WO2016184314A1 - Dispositif et procédé permettant d'établir des informations d'image vidéo structurées - Google Patents

Dispositif et procédé permettant d'établir des informations d'image vidéo structurées Download PDF

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Publication number
WO2016184314A1
WO2016184314A1 PCT/CN2016/081149 CN2016081149W WO2016184314A1 WO 2016184314 A1 WO2016184314 A1 WO 2016184314A1 CN 2016081149 W CN2016081149 W CN 2016081149W WO 2016184314 A1 WO2016184314 A1 WO 2016184314A1
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information
file
structured
video image
video
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PCT/CN2016/081149
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English (en)
Chinese (zh)
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杜晓通
王伟
邢大天
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山东大学
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/5866—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10—File systems; File servers
    • G06F16/13—File access structures, e.g. distributed indices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/7867—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, title and artist information, manually generated time, location and usage information, user ratings

Definitions

  • the present invention relates to the field of video image information processing technologies, and in particular, to an apparatus and method for constructing structured video image information.
  • the video information intelligent analysis technology is derived from computer vision technology and pattern recognition technology, which can establish a one-to-one mapping relationship between image and image content description, so that the computer can understand the specific content in the video image through digital image analysis. . It is an important means of mining valuable things from massive video and image resources.
  • the main algorithms of intelligent video analysis technology to realize real-time detection, recognition and multi-target tracking of mobile targets are divided into the following five categories: target detection, target tracking, target recognition, behavior analysis, content-based video retrieval and data fusion. Wait.
  • the object of the present invention is to solve the above problems, and an apparatus and method for constructing structured video image information are proposed.
  • the information collected by a plurality of different sensors is integrated.
  • text description information is created for the video image, and the retrieval speed and utilization efficiency of the video image are improved.
  • An apparatus for constructing structured video image information comprising: a CCD/CMOS image sensor module, a wireless sensor network receiving module, a video processor, a CPU processor, an information fusion module, and an Ethernet/WiFi interface;
  • the CCD/CMOS image sensor module is connected to a video processor, and the wireless sensor network receiving module is connected to the CPU processor, and the outputs of the video processor and the CPU processor are respectively connected to the information fusion module, and the information fusion module and the Ethernet Network/WiFi interface connection;
  • the video processor is used to complete the encoding function of the video image
  • the wireless sensor network receiving module is used to complete the text description information or the binary data receiving or directly connect the temperature, humidity, illuminance, pressure standard sensor, digitize the analog information; and the video image information Conformed with other data to form structured video image information.
  • the wireless sensor network module uses the ISM frequency band for data transmission, and has a standard sensor input interface, and supports 0-5v, 0-10v standard sensor signal access.
  • the apparatus of the present invention provides support for accomplishing the structuring of video image information, wherein the method of constructing structured video image information includes a method of constructing a structured JPEG image file and a method of constructing structured video information by describing a file. And based on the structured video image information, the storage and retrieval methods are optimized.
  • a method of constructing a structured video image information device comprising:
  • the specific method of the step (1) is:
  • the original unstructured JPEG image file is constructed into a structured JPEG.
  • File image information + text information. The text information part needs to be decrypted and displayed during parsing, and the image is not affected at all.
  • the tag code consists of two bytes.
  • the previous byte is fixed at 0xFF to indicate the start of the tag code.
  • the different values of the latter byte represent different meanings.
  • the file is parsed from 0xFFD8, and the end of 0xFFD9 parsing ends.
  • the specific method of the step (2) is:
  • the description file and the video file are associated as two parts of the structured information, and a corresponding description file is created for the video file of each time period to supplement the text of the single video image;
  • the sensor data or manually input text information is fused, and the packet length, video stream data packet, other information length, and other information are combined into a new data packet for transmission.
  • the method for storing the structured JPEG image file is:
  • segmentation or sub-folder storage according to the content of the text information.
  • the method for storing the structured video image information is:
  • An index file is constructed for each field of the description file in the structured video image information, and the index file is divided into several levels, and the received text information is stored according to the content of the corresponding level.
  • the method for searching the structured JPEG image file is:
  • the text information length is obtained by parsing the JPEG file data, and then all the text information is extracted according to the length, and compared with the search condition, if the search condition is met, the JPEG file is the image file we are looking for, otherwise it is performed. The comparison of the next file.
  • the method for searching the structured video image information is:
  • Search from the storage directory enter the corresponding first-level search directory, view the index files of all levels to select the qualified directory, put it into the search queue, and obtain the next-level search file from the search queue after the search directory of the level is completed.
  • the path is searched until the corresponding description file location is retrieved; after the description file is retrieved, the corresponding video file is obtained.
