CN114564614A - Automatic searching method, system and device for video clip and readable storage medium - Google Patents

Automatic searching method, system and device for video clip and readable storage medium Download PDF

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CN114564614A
CN114564614A CN202210108784.4A CN202210108784A CN114564614A CN 114564614 A CN114564614 A CN 114564614A CN 202210108784 A CN202210108784 A CN 202210108784A CN 114564614 A CN114564614 A CN 114564614A
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video
search
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张旭佑
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Suzhou Inspur Intelligent Technology Co Ltd
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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
    • 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
    • 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
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/08—Speech classification or search
    • G10L15/18—Speech classification or search using natural language modelling
    • G10L15/1822—Parsing for meaning understanding
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/26—Speech to text systems

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Abstract

The invention provides a method, a system, a device and a readable storage medium for automatically searching video clips, wherein the method comprises the following steps: uploading the video streaming to a video storage device by a video creator, and synchronously establishing a fragment keyword database of the streaming video through a voice recognition AI model; respectively associating a video search engine with a video storage device and a keyword database; a watching user logs in a video search engine through a client and inputs keywords, and the video search engine finds corresponding video segments from a video storage device through the keywords and pushes the video segments to the client; and the watching user plays the pushed video clip through the client. The invention records the video content by automatically recognizing the voice and the semantics and realizes the automatic video segment recording and searching with low operation resources.

