提供的一种视频监控系统逻辑结构示意图。
具体实施方式
本发明实施例提供了一种视频数据处理方法、 视频图像展示方法和装置, 以保证原始图像的完整性和提高系统的性能。
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清 楚、 完整地描述, 显然, 所描述的实施例仅仅是本发明一部分实施例, 而不是 全部的实施例。基于本发明中的实施例, 本领域普通技术人员在没有做出创造 性劳动前提下所获得的所有其他实施例, 都属于本发明保护的范围。
请参阅附图 1 , 是本发明实施例提供的视频数据处理方法流程示意图, 该 方法的执行主体可以是视频监控系统中的智能分析模块, 主要包括步骤:
5101 , 获取原始视频流。
所谓原始视频流,是指视频监控系统的前端设备采集视频数据经过编码后 视频流。 在本发明实施例中, 如果智能分析模块所处位置的不同, 其获取原始 视频流的方式略有差异。 例如, 若智能分析模块和前端设备, 例如, 网络视频 服务器 /硬盘录像机 (DVS/DVR , Digital Video Server /Digital Video Recorder)集 成在一起, 那么智能分析模块是从前端设备中获取原始视频流; 若智能分析模 块集成在视频监控平台中,那么前端设备将原始视频流经过网络传输到视频监 控平台, 智能分析模块获取传输至视频监控平台的原始视频流; 若智能分析模 块集成在 NVS客户端, 那么 NVS服务器将前端原始视频流转发至 NVS客户端, 智能分析模块获取传输至 NVS客户端的原始视频流。
5102,将所述获取的原始视频流按照原始视频帧为单位生成视频标识与所 述原始视频帧的视频标识一致的智能分析帧。
在本发明实施例中, 视频标识可以是一个帧的帧头和 /或时间戳, 例如, 原始视频帧具有包括帧头和 /或时间戳的视频标识。 智能分析模块获取原始视 频流后,首先将这些原始视频流进行解码,并对解码后的视频流进行智能分析, 这些智能分析包括入侵检测、拌线检查和遗失物检测等等。对原始视频帧进行 智能分析后产生的智能分析数据就是智能分析帧, 可以使用点阵图描述,也可 以使用矢量图描述。 由于可以以帧为单位计算视频流, 在本发明实施例中, 将 获取的原始视频流按照原始视频帧为单位生成视频标识与原始视频帧的视频 标识一致的智能分析帧。 具体地, 可以通过所述视频标识, 将智能分析帧按照 帧为单位与所述原始视频帧关联, 这种关联的作用在于, 可以根据智能分析帧 的视频标识查找到原始视频帧。通过所述视频标识,将智能分析帧按照帧为单 位与所述原始视频帧关联具体可以包括:
51021 , 对原始视频帧进行智能分析, 生成智能分析图层信息;
这些智能分析图层信息包括对原始视频帧进行智能分析时产生的轨迹和 线框。 对于某些智能分析的方法, 例如, 入侵检测, 智能分析图层信息中的轨 迹可以是标识物体进入被检测区域所经过的路径,而智能分析图层信息中的线 框可以认为 控范围的边界。智能分析图层信息还包括对原始视频帧进行智 能分析时产生的文字信息、线框和线条等其它信息。 智能分析图层可以使用点 阵图描述, 例如, bmp格式、 jpeg格式和 png格式等, 也可以使用矢量图描述, 例如, svg格式和 flash格式等。
51022, 为智能分析图层信息配置视频标识, 所述配置的视频标识与所述 原始视频帧的视频标识一致。
例如, 若有一帧原始视频帧的帧头和时间戳分别为 H和 TS , 则可以为智 能分析图层信息配置 H和 TS的帧头和时间戳。 由于智能分析帧包含所述配置 了视频标识的智能分析图层信息, 因此, 生成的智能分析帧的帧头和时间戳也 分别为 H和 TS 。
进一步地,还可以为智能分析图层信息添加描述信息。描述信息是对每一 个智能分析帧的说明, 可以为记录事件、 告警事件, 以及其他描述信息等等, 例如, 移动侦测或视频丢失等事件, 描述信息可以被用于搜索的索引。
附图 2给出了本发明实施例提供的智能分析帧结构示意图 (实线图所示), 显然, 智能分析帧与原始视频帧(虚线图所示)的不同之处还在于, 智能分析 帧并不包含编码后的视频数据, 因此, 本发明实施例提供的视频数据处理方法 并没有破坏原始视频帧包含的视频数据。
S103 , 发送智能分析帧至视频监控平台。
