WO2022237107A1 - 视频查找方法、系统、电子设备及存储介质 - Google Patents

视频查找方法、系统、电子设备及存储介质 Download PDF

Info

Publication number
WO2022237107A1
WO2022237107A1 PCT/CN2021/130887 CN2021130887W WO2022237107A1 WO 2022237107 A1 WO2022237107 A1 WO 2022237107A1 CN 2021130887 W CN2021130887 W CN 2021130887W WO 2022237107 A1 WO2022237107 A1 WO 2022237107A1
Authority
WO
WIPO (PCT)
Prior art keywords
video
target image
target
shooting
shooting information
Prior art date
Application number
PCT/CN2021/130887
Other languages
English (en)
French (fr)
Inventor
李巍
Original Assignee
上海擎感智能科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 上海擎感智能科技有限公司 filed Critical 上海擎感智能科技有限公司
Publication of WO2022237107A1 publication Critical patent/WO2022237107A1/zh

Links

Images

Classifications

    • 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
    • G06F16/73—Querying
    • 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
    • G06F16/73—Querying
    • G06F16/735—Filtering based on additional data, e.g. user or group profiles
    • 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
    • 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
    • G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • 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
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0841—Registering performance data
    • G07C5/085—Registering performance data using electronic data carriers
    • G07C5/0866—Registering performance data using electronic data carriers the electronic data carrier being a digital video recorder in combination with video camera
    • 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
    • H04N21/232—Content retrieval operation locally within server, e.g. reading video streams from disk arrays
    • 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]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/432—Content retrieval operation from a local storage medium, e.g. hard-disk
    • 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]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/432—Content retrieval operation from a local storage medium, e.g. hard-disk
    • H04N21/4325—Content retrieval operation from a local storage medium, e.g. hard-disk by playing back content from the storage medium
    • 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]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/472—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content
    • 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]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/472—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content
    • H04N21/47217—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content for controlling playback functions for recorded or on-demand content, e.g. using progress bars, mode or play-point indicators or bookmarks
    • 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]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
    • H04N21/845—Structuring of content, e.g. decomposing content into time segments
    • 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]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
    • H04N21/845—Structuring of content, e.g. decomposing content into time segments
    • H04N21/8455—Structuring of content, e.g. decomposing content into time segments involving pointers to the content, e.g. pointers to the I-frames of the video stream