Description

Automatic searching method, system and device for video clip and readable storage medium
Technical Field
The invention relates to the technical field of video data searching, in particular to a method, a system and a device for automatically searching video clips and a readable storage medium.
Background
With the continuous development of multimedia services, the number of videos is increasing. In order to get rid of the traditional mode that only television videos can be watched passively, more and more people select to acquire videos to be watched through a network searching mode. Therefore, video searching also becomes a key link for acquiring videos.
Currently, the video search function is usually implemented by means of keyword search. This approach can only search for video with a title or description matching, and it is necessary to see the movie out to know whether the required segment is located in a few minutes or seconds, or to see the movie out to know whether there is the required content. However, when trying to search information quickly, it is time consuming to watch the film, so how to search interesting segments quickly is an important issue.
Aiming at the realization of the video clip searching function, the following three modes are mainly adopted in the prior art;
1. the video creator marks a time stamp setting paragraph in the film description and a key explanation by himself, so that a watching user can directly click and read the paragraph.
2. The clip segments are artificially set in advance for the subsequent viewers to click.
3. The video image content characteristics are analyzed, and the characteristics and the time points are recorded for searching segments in a subsequent search.
In the existing method, the creator needs to manually label the paragraphs by the method that the creator of the video marks the paragraphs, and the video can be searched through the title first, and then the user can click and select the marked paragraphs after clicking and selecting the video; if the difference between the title and the paragraph occurs, the video cannot be searched. The method for labeling by analyzing the content characteristics of the video image requires a large amount of computing resources due to the complexity of selecting and comparing the image characteristics.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide a method, a system, a device and a readable storage medium for automatically searching video clips, which record video contents in a manner of automatically recognizing voice and semantics, and realize automatic recording and searching of video clips with low computational resources.
In order to achieve the purpose, the invention is realized by the following technical scheme: an automatic video segment searching method comprises the following steps:
uploading the video streaming to a video storage device by a video creator, and synchronously establishing a fragment keyword database of the streaming video through a voice recognition AI model;
Respectively associating a video search engine with a video storage device and a keyword database;
a watching user logs in a video search engine through a client and inputs keywords, and the video search engine finds corresponding video segments from a video storage device through the keywords and pushes the video segments to the client;
and the watching user plays the pushed video clip through the client.
Further, the creating of the segment keyword database of the streaming video through the voice recognition AI model includes: performing voice recognition on the uploaded video streaming through a voice recognition AI model to establish a subtitle file with a time axis;
automatically screening out keywords in the subtitle files as search keywords of the video clips through a preset semantic recognition system;
the semantic recognition system establishes a fragment keyword database of the streaming video according to the search keywords.
Further, the semantic recognition system establishes a segment keyword database of the streaming video according to the search keywords, comprising:
the semantic recognition system generates corresponding video numbers and time stamps according to the search keywords;
the search key, the video number and the time stamp are stored to the segment key db.
Further, the video search engine finds out a corresponding video clip from a video storage device through a keyword and pushes the video clip to a client, and the method comprises the following steps:
The video search engine finds the same search key words in the fragment key word database through the key words;
obtaining corresponding video numbers and time stamps according to the found search keywords;
finding a corresponding video clip in the video storage device according to the video number and the time stamp;
and the video storage device sends the video streaming corresponding to the video clip to the client.
Further, the watching user logs in the video search engine through the client and inputs keywords, specifically:
the watching user logs in the video search engine through the client AND inputs the advanced keywords through the AND operator.
Correspondingly, the invention also discloses an automatic searching system for video clips, which comprises:
the video streaming input module is used for uploading video streaming to the video storage device by a video creator and synchronously establishing a fragment keyword database of the streaming video through a voice recognition AI model;
the correlation module is used for correlating the video search engine with the video storage device and the keyword database respectively; the search module is used for enabling a watching user to log in a video search engine through a client and input keywords, and the video search engine finds corresponding video segments from the video storage device through the keywords and pushes the video segments to the client; and the playing module is used for watching the video clips pushed by the user through the client.
Further, the video stream input module includes:
the word stock file building unit is used for carrying out voice recognition on the uploaded video streaming through a voice recognition AI model so as to build a subtitle file with a time axis;
the keyword screening unit is used for automatically screening out keywords in the subtitle files as search keywords of the video clips through a preset semantic recognition system;
and the segment keyword database building unit is used for building a segment keyword database of the streaming video according to the search keywords through the semantic recognition system.
Further, the search module includes:
the comparison unit is used for finding the same search key words in the fragment key word database by the video search engine through the key words;
a mark acquisition unit for acquiring a corresponding video number and a time stamp according to the found search keyword; a video clip acquiring unit for finding a corresponding video clip in the video storage device according to the video number and the time stamp;
and the video streaming pushing unit is used for sending the video streaming corresponding to the video clip to the client through the video storage device.
Correspondingly, the invention discloses an automatic searching device for video clips, which comprises:
A memory for storing a video clip automatic search program;
a processor for implementing the steps of the video segment automatic search method according to any one of the above items when executing the video segment automatic search program.