智能分析模块以帧为单位将智能分析帧发送至视频监控平台。在视频监控 平台, 每一个摄像头、 每一段时间的智能分析图层信息(智能分析图层信息可 能包含若干帧智能分析帧)将会存储为一个智能分析文件, 例如, 按照每个镜 头每小时的智能分析图层信息存储为一个智能分析文件。 如附图 3所示, 是本 发明实施例提供的存储在视频监控平台的智能分析文件的结构示意图(实线图 所示), 这些智能分析文件包括设备信息(例如, 镜头的 ID )、 一段视频的开始 时刻及其结束时刻和智能分析帧信息, 其中, 智能分析帧信息就是附图 2实线 所示的智能分析帧所示的内容, 包括智能分析帧的帧头、 时间戳、 描述信息和 智能分析图层信息等。
原始视频流可以通过网络从前端设备直接传输至视频监控平台。与现有技 术不同的是, 本发明实施例中, 所述智能分析帧以文件形式与直接传输至所述 视频监控平台的所述原始视频流在所述视频监控平台分离存储, 即,在视频监 控平台, 这些包含原始视频流的视频文件(如附图 3虚线图所示)和智能分析 文件是不同的两种或两个文件, 它们各自分离存储。 对于同一段视频, 智能分 析文件中的设备信息、该段视频的开始时刻及其结束时刻分别与视频文件中的 设备信息、 该段视频的开始时刻及其结束时刻对应相同。
从上述本发明实施例可知,由于智能分析模块将获取的原始视频流按照原 始视频帧为单位生成了视频标识与该原始视频帧的视频标识一致的智能分析 帧,在将这些智能分析帧传输至视频监控平台后,视频监控平台将该智能分析 帧以文件形式与原始视频帧(以视频文件形式存储)是分离存储的。 因此, 与 现有技术将智能分析的数据与原始数据合成得到合成的视频数据相比,本发明 实施例提供的视频数据处理方法没有改变原始视频数据,一方面,保证了原始 视频的完整性,也保留了原始视频的水印, 这些都为需要调用原始视频的场合 (譬如, 公安、 侦查等)提供了真实的一手资料, 另一方面, 由于省去了对视 频流解码之后又重新编码的过程, 因此, 本发明实施例提供的视频数据处理方 法整体上提高了系统的性能。
请参阅附图 4, 是本发明实施例提供的视频图像展示方法流程示意图, 该 方法的执行主体可以是视频监控系统中的客户端或客户端中的功能模块,主要 包括步骤:
5401 , 解析获取的智能分析帧得到智能分析帧包含的视频标识。
在本发明实施例中,客户端通过网络从视频监控平台获取智能分析帧。如 前述实施例所述, 智能分析帧由为智能分析图层信息添加视频标识构成, 这些 视频标识包括帧头和时间戳等等。客户端获取了智能分析帧后,解析智能分析 帧就可以得到其中包含的视频标识。
5402,按照视频标识从获取的原始视频流中匹配与智能分析帧对应的原始 视频帧。
由于视频监控平台存储了原始视频流, 因此, 在本发明实施例中, 客户端 也可以通过网络从视频监控平台获取原始视频流,然后将这些原始视频流解码 为 YUV图像数据; 另一方面, 客户端从智能分析帧解析出智能分析图层数据, 获取帧头、 时间戳信息、 描述信息和智能分析图层信息 (包括线框、 轨迹等), 然后把智能分析图层信息解码为 YUV图像数据, 再根据帧头和时间戳信息查 找匹配的视频 YUV图像数据即, 按照视频标识从获取的原始视频流中匹配与 获取的智能分析帧对应的原始视频帧。
S403,将智能分析帧包含的智能分析图层信息和原始视频帧包含的视频帧 信息分层显示。
在本发明实施例中, 可以将智能分析图层信息显示在图层的上层,将视频 帧信息显示在图层的下层, 即可以通过视频叠加混合器 (例如, DirectShow的 VMR: Video Mixer Renderer)将原始视频帧的 YUV数据和智能分析图层的 YUV 数据叠加, 使所述智能分析图层信息解码所得 YUV图像数据显示在图层的上 层, 所述原始视频流解码所得 YUV图像数据显示在图层的下层。
在本发明另一实施例中,还可以接收用户对原始视频帧的描述信息。例如, 用户在观看视频时, 可以针对每一帧原始视频帧数据添加描述信息 (文本、 连 接等), 描述信息将被记录到智能分析帧信息中的 "描述信息" 字段, 这些描 述信息可以作为视频检索的关键字。