Definitions

  • the invention relates to the field of computer technology, in particular to a video search method, system, electronic equipment and storage medium.
  • a driving recorder has both camera and video recording functions.
  • the user needs to view the video corresponding to the photo, he can only manually search for it in the video file, which is very cumbersome.
  • most of the videos recorded by existing driving recorders are stored in the form of video clips. For example, if one video clip is generated every minute, 40 short videos will be generated during the total driving time of 40 minutes.
  • a user searches for a video corresponding to a photo, he needs to search for a matching video among 40 short videos, which is time-consuming and laborious.
  • the present invention provides a video searching method, system, electronic device and storage medium.
  • the present invention provides a video search method, including:
  • the target video in the video library is acquired according to the target image shooting information, so that the video shooting information of the target video and the target image shooting information meet a preset matching condition.
  • the present invention also provides a video search system, including:
  • a target image acquisition module configured to acquire a target image according to a video search request
  • An image capture information acquisition module configured to acquire target image capture information according to the target image
  • the video search module is configured to obtain the target video in the video library according to the target image shooting information, so that the video shooting information of the target video and the target image shooting information meet a preset matching condition.
  • the present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and operable on the processor, and the steps of the aforementioned method are implemented when the processor executes the computer program .
  • the present invention also provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the steps of the aforementioned method are realized.
  • the present invention has the following beneficial effects:
  • the present invention firstly responds to the video search request to obtain the target image; then obtains the target image shooting information according to the target image; finally obtains the target video in the video library according to the target image shooting information, so that the video shooting of the target video
  • the information and the shooting information of the target image meet a preset matching condition. Therefore, the target video corresponding to the target image can be automatically found, saving time and effort.
  • FIG. 1 is a schematic flow diagram of a video search method provided in Embodiment 1 of the present invention.
  • Fig. 2 is a schematic diagram of the process of executing a video search request in Embodiment 1 of the present invention
  • FIG. 3 is a schematic flowchart of a video search method provided by Embodiments 2 and 3 of the present invention.
  • FIG. 4 is a schematic flowchart of a video search method provided in Embodiment 4 of the present invention.
  • Fig. 5 is the structural block diagram of the video searching system that the embodiment 5 of the present invention provides;
  • Fig. 6 is the structural block diagram of the video searching system that embodiment 6 and 7 of the present invention provides;
  • FIG. 7 is a structural block diagram of a video search system provided by Embodiment 8 of the present invention.
  • FIG. 8 is a hardware architecture diagram of an electronic device provided by Embodiment 9 of the present invention.
  • the present embodiment provides a video search method, as shown in Figure 1, the method specifically includes the following steps:
  • the video search request includes preset operations on the target image.
  • the target image For example, as shown in Figure 2, when the user needs to view a video that matches the target image "camera1_20210101_130101.jpg" in the image library, the following preset operations can be performed on the target image: First, press and hold the target image, and after a long press, " View the corresponding video” button, and then click the button to confirm to complete the video search request.
  • the video search request process shown in Figure 2 is only an example rather than a limitation, and it can be replaced by other implementations, for example, only by long pressing the target image to complete the video search request without clicking the control key. confirm.
  • the target image file shown in Figure 2 is displayed in the form of a collection list, and the user can select the corresponding target picture from the collection list.
  • This display method is only an example rather than a limitation, and it can also be replaced by other display methods, for example, on a map
  • To display specifically, according to the positioning information corresponding to the target image, display the relevant information of the target picture at the position corresponding to the positioning information on the map, and the user can select the target picture from the map.
  • the corresponding target image is obtained from the preset image library according to the video search request.
  • each image stored in the image library is configured with corresponding image capture information, and the image capture information corresponding to the target image is the target image capture information.
  • each video stored in the video library is configured with corresponding video shooting information, and when the target image shooting information is obtained, the target image shooting information is compared with the video shooting information of each video, and when When the video shooting information of a certain video and the shooting information of the target image meet a preset matching condition, the video is taken as the target video corresponding to the target image.
  • the target image is obtained by first responding to the video search request; then the target image shooting information is obtained according to the target image; finally, the target video in the video library is obtained according to the target image shooting information, so that the target video
  • the video shooting information and the target image shooting information meet a preset matching condition. Therefore, the target video corresponding to the target image can be automatically found, saving time and effort.
  • Embodiment 1 is a further improvement on Embodiment 1.
  • each image in the image library and each video in the video library are taken by the same shooting device (for example, they are all taken by the front camera of the vehicle), and the images of each image
  • the shooting information includes a shooting time point, and the video shooting information of each video includes a shooting time period. For example, if the shooting time of image A is 13:01:1 on January 1, 2021, the image shooting information corresponding to the image is 13:1:1 on January 1, 2021; If the end time is 13:1:10 on January 1, 2021, and the shooting time is 1 minute, then the video shooting information corresponding to the video is within 1 minute before 13:1:10 on January 1, 2021 part.
  • the matching conditions in the aforementioned step S3 include: the shooting time period of the target video includes the shooting time point corresponding to the target image shooting information, that is, the shooting time point corresponding to the target image shooting information is within the shooting time point of the target video within the time period.
  • the shooting time period of the video includes the shooting time point corresponding to the shooting information of the target image, which means that the shooting information of the video and the shooting information of the target image meet a preset matching condition.
  • each image in the image library can be named by the shooting time point of the image, and each video in the video library can be named by the shooting end time (or shooting start time) of the video.
  • the aforementioned A image is named 20210101_130101
  • the aforementioned B video is named 20210101_130110.
  • This embodiment provides a specific matching method between the video shooting information of the target video and the target image shooting information, when each image in the image library and each video in the video library are taken by the same shooting device When it is done, through the matching method of this embodiment, the desired target video can be accurately found.
  • the method of the present embodiment can also include:
  • the shooting time point in the shooting information of the target image is T0
  • the progress of the target video is adjusted to the time T0.
  • Embodiment 1 is a further improvement on Embodiment 1.
  • each image in the image library and each video in the video library are taken by two or more shooting devices (such as being taken by a front camera and a rear camera of the vehicle respectively). to make).
  • the image shooting information of each image includes a shooting device identifier and a shooting time point
  • the video shooting information of each video includes a shooting device identifier and a shooting time period.
  • the image shooting information corresponding to this image includes device 1 + 13:1, January 1, 2021 Minute 1 second; if video B is shot by device 1, and its shooting end time is 13:1:10 on January 1, 2021, and the shooting time is 1 minute, then the video shooting information corresponding to this video includes device 1+2021 The time period within 1 minute before 13:1:10 on January 1 of the year.
  • the matching conditions in the aforementioned step S3 also include the shooting device identifier of the target video and the target The image capture information corresponds to the same capture device identifier.
  • the shooting device ID corresponding to the target image shooting information is device 1, and the shooting time point is 13:01:1, January 1, 2021, and the shooting device ID corresponding to a certain video is device 1, and the shooting time period is 2021 Within 1 minute before 13:01:10 on January 1, the shooting time period of the video includes the shooting time point corresponding to the target image shooting information, and the shooting device identification corresponding to the video corresponds to the shooting information of the target image shooting If the device identification is consistent, it means that the video shooting information of the video and the target image shooting information meet a preset matching condition.
  • each image in the image library can be named by the shooting device identification and shooting time point of the image
  • each video in the video library can be named by the shooting device identification and shooting end time (or shooting start time) of the video. Name it.
  • name the aforementioned A image as device 1_120210101_130101
  • name the aforementioned B video as device 1_20210101_130110.
  • This embodiment provides another specific matching method between the video shooting information of the target video and the target image shooting information.
  • the desired target video can be accurately found through the matching method of this embodiment.
  • the method of this embodiment may also include the aforementioned step S4.
  • Embodiments 1-3 This embodiment is a further improvement on Embodiments 1-3.
  • the method of this embodiment also includes the following steps before responding to the video search request:
  • the database includes an image table and a video table, wherein the image table is used to store the image shooting information of each image in the image library, and the video table is used to store the video shooting information of each video in the video library .
  • the aforementioned step S2 acquires the shooting information of the target image corresponding to the target image from the image table of the database.
  • the aforementioned step S3 searches the target video shooting information from the video table of the database, so that the target video shooting information and the target image shooting information meet the preset matching conditions, and then searches the video library for the The target video captures a video corresponding to the information, and uses the found video as the target video.
  • This embodiment provides convenience for acquiring target image shooting information and target video shooting information.
  • This embodiment provides a video search system.
  • the system specifically includes: a target image acquisition module 11 , an image shooting information acquisition module 12 and a video search module 13 . in:
  • the target image acquiring module 11 is used for acquiring the target image according to the video search request.