Accordingly, the present invention discloses a readable storage medium, on which a video segment automatic search program is stored, which when executed by a processor implements the steps of the video segment automatic search method as described in any one of the above.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention provides a method, a system and a device for automatically searching video clips and a readable storage medium, which automatically establish a clip keyword database of streaming video through a voice recognition AI model and a semantic recognition system, search the clip keyword database by using keywords and acquire corresponding video clips through video numbers and time stamps.
2. The method can automatically establish the key segments without manual marking.
3. The computing resources for intelligent voice/semantic recognition calculation are far less than those required by image recognition calculation.
4. Because the computing resource of the intelligent voice/semantic recognition calculation is smaller, the invention can recognize the video with high resolution and high frame rate in real time.
Therefore, compared with the prior art, the invention has prominent substantive features and remarkable progress, and the beneficial effects of the implementation are also obvious.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a process flow diagram of an embodiment of the present invention.
FIG. 2 is a system block diagram of an embodiment of the present invention.
In the figure, 1 is a video stream input module; 2 is a correlation module; 3 is a search module; 4 is a playing module; 11 is a word stock file building unit; 12 is a keyword screening unit; 13 is a fragment keyword database building unit; 31 is a comparison unit; 32 is a mark acquisition unit; 33 is a video clip acquiring unit; 34 is a video stream push unit.
Detailed Description
The core of the invention is to provide an automatic searching method of video segments, in the prior art, a method for marking segments by a video creator needs manual marking of the creator, and the video can be searched through a title first, and then the marking segments can be clicked after a user watches to click the video; if the difference between the title and the paragraph occurs, the video cannot be searched. The method for labeling by analyzing the content characteristics of the video image requires a large amount of computing resources due to the complexity of selecting and comparing the image characteristics.
The invention provides a method for automatically searching video clips, which comprises the steps that firstly, a video creator uploads a video streaming to a video storage device, and a clip keyword database of the streaming video is synchronously established through an AI model. The video search engine is then associated with a video storage device and a keyword repository, respectively. At the moment, a watching user logs in a video search engine through a client and inputs keywords, and the video search engine finds out corresponding video segments from a video storage device through the keywords and pushes the video segments to the client; and finally, the watching user plays the pushed video clip through the client. Therefore, the invention records the video content by automatically recognizing the voice and the semantics and realizes the automatic video segment recording and searching with low operation resources.
In order that those skilled in the art will better understand the disclosure, the invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It should be apparent that the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
as shown in fig. 1, the present embodiment provides an automatic video segment searching method, which includes the following steps:
s1: the video creator uploads the video streaming to the video storage device and synchronously establishes a fragment keyword database of the streaming video through the voice recognition AI model.
When a segment keyword database of streaming video is established, firstly, voice recognition is carried out on the uploaded video streaming through a voice recognition AI model so as to establish a subtitle file with a time axis. And then, automatically screening out keywords in the subtitle file as search keywords of the video clip through a preset semantic recognition system. And finally, the semantic recognition system establishes a fragment keyword database of the streaming video according to the search keywords.
For example, when the semantic recognition system builds the segment keyword database of the streaming video according to the search keywords, it is first necessary to perform speech recognition on the uploaded video streaming through the speech recognition AI model to build the subtitle file with the time axis. And then, automatically screening out keywords in the subtitle files as search keywords of the video clips through a preset semantic recognition system. And finally, establishing a fragment keyword database of the streaming video by the semantic recognition system according to the search keywords.
The present step is based on the current situation that the AI model for speech recognition is already quite mature and accurate, and has been widely used in the application of automatic captioning. Therefore, when a video creator uploads a film stream, voice recognition can be performed simultaneously, and subtitles with a time axis are automatically established.
During operation, the semantic recognition system can automatically select the keywords in the subtitle file as the search keywords of the video clip, and the video number and the time axis (XX: XX: XX, XXX) of the clip are established as the result of the keywords. The AI model and the semantic recognition system can be integrated into a single "keyword automatic recognition" engine, and a fragment keyword database of the streaming video can be established in real time through the engine.
S2: the video search engine is associated with a video storage device and a keyword repository, respectively.
S3: the watching user logs in the video search engine through the client and inputs keywords, and the video search engine finds corresponding video clips from the video storage device through the keywords and pushes the video clips to the client.
Specifically, the same search keyword is first found in the segment keyword library by the video search engine through the keyword. At this time, the corresponding video number and time stamp are obtained according to the found search keyword. Then, the corresponding video segment is found in the video storage device according to the video number and the time stamp. And finally, the video storage device sends the video streaming corresponding to the video clip to the client.
In addition, when a keyword is input, a further keyword may be input through an AND operator. To implement an advanced search.
As an example, the video clip searching process specifically includes the following steps:
1. the user enters a keyword.
2. And performing keyword search through a video search engine.
3. And acquiring the video number and the time stamp which accord with the search condition in the fragment keyword database.
4. The corresponding video segment is found from the video storage device.
5. And recommending the video clip to the user.
S4: and the watching user plays the pushed video clip through the client.
The embodiment provides an automatic video clip searching method, which automatically establishes a clip keyword database of streaming video through a voice recognition AI model and a semantic recognition system, can search the clip keyword database by using keywords, and obtains corresponding video clips through video numbers and time stamps. The method records the video content by automatically recognizing the voice and the semantics and realizes the automatic video segment recording and searching with low operation resources.
Example two:
based on the first embodiment, as shown in fig. 2, the present invention also discloses an automatic video segment searching system, which includes: the device comprises a video streaming input module 1, an association module 2, a search module 3 and a play module 4.