从上述本发明实施例可知,由于可以按照视频标识从获取的原始视频流中 匹配与智能分析帧对应的原始视频帧, 并且,将智能分析帧包含的智能分析图 层信息和原始视频帧包含的视频帧信息分层显示。 因此,本发明实施例提供的 视频图像展示方法能够方便地展示智能分析图层,也能够展示用户添加的分析 内容, 可以使视频的展现形式更加丰富。
请参阅附图 5 , 是本发明实施例提供的一种视频智能分析装置逻辑结构示 意图。 为了便于说明, 仅仅示出了与本发明实施例相关的部分。 附图 5示例的 呼叫控制装置可以是视频监控系统中的智能分析模块, 可以集成于前端设备、 视频监控平台或客户端等,也可以是独立于这些设备的实体, 其包含的功能模 块 /单元可以是软件模块 /单元、硬件模块 /单元或软硬件相结合模块 /单元, 包括 视频流获取模块 501、 生成模块 502和传输模块 503 , 其中:
视频流获取模块 501 , 用于获取原始视频流;
生成模块 502, 用于将所述获取的原始视频流按照原始视频帧为单位生成 视频标识与所述原始视频帧的视频标识一致的智能分析帧,所述视频标识包括 帧头和 /或时间戳;
发送模块 503 , 用于发送所述智能分析帧至视频监控平台, 所述智能分析 帧以文件形式与直接传输至所述视频监控平台的所述原始视频流在所述视频 监控平台分离存储。
需要说明的是, 以上视频智能分析装置的实施方式中,各功能模块的划分 仅是举例说明, 实际应用中可以根据需要, 例如相应硬件的配置要求或者软件 的实现的便利考虑, 而将上述功能分配由不同的功能模块完成, 即将所述视频 智能分析装置的内部结构划分成不同的功能模块,以完成以上描述的全部或者 部分功能。 而且, 实际应用中, 本实施例中的相应的功能模块可以是由相应的 硬件实现, 也可以由相应的硬件执行相应的软件完成, 例如, 前述的视频流获 取模块, 可以是具有执行前述获取原始视频流的硬件, 例如视频流获取器, 也 可以是能够执行相应计算机程序从而完成前述功能的一般处理器或者其他硬 件设备; 再如前述的生成模块, 可以是具有执行前述将所述获取的原始视频流 按照原始视频帧为单位生成视频标识与所述原始视频帧的视频标识一致的智 能分析帧功能的硬件,如生成器,也可以是能够执行相应计算机程序从而完成 前述功能的一般处理器或者其他硬件设备。
附图 5示例的生成模块 502可以包括帧关联子模块 601 ,如附图 6所示本发明 另一实施例提供的视频智能分析装置。 帧关联子模块 601 , 用于通过所述视频 标识, 将智能分析帧按照帧为单位与所述原始视频帧关联。
附图 6示例的帧关联子模块 601可以进一步包括智能分析图层信息生成单 元 701和标识配置单元 702, 如附图 7所示本发明另一实施例提供的视频智能分 析装置, 其中:
智能分析图层信息生成单元 701 , 用于对所述原始视频帧进行智能分析, 生成智能分析图层信息,所述智能分析图层信息包括对所述原始视频帧进行智 能分析时产生的轨迹和线框;
标识配置单元 702, 用于为所述智能分析图层信息配置视频标识, 所述配 置的视频标识与所述原始视频帧的视频标识一致,所述智能分析帧包含所述配 置了视频标识的智能分析图层信息。
附图 6示例的帧关联子模块 601可以进一步包括描述信息添加单元 801 , 如 附图 8所示本发明另一实施例提供的视频智能分析装置。描述信息添加单元 801 用于为所述智能分析图层信息添加描述信息,所述描述信息包括记录事件和告 警事件。
请参阅附图 9, 是本发明实施例提供的一种视频图像展示装置逻辑结构示 意图。 为了便于说明, 仅仅示出了与本发明实施例相关的部分。 附图 9示例的 视频图像展示装置可以是视频监控系统中的客户端或者是客户端中的某个功 能模块, 其包括解析模块 901、 匹配模块 902和显示模块 903 , 其中:
解析模块 901 , 用于解析获取的智能分析帧得到所述智能分析帧包含的视 频标识;
匹配模块 902, 用于按照所述视频标识从获取的原始视频流中匹配与所述 智能分析帧对应的原始视频帧;
显示模块 903 , 用于将所述智能分析帧包含的智能分析图层信息和所述原 始视频帧包含的视频帧信息分层显示。具体地,显示模块 903包括解码单元 9031 和叠加单元 9032, 其中, 解码单元 9031 , 用于将所述原始视频流和所述智能分 析帧包含的智能分析图层信息解码为 YUV图像数据; 叠加单元 9032, 用于将 所述 YUV图像数据叠加, 使所述智能分析图层信息解码所得 YUV图像数据显 示在图层的上层, 所述原始视频流解码所得 YUV图像数据显示在图层的下层。