  • the video search request includes preset operations on the target image.
  • the target image For example, as shown in Figure 2, when the user needs to view a video that matches the target image "camera1_20210101_130101.jpg" in the image library, the following preset operations can be performed on the target image: First, press and hold the target image, and after a long press, " View the corresponding video” button, and then click the button to confirm to complete the video search request.
  • the video search request process shown in Figure 2 is only an example rather than a limitation, and it can be replaced by other implementations, for example, only by long pressing the target image to complete the video search request without clicking the control key. confirm.
  • the corresponding target image is obtained from the preset image library according to the video search request.
  • the image capture information acquiring module 12 is used for acquiring target image capture information according to the target image.
  • each image stored in the image library is configured with corresponding image capture information, and the image capture information corresponding to the target image is the target image capture information.
  • the video search module 13 is configured to acquire a target video in a preset video library according to the shooting information of the target image, so that the shooting information of the target video and the shooting information of the target image meet a preset matching condition.
  • each video stored in the video library is configured with corresponding video shooting information, and when the target image shooting information is obtained, the target image shooting information is compared with the video shooting information of each video, and when When the video shooting information of a certain video and the shooting information of the target image meet a preset matching condition, the video is taken as the target video corresponding to the target image.
  • the target image is acquired by the target image acquisition module according to the video search request; then the target image capture information is acquired by the image capture information acquisition module according to the target image; finally, the video library is acquired by the video search module according to the target image capture information
  • the target video in the target video so that the video capture information of the target video and the target image capture information meet a preset matching condition. Therefore, the target video corresponding to the target image can be automatically found, saving time and effort.
  • Embodiment 5 is a further improvement on Embodiment 5.
  • each image in the image library and each video in the video library are taken by the same shooting device (for example, they are all taken by the front camera of the vehicle), and the images of each image
  • the shooting information includes a shooting time point, and the video shooting information of each video includes a shooting time period. For example, if the shooting time of image A is 13:01:1 on January 1, 2021, the image shooting information corresponding to the image is 13:1:1 on January 1, 2021; If the end time is 13:1:10 on January 1, 2021, and the shooting time is 1 minute, then the video shooting information corresponding to the video is within 1 minute before 13:1:10 on January 1, 2021 part.
  • the matching conditions in the aforementioned video search module 13 include: the shooting time period of the target video includes the shooting time point corresponding to the target image shooting information, that is, the shooting time point corresponding to the target image shooting information is in the target video within the shooting time period.
  • the shooting time period of the video includes the shooting time point corresponding to the shooting information of the target image, which means that the shooting information of the video and the shooting information of the target image meet a preset matching condition.
  • each image in the image library can be named by the shooting time point of the image, and each video in the video library can be named by the shooting end time (or shooting start time) of the video.
  • the aforementioned A image is named 20210101_130101
  • the aforementioned B video is named 20210101_130110.
  • This embodiment provides a specific matching method between the video shooting information of the target video and the target image shooting information, when each image in the image library and each video in the video library are taken by the same shooting device When it is done, through the matching method of this embodiment, the desired target video can be accurately found.
  • the system of this embodiment can also include a playback module 14, which is used to play the target video after the target video is found, and adjust the target according to the shooting time point in the target image shooting information. The playback progress of the video.
  • the shooting time point in the shooting information of the target image is T0
  • the progress of the target video is adjusted to the time T0.
  • Embodiment 5 is a further improvement on Embodiment 5.
  • each image in the image library and each video in the video library are taken by two or more shooting devices (such as being taken by a front camera and a rear camera of the vehicle respectively). to make).
  • the image shooting information of each image includes a shooting device identifier and a shooting time point
  • the video shooting information of each video includes a shooting device identifier and a shooting time period.
  • the image shooting information corresponding to this image includes device 1 + 13:1, January 1, 2021 Minute 1 second; if video B is shot by device 1, and its shooting end time is 13:1:10 on January 1, 2021, and the shooting time is 1 minute, then the video shooting information corresponding to this video includes device 1+2021 The time period within 1 minute before 13:1:10 on January 1 of the year.
  • the matching conditions in the aforementioned video search module 13 also include the shooting device identification and the target video shooting device identification of the target video.
  • the shooting device identification corresponding to the target image shooting information is consistent.
  • the shooting device ID corresponding to the target image shooting information is device 1, and the shooting time point is 13:01:1, January 1, 2021, and the shooting device ID corresponding to a certain video is device 1, and the shooting time period is 2021 Within 1 minute before 13:01:10 on January 1, the shooting time period of the video includes the shooting time point corresponding to the target image shooting information, and the shooting device identification corresponding to the video corresponds to the shooting information of the target image shooting If the device identification is consistent, it means that the video shooting information of the video and the target image shooting information meet a preset matching condition.
  • each image in the image library can be named by the shooting device identification and shooting time point of the image
  • each video in the video library can be named by the shooting device identification and shooting end time (or shooting start time) of the video. Name it.
  • name the aforementioned A image as device 1_120210101_130101
  • name the aforementioned B video as device 1_20210101_130110.
  • This embodiment provides another specific matching method between the video shooting information of the target video and the target image shooting information.
  • the desired target video can be accurately found through the matching method of this embodiment.
  • the system of this embodiment may also include the aforementioned playback module 14 .
  • Embodiments 5-7 This embodiment is a further improvement on Embodiments 5-7.
  • the system of this embodiment also includes a database building module 10, which is used to build a database before responding to the video search request, the database includes an image table and a video table, wherein the image table is used for The image shooting information of each image in the image library is stored, and the video table is used for storing the video shooting information of each video in the video library.
  • a database building module 10 which is used to build a database before responding to the video search request
  • the database includes an image table and a video table, wherein the image table is used for The image shooting information of each image in the image library is stored, and the video table is used for storing the video shooting information of each video in the video library.
  • the aforementioned image capture information acquisition module 12 acquires target image capture information corresponding to the target image from the image table of the database.
  • the aforementioned video search module 13 searches the target video shooting information from the video table of the database, so that the target video shooting information and the target image shooting information meet the preset matching conditions, and then searches from the video library
  • the target video captures a video corresponding to the information, and uses the found video as the target video.
  • This embodiment provides convenience for acquiring target image shooting information and target video shooting information.
  • This embodiment provides an electronic device, which can be expressed in the form of a computing device (for example, it can be a server device), including a memory, a processor, and a computer program stored on the memory and operable on the processor, wherein the processor
  • the video search method provided by Embodiments 1-4 can be realized when the computer program is executed.
  • FIG. 8 shows a schematic diagram of the hardware structure of this embodiment.
  • the electronic device 9 specifically includes:
  • At least one processor 91 at least one memory 92, and a bus 93 for connecting different system components, including the processor 91 and the memory 92, wherein:
  • the bus 93 includes a data bus, an address bus, and a control bus.
  • the memory 92 includes a volatile memory, such as a random access memory (RAM) 921 and/or a cache memory 922 , and may further include a read only memory (ROM) 923 .
  • RAM random access memory
  • ROM read only memory
  • Memory 92 also includes programs/utilities 925 having a set (at least one) of program modules 924 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, examples of which are Each or some combination of these may include implementations of network environments.
  • the processor 91 executes various functional applications and data processing by running the computer program stored in the memory 92, such as the video search method provided in Embodiments 1-4 of the present invention.
  • Electronic device 9 may further communicate with one or more external devices 94 (eg, keyboards, pointing devices, etc.). Such communication may occur through input/output (I/O) interface 95 .
  • the electronic device 9 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN) and/or a public network such as the Internet) through the network adapter 96 .
  • Network adapter 96 communicates with other modules of electronic device 9 via bus 93 .
  • other hardware and/or software modules may be used in conjunction with electronic device 9, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (array of disks) systems, tape drives, and data backup storage systems.
  • This embodiment provides a computer-readable storage medium, on which a computer program is stored.
  • the program is executed by a processor, the steps of the video search method provided in Embodiments 1-4 are implemented.
  • the readable storage medium may more specifically include but not limited to: portable disk, hard disk, random access memory, read-only memory, erasable programmable read-only memory, optical storage device, magnetic storage device or any of the above-mentioned the right combination.
  • the present invention can also be implemented in the form of a program product, which includes program code, and when the program product runs on the terminal device, the program code is used to make the terminal device execute The steps of the video search method described in Embodiment 1-4.
  • the program code for executing the present invention can be written in any combination of one or more programming languages, and the program code can be completely executed on the user equipment, partially executed on the user equipment, or used as an independent
  • the package executes, partly on the user device and partly on the remote device, or entirely on the remote device.