  • the device for constructing structured video image information in the invention can first realize the functions of capturing, encoding and transmitting video and images of a conventional camera, and is fully compatible with existing cameras conforming to international standards. On this basis, by adding new device modules and structured information processing algorithms, it is possible to use the other information (text description, standard sensor data) to create explicit description information for videos and images on the video and image information collection end. .
  • the invention attaches text information (generally sensor information) to a JPEG file to make it a new file with a sensor information label.
  • the sensor information can describe the specific environment information when the JPEG image file is taken, and can make the JPEG file better. Reproduce the scene when shooting. Since the invention does not destroy the structure and content of the original JPEG file, it does not prevent the existing software from reading and displaying the JPEG file, and also protects the security of the sensor information and prevents tampering by the existing software.
  • FIG. 1 is a structural diagram of an apparatus for constructing structured video image information according to the present invention
  • FIG. 2 is a schematic diagram of structured JPEG image information according to the present invention.
  • FIG. 3 is a schematic diagram showing the macroscopic angle of structured video information according to the present invention.
  • FIG. 4 is a schematic diagram of a microscopic angle of structured video information according to the present invention.
  • FIG. 5 is a schematic diagram of storing a picture file according to the present invention.
  • FIG. 6 is a schematic diagram of storing a multi-index video file according to the present invention.
  • FIG. 7 is a video image file retrieval process of the present invention.
  • the device structure for constructing structured video image information in the present invention is as shown in FIG. 1, and includes: a CCD/CMOS image sensor module, a wireless sensor network receiving module, a video processor, a CPU processor, an information fusion module, and an Ethernet/WiFi interface. ;
  • the CCD/CMOS image sensor module is connected to the video processor, the wireless sensor network receiving module is connected to the CPU processor, the output of the video processor and the CPU processor are respectively connected to the information fusion module, and the information fusion module is connected with the Ethernet/WiFi interface.
  • the device of the invention also designs a wireless sensor network receiving module capable of accepting standard sensors such as text description, temperature, humidity, illumination, pressure and the like.
  • the general video processor (chip) is used to complete the encoding function of the video image
  • the wireless sensor network receiving module is used to complete the text description information or the binary data reception or directly connect the standard sensors such as temperature, humidity, illumination, pressure, etc., and simulate the information. Digitizing.
  • the information structure algorithm of the present invention is implemented on a general purpose CPU, and the video image information is fused with other data to form structured video image information.
  • the video processor supports full HD encoding function, adopts pixel high-definition video and image sensor of 130w or more for video acquisition, and the wireless sensor network module uses ISM frequency band for data transmission, and has a standard sensor input interface and supports 0-5v, 0-10v standard sensor signal access.
  • the video processor is used to complete the encoding function of the video image
  • the wireless sensor network receiving module is used to complete the text description information or the binary data receiving or directly connect the temperature, humidity, illuminance, pressure standard sensor, digitize the analog information; and the video image information It is combined with other data to form structured video image information, and the two types of information are combined and uploaded to the server for processing.
  • the number of sensors is set at the time of fusion to calibrate how many sensors collect new data at this time.
  • the structured information packet format is set as follows:
  • the apparatus of the present invention provides support for accomplishing the structuring of video image information, wherein the method of constructing structured video image information includes a method of constructing a structured JPEG image file and a method of constructing structured video information by describing a file. And based on the structured video image information, the storage and retrieval methods are optimized.
  • a method of constructing a structured video image information device comprising:
  • Figure 2 is a schematic diagram of a JPEG image file structuring method.
  • the information such as text information, standard sensor data, and voice recognition data is encrypted and attached to the original JPEG file, and the original unstructured JPEG image file is structured into a structure by adding information after the JPEG file mark code EOI.
  • JPEG file image information + text information.
  • the text information part needs to be decrypted and displayed during parsing, and the image is not affected at all.
  • the sensor information can describe the specific environmental information when the JPEG image file is taken, enabling better reproduction of JPEG files.
  • JPEG File Interchange Format JPEG File Interchange Format
  • EXIF Exchange Image File Format
  • Tag code Two bytes. The previous byte is fixed at 0xFF to indicate the start of the tag code. The different values of the latter byte represent different meanings. When a plurality of consecutive 0xFFs appear, it is understood that a 0xFF also indicates the start of the tag code.
  • main tag codes Two bytes. The previous byte is fixed at 0xFF to indicate the start of the tag code. The different values of the latter byte represent different meanings. When a plurality of consecutive 0xFFs appear, it is understood that a 0xFF also indicates the start of the tag code.
  • main tag codes Two bytes. The previous byte is fixed at 0xFF to indicate the start of the tag code. The different values of the latter byte represent different meanings. When a plurality of consecutive 0xFFs appear, it is understood that a 0xFF also indicates the start of the tag code.
  • main tag codes Two bytes. The previous byte is fixed at 0xFF to indicate the start of the tag code. The different values
  • Tag code format significance SOI (Start Of Image) 0xFFD8 Image start APP0 (Application0) 0xFFE0 Application retention tag 0 SOFO (Start Of Frame) 0XFFC0 Frame image begins EOI(End Of Image) 0xFFD9 End of image, end of image file
  • Compressed data The tag code is followed by compressed data, which records the details of the image file.