附图 9示例的视频图像展示装置还可以包括接收模块 1001 , 如附图 10所示 本发明另一实施例提供的视频图像展示装置。接收模块 1001用于接收用户对原 始视频帧的描述信息。
请参阅附图 11 , 是本发明实施例提供的一种视频监控系统逻辑结构示意 图。 为了便于说明, 仅仅示出了与本发明实施例相关的部分。 附图 11示例的视 频监控系统包括视频监控平台 1102、附图 5至附图 8任一示例的视频智能分析装 置 1101和客户端 1103 , 客户端 1103包括附图 9或附图 10示例的视频图像展示装 置, 其中:
视频智能分析装置 1101 , 用于获取原始视频流, 将所述获取的原始视频流 按照原始视频帧为单位生成视频标识与所述原始视频帧的视频标识一致的智 能分析帧, 发送所述智能分析帧至所述视频监控平台 1102, 所述智能分析帧以 文件形式与直接传输至所述视频监控平台 1102的所述原始视频流在所述视频 监控平台分离存储, 所述视频标识包括帧头和 /或时间戳;
视频监控平台 1102,用于接收从视频监控系统前端设备直接传输过来的所 述原始视频流和从视频智能分析装置 1101传送过来的智能分析帧,将所述智能 分析帧以文件形式与所述原始视频流分萬存储;
视频图像展示装置,用于解析从所述视频监控平台 1102获取的智能分析帧 得到所述智能分析帧包含的视频标识,按照所述视频标识从所述视频监控平台 1102获取的原始视频流中匹配与所述智能分析帧对应的原始视频帧,将所述智 能分析帧包含的智能分析图层信息和所述原始视频帧包含的视频帧信息分层 显示。
需要说明的是, 上述装置各模块 /单元之间的信息交互、 执行过程等内容, 由于与本发明方法实施例基于同一构思,其带来的技术效果与本发明方法实施 例相同, 具体内容可参见本发明方法实施例中的叙述, 此处不再赘述。
本领域普通技术人员可以理解上述实施例的各种方法中的全部或部分步 骤是可以通过程序来指令相关的硬件来完成,该程序可以存储于一计算机可读 存储介质中, 存储介质可以包括: 只读存储器(ROM, Read Only Memory ) 、 随机存取存储器(RAM, Random Access Memory ) 、 磁盘或光盘等。
以上对本发明实施例提供的视频数据处理方法、视频图像展示方法和装置 进行了详细介绍,本文中应用了具体个例对本发明的原理及实施方式进行了阐 述, 以上实施例的说明只是用于帮助理解本发明的方法及其核心思想; 同时, 对于本领域的一般技术人员,依据本发明的思想,在具体实施方式及应用范围 上均会有改变之处, 综上所述, 本说明书内容不应理解为对本发明的限制。

Claims

权 利 要 求
1、 一种视频数据处理方法, 其特征在于, 所述方法包括:
获取原始视频流;
将所述获取的原始视频流按照原始视频帧为单位生成视频标识与所述原 始视频帧的视频标识一致的智能分析帧, 所述视频标识包括帧头和 /或时间戳; 发送所述智能分析帧至视频监控平台,所述智能分析帧以文件形式与直接 传输至所述视频监控平台的所述原始视频流在所述视频监控平台分离存储。
2、 如权利要求 1所述的方法, 其特征在于, 所述将所述获取的原始视频流 按照原始视频帧为单位生成视频标识与所述原始视频帧的视频标识一致的智 能分析帧包括:
通过所述视频标识, 将智能分析帧按照帧为单位与所述原始视频帧关联。
3、 如权利要求 2所述的方法, 其特征在于, 所述通过所述视频标识, 将智 能分析帧按照帧为单位与所述原始视频帧关联具体包括:
对所述原始视频帧进行智能分析, 生成智能分析图层信息, 所述智能分析 图层信息包括对所述原始视频帧进行智能分析时产生的轨迹和线框;
为所述智能分析图层信息配置视频标识,所述配置的视频标识与所述原始 视频帧的视频标识一致;
所述智能分析帧包含所述配置了视频标识的智能分析图层信息。
4、 如权利要求 3所述的方法, 其特征在于, 所述为所述智能分析图层信息 配置视频标识的同时还包括:
为所述智能分析图层信息添加描述信息,所述描述信息包括记录事件和告 警事件。