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Library & Information Science (AREA)
  • Computational Linguistics (AREA)
  • Human Computer Interaction (AREA)
  • Television Signal Processing For Recording (AREA)

Abstract

本发明提供一种视频查找方法、系统、电子设备及存储介质，该方法包括：响应于视频查找请求，获取目标图像；根据所述目标图像获取目标图像拍摄信息；根据所述目标图像拍摄信息获取视频库中的目标视频，以使所述目标视频的视频拍摄信息与所述目标图像拍摄信息满足预设的匹配条件。本发明能够自动查找到与图像对应的视频，提高用户体验。

Description

视频查找方法、系统、电子设备及存储介质
本申请要求申请日为2021/5/14的中国专利申请2021105268596的优先权。本申请引用上述中国专利申请的全文。
技术领域
本发明涉及计算机技术领域，尤其涉及一种视频查找方法、系统、电子设备及存储介质。
背景技术
通常，行车记录仪同时具有拍照和视频录制功能。当用户需要查看照片对应的视频时，目前只能手动在视频文件中查找，很是繁琐。例如，现有行车记录仪录制的视频大多以视频片段的形式进行存储，如每一分钟生成一个视频片段，在驾驶总时长为40分钟的路程中，将生成40个短视频。用户在查找与照片对应的视频时，需要在40个短视频中查找匹配的视频，费时费力。
发明内容
为了解决现有技术需要手动查找与图像对应的视频导致的费时费力问题，本发明提供一种视频查找方法、系统、电子设备及存储介质。
为了实现上述目的，本发明提供一种视频查找方法，包括：
响应于视频查找请求，获取目标图像；
根据所述目标图像获取目标图像拍摄信息；
根据所述目标图像拍摄信息获取视频库中的目标视频，以使所述目标视频的视频拍摄信息与所述目标图像拍摄信息满足预设的匹配条件。
为了实现上述目的，本发明还提供一种视频查找系统，包括：
目标图像获取模块，用于根据视频查找请求获取目标图像；
图像拍摄信息获取模块，用于根据所述目标图像获取目标图像拍摄信息；
视频查找模块，用于根据所述目标图像拍摄信息，获取视频库中的目标视频，以使所述目标视频的视频拍摄信息与所述目标图像拍摄信息满足预设的匹配条件。
为了实现上述目的，本发明还提供一种电子设备，包括存储器、处理器以及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述计算机程序时实现前述方法的步骤。
为了实现上述目的，本发明还提供一种计算机可读存储介质，其上存储有计算机程序，所述计算机程序被处理器执行时实现前述方法的步骤。
通过采用上述技术方案，本发明具有如下有益效果：
本发明首先响应于视频查找请求，获取目标图像；而后根据所述目标图像获取目标图像拍摄信息；最后根据所述目标图像拍摄信息获取视频库中的目标视频，以使所述目标视频的视频拍摄信息与所述目标图像拍摄信息满足预设的匹配条件。从而，能够自动查找到与目标图像对应的目标视频，省时省力。
附图说明
图1为本发明实施例1提供的视频查找方法的流程示意图；
图2为本发明实施例1中执行视频查找请求的过程示意图；
图3为本发明实施例2和3提供的视频查找方法的流程示意图；
图4为本发明实施例4提供的视频查找方法的流程示意图；
图5为本发明实施例5提供的视频查找系统的结构框图；
图6为本发明实施例6和7提供的视频查找系统的结构框图；
图7为本发明实施例8提供的视频查找系统的结构框图；
图8为本发明实施例9提供的电子设备的硬件架构图。
具体实施方式
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅用以解释本发明，并不用于限定本发明。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。
在本发明使用的术语是仅仅出于描述特定实施例的目的，而非旨在限制本公开。在本公开和所附权利要求书中所使用的单数形式的“一种”、“所述”和“该”也旨在包括多数形式，除非上下文清楚地表示其他含义。还应当理解，本文中使用的术语“和/或”是指并包含一个或多个相关联的列出项目的任何或所有可能组合。
实施例1
本实施例提供一种视频查找方法，如图1所示，该方法具体包括以下步骤：
S1，响应于视频查找请求，获取目标图像。
在本实施例中，视频查找请求包括对目标图像的预设操作。例如，如图2所示，当用户需要查看与图像库中目标图像“camera1_20210101_130101.jpg”匹配的视频时，可针对目标图像执行以下预设操作：首先长按目标图像，经过长按将弹出“查看对应视频”控键，再点击该控键进行确认即可完成视频查找请求。需要说明的是，图2所示的视频查找请求过程仅作为示例而非限制，其可以替换为其它实现方式，例如，仅通过长按目标图像来完成视频查 找请求，而无需通过点击控键进行确认。
图2所示的目标图像文件以集合列表的形式显示，用户可以从集合列表中选择对应的目标图片，该显示方式仅作为示例而非限制，也可以替换为其他显示方式，例如，在地图上显示，具体地，根据目标图像对应的定位信息，在地图对应所述定位信息的位置显示目标图片的相关信息，用户可以从地图上挑选目标图片。
本实施例在检测到视频查找请求后，即根据该视频查找请求从预设的图像库中获取对应的目标图像。
S2，根据所述目标图像获取目标图像拍摄信息。
在本实施例中，所述图像库中存储的各图像分别配置有对应的图像拍摄信息，与目标图像对应的图像拍摄信息即为目标图像拍摄信息。
S3，根据所述目标图像拍摄信息获取预设的视频库中的目标视频，以使所述目标视频的视频拍摄信息与所述目标图像拍摄信息满足预设的匹配条件。
在本实施例中，所述视频库中存储的各视频分别配置有对应的视频拍摄信息，当获取到目标图像拍摄信息后，将目标图像拍摄信息与各视频的视频拍摄信息进行比对，当某视频的视频拍摄信息与目标图像拍摄信息满足预设的匹配条件时，则将该视频作为与目标图像对应的目标视频。
本实施例通过首先响应于视频查找请求，获取目标图像；而后根据所述目标图像获取目标图像拍摄信息；最后根据所述目标图像拍摄信息获取视频库中的目标视频，以使所述目标视频的视频拍摄信息与所述目标图像拍摄信息满足预设的匹配条件。从而，能够自动查找到与目标图像对应的目标视频，省时省力。
实施例2
本实施例是对实施例1的进一步改进。
在本实施例中，所述图像库中的各图像和所述视频库中的各视频由同一个拍摄设备拍摄而成(例如均由车辆的前置摄像头拍摄而成)，同时各图像的图像拍摄信息包括拍摄时间点，各视频的视频拍摄信息包括拍摄时间段。例如，若A图像的拍摄时间点为2021年1月1日13点1分1秒，则该图像对应的图像拍摄信息为2021年1月1日13点1分1秒；若B视频的拍摄结束时间为2021年1月1日13点1分10秒，拍摄时长为1分钟，则该视频对应的拍摄视频拍摄信息为2021年1月1日13点1分10秒前1分钟内的时间段。