  • the software parses the file from 0xFFD8 and ends the parsing at 0xFFD9. If we insert the relevant text information into the position of 0xFFD9 in the file, the software will not parse the segment information. This avoids the impact of textual information on image content and image quality.
  • the file is integrated with the text information. From the information point of view, the whole unstructured image data and structured text information constitute a piece of structured information, that is, we will use JPEG image files and various sources. The text information is associated and the text information is inserted into the JPEG file. At the same time, because the current viewing software does not view the content behind the 0xFFD9 markup code, the security and concealment of our information is guaranteed.
  • Text information Only when we need to query and parse the information behind 0xFFD9 can we get the correct image correspondence. Text information. This kind of information not only helps us to accurately describe the specific details of the image, but also can be used as a retrieval condition to retrieve the corresponding image file by retrieving the structured text information.
  • the video stream structuring method in the present invention encapsulates the original video stream data packet, and the new data packet is a video stream data packet and standard sensor data received by the Internet of Things sensor or
  • the information such as manually input text information is merged, and the data packet length, video stream data packet, other information length, and other information are combined into a new data packet for transmission.
  • the format definition of the new data packet is shown in Table 2.
  • the server After receiving the data packet, the server parses it to generate the corresponding video file and its description file. The video file is structured and encapsulated in this way.
  • the structured video image information device is configured to collect sensor information and video information, and suffix the encoded video information and the encrypted sensor information into a JPEG image file or form a corresponding description file for the video file to form a standard data stream. Output according to standard communication protocols (usually TCP/IP).
  • Figure 3 is a macro perspective view of structured video information. Macroscopically, a description file for video files is added, and description files and video files are associated as two parts of structured information. A textual supplement to a single video image is created by creating its corresponding profile for the video file for each time period. Make the abstract video picture more specific and more substantial.
  • Figure 4 is a schematic diagram of the microscopic angle of structured video information.
  • the description file records the location of the video capture, the absolute time of the shot, and the relative time at which the video file began, as well as the textual information generated during the capture.
  • the information can be encrypted and stored, and needs to be viewed. It can be viewed by decrypting it with a private key.
  • the image file storage and retrieval method of the present invention obtains the length of the text information by parsing the 4-byte data behind the JPEG file tail 0xFFD9, and then extracts all the text information according to the length, and compares with the search condition, if the conditions are met Explain that this JPEG file is the image file we are looking for, otherwise we will compare the next file.
  • the principle of “B+tree” can be used to store segments according to the content of text information in the process of storage, and the folder where the conditions are located is first searched during retrieval. And then search in a subfolder to reduce the number of files viewed.
  • Figure 5 is a schematic diagram of image file storage (taking temperature as an example).
  • the image file is "B+tree" for intelligent classification and storage.
  • searching first determine which temperature segment the retrieval condition is in, and enter the corresponding directory for retrieval. .
  • the subdirectory is retrieved, the image that meets the criteria is output.
  • the video storage and retrieval method of the present invention uses the database "B + tree” idea to construct an index file for each field in the description file, and divides the index file into "engineering", "installation location", "year”, “month”, “day”
  • the received text information is stored in several levels. Search from the storage directory at the time of retrieval, enter the corresponding project directory, view the index files of all levels to select the qualified directory, put it into the retrieval queue, and obtain the next-level search file from the retrieval queue after the retrieval of the retrieval directory at this level. The path is retrieved until the corresponding profile location is retrieved. After the description file is retrieved, the corresponding video file can be obtained.
  • Figure 6 is a schematic diagram of multi-index video file storage.
  • Index files at various levels record the number of devices, the number of files, conditional flags, and so on.
  • the index file is generated by "bottom-up”. After receiving the text information, the index file is updated upwards in turn.
  • Engineing Index File records the number of devices included in the current project and the installation location of each device, project creation time and deadline, project file storage directory and number of files stored.
  • “Location index file” records the start time and stop time of the current device shooting, the number of video files captured, the storage address of the "year value” directory, and the text information identification and data content generated during the shooting of the device. Wait.
  • the “Annual Index File” records the month in which the device was used normally, the number of video files captured, the storage address of the “monthly value” directory, and the textual information identifier and its data content generated during the shooting of the device.
  • the “monthly index file” records the number of days the device is used normally in the month, the number of video files captured, the storage address of the “date” directory, and the text information identifier and its data content generated during the shooting of the device.
  • the "date index file” records the number of video files taken on the day of the device, the file name of each video file and the file name of the description file, and the text information identifier and its data content contained in each video file.
  • Figure 7 is a video image file retrieval process.
  • the detailed search process is as follows:
  • step 4 Dequeue the date in the date queue, enter the corresponding date directory, find the matching file, and output the file name. Repeat step 4 until the date queue is empty.
  • step 3 Repeat step 3 until the month value queue is empty.