The video streaming input module 1 is used for uploading video streaming to a video storage device by a video creator, and synchronously establishing a fragment keyword database of streaming video through a voice recognition AI model.
Specifically, the video stream input 1 module includes: a word stock file building unit 11, a keyword screening unit 12 and a segment keyword stock building unit 13.
A font file creating unit 11, configured to perform speech recognition on the uploaded video stream through the speech recognition AI model to create a subtitle file with a time axis.
And the keyword screening unit 12 is configured to automatically screen out keywords in the subtitle file as search keywords of the video clip through a preset semantic recognition system.
A segment keyword database building unit 13, configured to build a segment keyword database of the streaming video according to the search keywords through the semantic recognition system.
And the association module 2 is used for associating the video search engine with the video storage device and the keyword database respectively.
And the searching module 3 is used for enabling a watching user to log in a video searching engine through the client and input keywords, and the video searching engine finds out corresponding video clips from the video storage device through the keywords and pushes the video clips to the client.
Specifically, the search module 3 includes: a comparison unit 31, a mark acquisition unit 32, a video segment acquisition unit 33 and a video stream pushing unit 34.
And the comparison unit 31 is used for the video search engine to find the same search keyword in the fragment keyword database through the keyword.
And a mark acquiring unit 32, configured to acquire a corresponding video number and a time stamp according to the found search keyword.
A video clip retrieving unit 33, configured to find a corresponding video clip in the video storage device according to the video number and the time stamp.
The video stream pushing unit 34 is configured to send the video stream corresponding to the video segment to the client through the video storage device.
And the playing module 4 is used for watching the video clips pushed by the user through the client.
The embodiment provides an automatic video clip searching system, which can automatically establish a clip keyword database of streaming video through a voice recognition AI model and a semantic recognition system, search the clip keyword database by using keywords, and obtain corresponding video clips through video numbers and time stamps.
Example three:
the embodiment discloses an automatic video segment searching device, which comprises a processor and a memory; wherein the processor implements the following steps when executing the video segment auto-search program stored in the memory:
1. The video creator uploads the video stream to the video storage device and synchronously establishes a fragment keyword database of the streaming video through the AI model.
2. The video search engine is associated with a video storage device and a keyword repository, respectively.
3. The watching user logs in the video search engine through the client and inputs keywords, and the video search engine finds corresponding video segments from the video storage device through the keywords and pushes the video segments to the client.
4. And the watching user plays the pushed video clip through the client.
Further, the automatic video segment search device in this embodiment may further include:
and the input interface is used for acquiring an externally introduced video segment automatic search program, storing the acquired video segment automatic search program into the memory, and also used for acquiring various instructions and parameters transmitted by external terminal equipment and transmitting the instructions and parameters to the processor so that the processor can perform corresponding processing by utilizing the instructions and the parameters. In this embodiment, the input interface may specifically include, but is not limited to, a USB interface, a serial interface, a voice input interface, a fingerprint input interface, a hard disk reading interface, and the like.
And the output interface is used for outputting various data generated by the processor to the terminal equipment connected with the output interface so that other terminal equipment connected with the output interface can acquire various data generated by the processor. In this embodiment, the output interface may specifically include, but is not limited to, a USB interface, a serial interface, and the like.
And the communication unit is used for establishing remote communication connection between the automatic video clip searching device and the external server so that the automatic video clip searching device can mount the mirror image file into the external server. In this embodiment, the communication unit may specifically include, but is not limited to, a remote communication unit based on a wireless communication technology or a wired communication technology.
And the keyboard is used for acquiring various parameter data or instructions input by a user through real-time key cap knocking.
And the display is used for displaying relevant information in the short circuit positioning process of the power supply line of the running server in real time.
The mouse can be used for assisting a user in inputting data and simplifying the operation of the user.
Example four:
the present embodiments also disclose a readable storage medium, where the readable storage medium includes Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, a hard disk, a removable hard disk, a CD-ROM, or any other form of storage medium known in the art. The readable storage medium has stored therein a video clip automatic search program, which when executed by a processor, performs the steps of:
1. The video creator uploads the video stream to the video storage device and synchronously establishes a fragment keyword database of the streaming video through the AI model.
2. The video search engine is associated with a video storage device and a keyword repository, respectively.
3. The watching user logs in the video search engine through the client and inputs keywords, and the video search engine finds corresponding video clips from the video storage device through the keywords and pushes the video clips to the client.
4. And the watching user plays the pushed video clip through the client.
In conclusion, the invention records the video content by automatically recognizing the voice and the semantics and realizes the automatic video segment recording and searching with low computational resource.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The method disclosed by the embodiment corresponds to the system disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the description of the method part.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided by the present invention, it should be understood that the disclosed system, system and method can be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, systems or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each module may exist alone physically, or two or more modules are integrated into one unit.
Similarly, each processing unit in the embodiments of the present invention may be integrated into one functional module, or each processing unit may exist physically, or two or more processing units are integrated into one functional module.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it should also be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The method, system, device and readable storage medium for automatically searching video clips provided by the present invention are described in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.