在此基础上，前述步骤S3中的匹配条件包括：所述目标视频的拍摄时间段包括所述目标图像拍摄信息对应的拍摄时间点，即目标图像拍摄信息对应的拍摄时间点在目标视频的拍摄时间段之内。
例如，假设目标图像拍摄信息对应的拍摄时间点为2021年1月1日13点1分1秒，某视频的拍摄时间段为2021年1月1日13点1分10秒之前的1分钟内，则该视频的拍摄时间段包含目标图像拍摄信息对应的拍摄时间点，表示该视频的视频拍摄信息与所述目标图像拍摄信息满足预设的匹配条件。
在本实施例中，图像库中的各图像可以该图像的拍摄时间点进行命名，视频库中的各视频可以该视频的拍摄结束时间(或拍摄起始时间)进行命名。例如，将前述A图像命名为20210101_130101，将前述B视频命名为20210101_130110。
本实施例提供了目标视频的视频拍摄信息与目标图像拍摄信息之间的一种具体匹配方式，当所述图像库中的各图像和所述视频库中的各视频是由同一个拍摄设备拍摄而成时，通过本实施例的匹配方式，可以精确的查找到需要的目标视频。
当查找到目标视频之后，如图3所示，本实施例的方法还可以包括：
S4，播放所述目标视频，并根据所述目标图像拍摄信息中的拍摄时间点调节所述目标视频的播放进度。
例如，假设目标图像拍摄信息中的拍摄时间点为T0，则将目标视频的进度调节到T0时刻。
实施例3
本实施例是对实施例1的进一步改进。
在本实施例中，所述图像库中的各图像和所述视频库中的各视频由两个或两个以上拍摄设备拍摄而成(例如由车辆的前置摄像头和后置摄像头分别拍摄而成)。各图像的图像拍摄信息包括拍摄设备标识和拍摄时间点，各视频的视频拍摄信息包括拍摄设备标识和拍摄时间段。例如，若A图像由设备1拍摄，且其拍摄时间点为2021年1月1日13点1分1秒，则该图像对应的图像拍摄信息包括设备1+2021年1月1日13点1分1秒；若B视频由设备1拍摄，且其拍摄结束时间为2021年1月1日13点1分10秒，拍摄时长为1分钟，则该视频对应的视频拍摄信息包括设备1+2021年1月1日13点1分10秒前1分钟内的时间段。
在此基础上，前述步骤S3中的匹配条件除了包括所述目标视频的拍摄时间段包括所述目标图像拍摄信息对应的拍摄时间点以外，还包括所述目标视频的拍摄设备标识与所述目标图像拍摄信息对应的拍摄设备标识一致。
例如，假设目标图像拍摄信息对应的拍摄设备标识为设备1、拍摄时间点为2021年1月1日13点1分1秒，某视频对应的拍摄设备标识为设备1、拍摄时间段为2021年1月1日13点1分10秒之前的1分钟内，则该视频的拍摄时间段包含目标图像拍摄信息对应的拍摄时间点、且该视频对应的拍摄设备标识与目标图像拍摄信息对应的拍摄设备标识一致，表示该视频的视频拍摄信息与所述目标图像拍摄信息满足预设的匹配条件。
在本实施例中，图像库中的各图像可以该图像的拍摄设备标识和拍摄时 间点进行命名，视频库中的各视频可以该视频的拍摄设备标识和拍摄结束时间(或拍摄起始时间)进行命名。例如，将前述A图像命名为设备1_120210101_130101，将前述B视频命名为设备1_20210101_130110。
本实施例提供了目标视频的视频拍摄信息与目标图像拍摄信息之间的另一种具体匹配方式，当所述图像库中的各图像和所述视频库中的各视频由两个或两个以上拍摄设备拍摄而成时，通过本实施例的匹配方式，可以精确的查找到需要的目标视频。
当查找到目标视频之后，本实施例的方法同样可以包括前述步骤S4。
实施例4
本实施例是对实施例1-3的进一步改进。
如图4所示，本实施例的方法在响应于所述视频查找请求之前，还包括以下步骤：
S0，建立数据库，所述数据库包括图像表和视频表，其中，所述图像表用于存储图像库中各图像的图像拍摄信息，所述视频表用于存储视频库中各视频的视频拍摄信息。
基于此，前述步骤S2从所述数据库的图像表中获取与目标图像对应的目标图像拍摄信息。
前述步骤S3从所述数据库的视频表中查找目标视频拍摄信息，以使所述目标视频拍摄信息与所述目标图像拍摄信息满足预设的匹配条件，而后再从所述视频库中查找所述目标视频拍摄信息对应的视频，并将查找到的视频作为所述目标视频。
本实施例为获取目标图像拍摄信息和目标视频拍摄信息提供了便利。
实施例5
本实施例提供一种视频查找系统，如图5所示，该系统具体包括：目标图像获取模块11、图像拍摄信息获取模块12和视频查找模块13。其中：
目标图像获取模块11用于根据视频查找请求获取目标图像。
在本实施例中，视频查找请求包括对目标图像的预设操作。例如，如图2所示，当用户需要查看与图像库中目标图像“camera1_20210101_130101.jpg”匹配的视频时，可针对目标图像执行以下预设操作：首先长按目标图像，经过长按将弹出“查看对应视频”控键，再点击该控键进行确认即可完成视频查找请求。需要说明的是，图2所示的视频查找请求过程仅作为示例而非限制，其可以替换为其它实现方式，例如，仅通过长按目标图像来完成视频查找请求，而无需通过点击控键进行确认。
本实施例在检测到视频查找请求后，即根据该视频查找请求从预设的图像库中获取对应的目标图像。
图像拍摄信息获取模块12用于根据所述目标图像获取目标图像拍摄信息。
在本实施例中，所述图像库中存储的各图像分别配置有对应的图像拍摄信息，与目标图像对应的图像拍摄信息即为目标图像拍摄信息。
视频查找模块13用于根据所述目标图像拍摄信息获取预设的视频库中的目标视频，以使所述目标视频的视频拍摄信息与所述目标图像拍摄信息满足预设的匹配条件。
在本实施例中，所述视频库中存储的各视频分别配置有对应的视频拍摄信息，当获取到目标图像拍摄信息后，将目标图像拍摄信息与各视频的视频拍摄信息进行比对，当某视频的视频拍摄信息与目标图像拍摄信息满足预设的匹配条件时，则将该视频作为与目标图像对应的目标视频。
本实施例首先通过目标图像获取模块根据视频查找请求获取目标图像；而后通过图像拍摄信息获取模块根据所述目标图像获取目标图像拍摄信息；最后通过视频查找模块根据所述目标图像拍摄信息获取视频库中的目标视频，以使所述目标视频的视频拍摄信息与所述目标图像拍摄信息满足预设的 匹配条件。从而，能够自动查找到与目标图像对应的目标视频，省时省力。
实施例6
本实施例是对实施例5的进一步改进。
在本实施例中，所述图像库中的各图像和所述视频库中的各视频由同一个拍摄设备拍摄而成(例如均由车辆的前置摄像头拍摄而成)，同时各图像的图像拍摄信息包括拍摄时间点，各视频的视频拍摄信息包括拍摄时间段。例如，若A图像的拍摄时间点为2021年1月1日13点1分1秒，则该图像对应的图像拍摄信息为2021年1月1日13点1分1秒；若B视频的拍摄结束时间为2021年1月1日13点1分10秒，拍摄时长为1分钟，则该视频对应的拍摄视频拍摄信息为2021年1月1日13点1分10秒前1分钟内的时间段。
在此基础上，前述视频查找模块13中的匹配条件包括：所述目标视频的拍摄时间段包括所述目标图像拍摄信息对应的拍摄时间点，即目标图像拍摄信息对应的拍摄时间点在目标视频的拍摄时间段之内。