5、 一种视频图像展示方法, 其特征在于, 所述方法包括:
解析获取的智能分析帧得到所述智能分析帧包含的视频标识;
按照所述视频标识从获取的原始视频流中匹配与所述智能分析帧对应的 原始视频帧;
将所述智能分析帧包含的智能分析图层信息和所述原始视频帧包含的视 频帧信息分层显示。
6、 如权利要求 5所述的方法, 其特征在于, 所述将所述智能分析帧包含的 智能分析图层信息和所述原始视频帧包含的视频帧信息分层显示为:
将所述原始视频流和所述智能分析帧包含的智能分析图层信息解码为 YUV图像数据;
将所述 YUV图像数据叠加, 使所述智能分析图层信息解码所得 YUV图像 数据显示在图层的上层, 所述原始视频流解码所得 YUV图像数据显示在图层 的下层。
7、 如权利要求 5所述的方法, 其特征在于, 所述方法还包括:
接收用户对所述原始视频帧的描述信息。
8、 一种视频智能分析装置, 其特征在于, 所述装置包括:
视频流获取模块, 用于获取原始视频流;
生成模块,用于将所述获取的原始视频流按照原始视频帧为单位生成视频 标识与所述原始视频帧的视频标识一致的智能分析帧,所述视频标识包括帧头 和 /或时间戳;
发送模块, 用于发送所述智能分析帧至视频监控平台, 所述智能分析帧以 文件形式与直接传输至所述视频监控平台的所述原始视频流在所述视频监控 平台分离存储。
9、 如权利要求 8所述的装置, 其特征在于, 所述生成模块包括: 帧关联子模块, 用于通过所述视频标识,将智能分析帧按照帧为单位与所 述原始视频帧关联。
10、 如权利要求 9所述的装置, 其特征在于, 所述帧关联子模块包括: 智能分析图层信息生成单元, 用于对所述原始视频帧进行智能分析, 生成 智能分析图层信息,所述智能分析图层信息包括对所述原始视频帧进行智能分 析时产生的轨迹和线框;
标识配置单元, 用于为所述智能分析图层信息配置视频标识, 所述配置的 视频标识与所述原始视频帧的视频标识一致;
所述智能分析帧包含所述配置了视频标识的智能分析图层信息。
11、 如权利要求 10所述的装置, 其特征在于, 所述帧关联子模块还包括: 描述信息添加单元, 用于为所述智能分析图层信息添加描述信息, 所述描 述信息包括记录事件和告警事件。
12、 一种视频图像展示装置, 其特征在于, 所述装置包括:
解析模块,用于解析获取的智能分析帧得到所述智能分析帧包含的视频标 识;
匹配模块,用于按照所述视频标识从获取的原始视频流中匹配与所述智能 分析帧对应的原始视频帧;
显示模块,用于将所述智能分析帧包含的智能分析图层信息和所述原始视 频帧包含的视频帧信息分层显示。
13、 如权利要求 12所述的装置, 其特征在于, 所述显示模块包括: 解码单元,用于将所述原始视频流和所述智能分析帧包含的智能分析图层 信息解码为 YUV图像数据;
叠加单元, 用于将所述 YUV图像数据叠加, 使所述智能分析图层信息解 码所得 YUV图像数据显示在图层的上层, 所述原始视频流解码所得 YUV图像 数据显示在图层的下层。
14、 如权利要求 12所述的装置, 其特征在于, 所述装置还包括: 接收模块, 用于接收用户对所述原始视频帧的描述信息。
15、 一种视频监控系统, 其特征在于, 所述系统包括视频智能分析装置、 视频监控平台和客户端, 所述客户端包括视频图像展示装置;
所述视频智能分析装置, 用于获取原始视频流,将所述获取的原始视频流 按照原始视频帧为单位生成视频标识与所述原始视频帧的视频标识一致的智 能分析帧,发送所述智能分析帧至所述视频监控平台,所述智能分析帧以文件 形式与直接传输至所述视频监控平台的所述原始视频流在所述视频监控平台 分离存储, 所述视频标识包括帧头和 /或时间戳;
所述视频监控平台,用于接收从视频监控系统前端设备直接传输过来的所 述原始视频流, 将所述智能分析帧以文件形式与所述原始视频流分离存储; 所述视频图像展示装置,用于解析从所述视频监控平台获取的智能分析帧 得到所述智能分析帧包含的视频标识,按照所述视频标识从所述视频监控平台 获取的原始视频流中匹配与所述智能分析帧对应的原始视频帧,将所述智能 析帧包含的智能分析图层信息和所述原始视频帧包含的视频帧信息分层显示。
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