Claims (10)

1. An automatic video segment searching method, comprising:
uploading the video streaming to a video storage device by a video creator, and synchronously establishing a fragment keyword database of the streaming video through an AI model;
respectively associating a video search engine with a video storage device and a keyword database;
a watching user logs in a video search engine through a client and inputs keywords, and the video search engine finds corresponding video segments from a video storage device through the keywords and pushes the video segments to the client;
and the watching user plays the pushed video clip through the client.
2. The method of claim 1, wherein the creating a segment keyword library of the streaming video through the AI model comprises:
performing voice recognition on the uploaded video streaming through a voice recognition AI model to establish a subtitle file with a time axis;
automatically screening out keywords in the subtitle files as search keywords of the video clips through a preset semantic recognition system;
the semantic recognition system establishes a fragment keyword database of the streaming video according to the search keywords.
3. The method of claim 2, wherein the semantic recognition system builds a segment keyword database of the streaming video according to the search keywords, comprising:
the semantic recognition system generates corresponding video numbers and time stamps according to the search keywords;
the search key, the video number and the time stamp are stored to the segment key db.
4. The method of claim 3, wherein the video search engine finds a corresponding video segment from a video storage device by using a keyword and pushes the video segment to the client, and comprises:
The video search engine finds the same search keyword in the fragment keyword database through the keyword;
obtaining corresponding video numbers and time stamps according to the found search keywords;
finding out a corresponding video clip in a video storage device according to the video number and the time stamp;
and the video storage device sends the video streaming corresponding to the video clip to the client.
5. The method according to claim 4, wherein the viewing user logs in the video search engine through the client and inputs keywords, specifically:
the watching user logs in the video search engine through the client AND inputs the advanced keyword through the AND operator.
6. An automatic video segment searching system, characterized in that,
the video streaming input module is used for uploading video streaming to the video storage device by a video creator and synchronously establishing a fragment keyword database of the streaming video through a voice recognition AI model;
the correlation module is used for correlating the video search engine with the video storage device and the keyword database respectively;
the search module is used for enabling a watching user to log in a video search engine through a client and input keywords, and the video search engine finds corresponding video segments from the video storage device through the keywords and pushes the video segments to the client;
And the playing module is used for watching the video clips pushed by the user through the client.
7. The system of claim 6, wherein the video stream input module comprises:
the word stock file building unit is used for carrying out voice recognition on the uploaded video streaming through a voice recognition AI model so as to build a subtitle file with a time axis;
the keyword screening unit is used for automatically screening out keywords in the subtitle files as search keywords of the video clips through a preset semantic recognition system;
and the fragment keyword database building unit is used for building a fragment keyword database of the streaming video according to the search keywords through the semantic recognition system.
8. The video clip auto-search system of claim 7, wherein the search module comprises:
the comparison unit is used for finding the same search key words in the fragment key word database by the video search engine through the key words;
a mark acquisition unit for acquiring a corresponding video number and a time stamp according to the found search keyword;
a video clip acquiring unit for finding a corresponding video clip in the video storage device according to the video number and the time stamp;
And the video streaming pushing unit is used for sending the video streaming corresponding to the video clip to the client through the video storage device.
9. An apparatus for automatically searching for a video clip, comprising:
a memory for storing a video clip automatic search program;
a processor for implementing the steps of the video segment automatic search method according to any one of claims 1 to 5 when executing the video segment automatic search program.
10. A readable storage medium, characterized by: the readable storage medium has stored thereon a video clip automatic search program, which when executed by a processor, implements the steps of the video clip automatic search method according to any one of claims 1 to 5.
CN202210108784.4A 2022-01-28 2022-01-28 Automatic searching method, system and device for video clip and readable storage medium Pending CN114564614A (en)

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