例如，假设目标图像拍摄信息对应的拍摄时间点为2021年1月1日13点1分1秒，某视频的拍摄时间段为2021年1月1日13点1分10秒之前的1分钟内，则该视频的拍摄时间段包含目标图像拍摄信息对应的拍摄时间点，表示该视频的视频拍摄信息与所述目标图像拍摄信息满足预设的匹配条件。
在本实施例中，图像库中的各图像可以该图像的拍摄时间点进行命名，视频库中的各视频可以该视频的拍摄结束时间(或拍摄起始时间)进行命名。例如，将前述A图像命名为20210101_130101，将前述B视频命名为20210101_130110。
本实施例提供了目标视频的视频拍摄信息与目标图像拍摄信息之间的一种具体匹配方式，当所述图像库中的各图像和所述视频库中的各视频是由 同一个拍摄设备拍摄而成时，通过本实施例的匹配方式，可以精确的查找到需要的目标视频。
如图6所示，本实施例的系统还可以包括播放模块14，用于当查找到目标视频之后，播放所述目标视频，并根据所述目标图像拍摄信息中的拍摄时间点调节所述目标视频的播放进度。
例如，假设目标图像拍摄信息中的拍摄时间点为T0，则将目标视频的进度调节到T0时刻。
实施例7
本实施例是对实施例5的进一步改进。
在本实施例中，所述图像库中的各图像和所述视频库中的各视频由两个或两个以上拍摄设备拍摄而成(例如由车辆的前置摄像头和后置摄像头分别拍摄而成)。各图像的图像拍摄信息包括拍摄设备标识和拍摄时间点，各视频的视频拍摄信息包括拍摄设备标识和拍摄时间段。例如，若A图像由设备1拍摄，且其拍摄时间点为2021年1月1日13点1分1秒，则该图像对应的图像拍摄信息包括设备1+2021年1月1日13点1分1秒；若B视频由设备1拍摄，且其拍摄结束时间为2021年1月1日13点1分10秒，拍摄时长为1分钟，则该视频对应的视频拍摄信息包括设备1+2021年1月1日13点1分10秒前1分钟内的时间段。
在此基础上，前述视频查找模块13中的匹配条件除了包括所述目标视频的拍摄时间段包括所述目标图像拍摄信息对应的拍摄时间点以外，还包括所述目标视频的拍摄设备标识与所述目标图像拍摄信息对应的拍摄设备标识一致。
例如，假设目标图像拍摄信息对应的拍摄设备标识为设备1、拍摄时间点为2021年1月1日13点1分1秒，某视频对应的拍摄设备标识为设备1、拍摄时间段为2021年1月1日13点1分10秒之前的1分钟内，则该视 频的拍摄时间段包含目标图像拍摄信息对应的拍摄时间点、且该视频对应的拍摄设备标识与目标图像拍摄信息对应的拍摄设备标识一致，表示该视频的视频拍摄信息与所述目标图像拍摄信息满足预设的匹配条件。
在本实施例中，图像库中的各图像可以该图像的拍摄设备标识和拍摄时间点进行命名，视频库中的各视频可以该视频的拍摄设备标识和拍摄结束时间(或拍摄起始时间)进行命名。例如，将前述A图像命名为设备1_120210101_130101，将前述B视频命名为设备1_20210101_130110。
本实施例提供了目标视频的视频拍摄信息与目标图像拍摄信息之间的另一种具体匹配方式，当所述图像库中的各图像和所述视频库中的各视频由两个或两个以上拍摄设备拍摄而成时，通过本实施例的匹配方式，可以精确的查找到需要的目标视频。
本实施例的系统同样可以包括前述播放模块14。
实施例8
本实施例是对实施例5-7的进一步改进。
如图7所示，本实施例的系统还包括数据库建立模块10，用于在响应于所述视频查找请求之前建立数据库，所述数据库包括图像表和视频表，其中，所述图像表用于存储图像库中各图像的图像拍摄信息，所述视频表用于存储视频库中各视频的视频拍摄信息。
基于此，前述图像拍摄信息获取模块12从所述数据库的图像表中获取与目标图像对应的目标图像拍摄信息。
前述视频查找模块13从所述数据库的视频表中查找目标视频拍摄信息，以使所述目标视频拍摄信息与所述目标图像拍摄信息满足预设的匹配条件，而后再从所述视频库中查找所述目标视频拍摄信息对应的视频，并将查找到的视频作为所述目标视频。
本实施例为获取目标图像拍摄信息和目标视频拍摄信息提供了便利。
实施例9
本实施例提供一种电子设备，电子设备可以通过计算设备的形式表现(例如可以为服务器设备)，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，其中处理器执行计算机程序时可以实现实施例1-4提供的视频查找方法。
图8示出了本实施例的硬件结构示意图，如图8所示，电子设备9具体包括：
至少一个处理器91、至少一个存储器92以及用于连接不同系统组件(包括处理器91和存储器92)的总线93，其中：
总线93包括数据总线、地址总线和控制总线。
存储器92包括易失性存储器，例如随机存取存储器(RAM)921和/或高速缓存存储器922，还可以进一步包括只读存储器(ROM)923。
存储器92还包括具有一组(至少一个)程序模块924的程序/实用工具925，这样的程序模块924包括但不限于：操作系统、一个或者多个应用程序、其它程序模块以及程序数据，这些示例中的每一个或某种组合中可能包括网络环境的实现。
处理器91通过运行存储在存储器92中的计算机程序，从而执行各种功能应用以及数据处理，例如本发明实施例1-4所提供的视频查找方法。
电子设备9进一步可以与一个或多个外部设备94(例如键盘、指向设备等)通信。这种通信可以通过输入/输出(I/O)接口95进行。并且，电子设备9还可以通过网络适配器96与一个或者多个网络(例如局域网(LAN)，广域网(WAN)和/或公共网络，例如因特网)通信。网络适配器96通过总线93与电子设备9的其它模块通信。应当明白，尽管图中未示出，可以结合电子设备9使用其它硬件和/或软件模块，包括但不限于：微代码、设备驱动器、冗余处理器、外部磁盘驱动阵列、RAID(磁盘阵列)系统、磁带驱动 器以及数据备份存储系统等。
应当注意，尽管在上文详细描述中提及了电子设备的若干单元/模块或子单元/模块，但是这种划分仅仅是示例性的并非强制性的。实际上，根据本申请的实施方式，上文描述的两个或更多单元/模块的特征和功能可以在一个单元/模块中具体化。反之，上文描述的一个单元/模块的特征和功能可以进一步划分为由多个单元/模块来具体化。
实施例10
本实施例提供了一种计算机可读存储介质，其上存储有计算机程序，所述程序被处理器执行时实现实施例1-4所提供的视频查找方法的步骤。
其中，可读存储介质可以采用的更具体可以包括但不限于：便携式盘、硬盘、随机存取存储器、只读存储器、可擦拭可编程只读存储器、光存储器件、磁存储器件或上述的任意合适的组合。
在可能的实施方式中，本发明还可以实现为一种程序产品的形式，其包括程序代码，当所述程序产品在终端设备上运行时，所述程序代码用于使所述终端设备执行实现实施例1-4所述的视频查找方法的步骤。
其中，可以以一种或多种程序设计语言的任意组合来编写用于执行本发明的程序代码，所述程序代码可以完全地在用户设备上执行、部分地在用户设备上执行、作为一个独立的软件包执行、部分在用户设备上部分在远程设备上执行或完全在远程设备上执行。
虽然以上描述了本发明的具体实施方式，但是本领域的技术人员应当理解，这仅是举例说明，本发明的保护范围是由所附权利要求书限定的。本领域的技术人员在不背离本发明的原理和实质的前提下，可以对这些实施方式做出多种变更或修改，但这些变更和修改均落入本发明的保护范围。