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Abstract

L'invention concerne un dispositif et un procédé permettant d'établir des informations d'image vidéo structurées. Le dispositif est caractérisé en ce que : un module de capteur d'image CCD/CMOS est connecté à un processeur vidéo, un module de réception de réseau de capteurs sans fil est connecté à un processeur d'unité centrale de traitement (CPU), des sorties du processeur vidéo et du processeur CPU sont connectées respectivement à un module de fusion d'informations, et le module de fusion d'informations est connecté à une interface Ethernet/WiFi. Le procédé consiste : à fusionner des informations d'image vidéo avec d'autres données, ce qui forme des informations d'image vidéo structurées. Des informations de description de texte sont établies pour une image vidéo par fusion d'informations collectées par divers capteurs et utilisation d'informations des différents capteurs et des avantages d'un mode de collecte des différents capteurs, ce qui permet d'augmenter la vitesse d'extraction et le taux d'utilisation de l'image vidéo.
PCT/CN2016/081149 2015-05-20 2016-05-05 Dispositif et procédé permettant d'établir des informations d'image vidéo structurées WO2016184314A1 (fr)

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CN113515649A (zh) * 2020-11-19 2021-10-19 阿里巴巴集团控股有限公司 数据的结构化方法、系统、装置、设备和存储介质
CN113515649B (zh) * 2020-11-19 2024-03-01 阿里巴巴集团控股有限公司 数据的结构化方法、系统、装置、设备和存储介质
CN117633297A (zh) * 2024-01-26 2024-03-01 江苏瑞宁信创科技有限公司 基于注释的视频检索方法、装置、系统及介质
CN117633297B (zh) * 2024-01-26 2024-04-30 江苏瑞宁信创科技有限公司 基于注释的视频检索方法、装置、系统及介质

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