Claims (13)

  1. 一种视频查找方法，其特征在于，包括：
    响应于视频查找请求，获取目标图像；
    根据所述目标图像获取目标图像拍摄信息；
    根据所述目标图像拍摄信息获取视频库中的目标视频，以使所述目标视频的视频拍摄信息与所述目标图像拍摄信息满足预设的匹配条件。
  2. 根据权利要求1所述的视频查找方法，所述目标图像拍摄信息包括拍摄时间点，所述视频拍摄信息包括拍摄时间段；
    所述匹配条件包括：所述目标视频的拍摄时间段包括所述目标图像拍摄信息对应的拍摄时间点。
  3. 根据权利要求2所述的视频查找方法，所述目标图像拍摄信息和视频拍摄信息还包括拍摄设备标识；
    所述匹配条件还包括：所述目标视频的拍摄设备标识与所述目标图像拍摄信息对应的拍摄设备标识一致。
  4. 根据权利要求1所述的视频查找方法，所述视频查找请求包括：对目标图像的预设操作。
  5. 根据权利要求4所述的视频查找方法，所述预设操作为长按所述目标图像。
  6. 根据权利要求2或3所述的视频查找方法，在响应于所述视频查找请求之前，所述视频查找方法还包括：
    建立数据库，以存储所述视频库中各视频的视频拍摄信息；
    所述根据所述目标图像拍摄信息获取视频库中的目标视频，以使所述目标视频的视频拍摄信息与所述目标图像拍摄信息满足预设的匹配条件，包括：
    从所述数据库中查找目标视频拍摄信息，以使所述目标视频拍摄信息与 所述目标图像拍摄信息满足预设的匹配条件；
    从所述视频库中查找所述目标视频拍摄信息对应的视频，并将查找到的视频作为所述目标视频。
  7. 根据权利要求2或3所述的视频查找方法，在获取到所述目标视频之后，所述视频查找方法还包括：
    播放所述目标视频，并根据所述目标图像拍摄信息调节所述目标视频的播放进度。
  8. 一种视频查找系统，其特征在于，包括：
    目标图像获取模块，用于根据视频查找请求获取目标图像；
    图像拍摄信息获取模块，用于根据所述目标图像获取目标图像拍摄信息；
    视频查找模块，用于根据所述目标图像拍摄信息，获取视频库中的目标视频，以使所述目标视频的视频拍摄信息与所述目标图像拍摄信息满足预设的匹配条件。
  9. 根据权利要求8所述的视频查找系统，所述目标图像拍摄信息包括拍摄时间点，所述视频拍摄信息包括拍摄时间段；
    所述匹配条件包括：所述目标视频的拍摄时间段包括所述目标图像拍摄信息对应的拍摄时间点。
  10. 根据权利要求9所述的视频查找系统，所述目标图像拍摄信息和所述视频拍摄信息还包括拍摄设备标识；
    所述匹配条件包括：所述目标视频的拍摄设备标识与所述目标图像拍摄信息对应的拍摄设备标识一致。
  11. 根据权利要求8所述的视频查找系统，所述视频查找请求包括对目标图像的预设操作。
  12. 一种电子设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现 如权利要求1至7中任一项所述方法的步骤。
  13. 一种计算机可读存储介质，其上存储有计算机程序，其特征在于，所述计算机程序被处理器执行时实现如权利要求1至7中任一项所述方法的步骤。
PCT/CN2021/130887 2021-05-14 2021-11-16 视频查找方法、系统、电子设备及存储介质 WO2022237107A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202110526859.6A CN115348470B (zh) 2021-05-14 2021-05-14 视频查找方法、系统、电子设备及存储介质
CN202110526859.6 2021-05-14

Publications (1)

Publication Number Publication Date
WO2022237107A1 true WO2022237107A1 (zh) 2022-11-17

Family

ID=83946750

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2021/130887 WO2022237107A1 (zh) 2021-05-14 2021-11-16 视频查找方法、系统、电子设备及存储介质

Country Status (2)

Country Link
CN (1) CN115348470B (zh)
WO (1) WO2022237107A1 (zh)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050069291A1 (en) * 2003-09-25 2005-03-31 Voss James S. Systems and methods for locating a video file
CN104750698A (zh) * 2013-12-27 2015-07-01 三亚中兴软件有限责任公司 一种监控录像定位查找方法及系统
CN107404661A (zh) * 2017-08-23 2017-11-28 韩城黄河指尖影院有限公司 一种微电影视频获取方法及装置
CN109598188A (zh) * 2018-10-16 2019-04-09 深圳壹账通智能科技有限公司 信息推送方法、装置、计算机设备和存储介质
CN109982106A (zh) * 2019-04-29 2019-07-05 百度在线网络技术（北京）有限公司 一种视频推荐方法、服务器、客户端及电子设备
CN111475677A (zh) * 2020-04-30 2020-07-31 Oppo广东移动通信有限公司 图像处理方法、装置、存储介质及电子设备

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108733807A (zh) * 2018-05-18 2018-11-02 北京小米移动软件有限公司 查找照片的方法及装置
CN108600779B (zh) * 2018-05-18 2021-04-06 新华三信息技术有限公司 一种基于视频内容的目标对象操作方法及装置

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050069291A1 (en) * 2003-09-25 2005-03-31 Voss James S. Systems and methods for locating a video file
CN104750698A (zh) * 2013-12-27 2015-07-01 三亚中兴软件有限责任公司 一种监控录像定位查找方法及系统
CN107404661A (zh) * 2017-08-23 2017-11-28 韩城黄河指尖影院有限公司 一种微电影视频获取方法及装置
CN109598188A (zh) * 2018-10-16 2019-04-09 深圳壹账通智能科技有限公司 信息推送方法、装置、计算机设备和存储介质
CN109982106A (zh) * 2019-04-29 2019-07-05 百度在线网络技术（北京）有限公司 一种视频推荐方法、服务器、客户端及电子设备
CN111475677A (zh) * 2020-04-30 2020-07-31 Oppo广东移动通信有限公司 图像处理方法、装置、存储介质及电子设备

Also Published As

Publication number Publication date
CN115348470A (zh) 2022-11-15
CN115348470B (zh) 2024-06-28

Similar Documents

Publication Publication Date Title
EP2717564B1 (en) Method, device and system for realizing video retrieval
US7574435B2 (en) Hierarchical storage management of metadata
US8161321B2 (en) Virtual machine-based on-demand parallel disaster recovery system and the method thereof
US9773059B2 (en) Tape data management
US20170116220A1 (en) Synchronized test master
CA2565050A1 (en) Media asset management system for managing video segments from fixed-area security cameras and associated methods
US20120102076A1 (en) Information processing apparatus, information processing method, and program
KR101693683B1 (ko) 가상 데이터베이스 되감기
US20060287990A1 (en) Method of file accessing and database management in multimedia device
JP2003259268A (ja) 動画像管理方法及び装置
CN110597762A (zh) 文件处理方法、装置、设备及存储介质
BR122021013788B1 (pt) Método para identificar um indivíduo em um fluxo contínuo de conteúdo de mídia, e, sistema para identificar um indivíduo em um fluxo contínuo de conteúdo de mídia
WO2018014711A1 (zh) 一种录像播放方法及装置
WO2017096850A1 (zh) 文件系统同步的方法及装置
KR20170098139A (ko) 영상 요약 장치 및 방법
JP2006338620A (ja) 画像データ検索装置及び方法、並びにプログラム
CN109416617A (zh) 异构存储系统之间的复制
JP6214762B2 (ja) 画像検索システム、検索画面表示方法
CN110134551A (zh) 一种持续数据保护方法及装置
WO2022237107A1 (zh) 视频查找方法、系统、电子设备及存储介质
JP2007527572A5 (zh)
JP5480495B2 (ja) 情報処理装置及び情報処理方法、並びに情報処理システム
US20100030742A1 (en) System and method for capturing, storing, retrieving, and publishing data
JP4326753B2 (ja) 映像情報インデキシング支援システム、プログラム及び記憶媒体
US8145602B2 (en) Storage apparatus, data restoration method and computer system

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21941671

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21941671

Country of ref document: EP

Kind code of ref document: A1