CN113676758A - Index generation method, client, server, electronic device, and storage medium - Google Patents

Index generation method, client, server, electronic device, and storage medium Download PDF

Info

Publication number
CN113676758A
CN113676758A CN202110790351.7A CN202110790351A CN113676758A CN 113676758 A CN113676758 A CN 113676758A CN 202110790351 A CN202110790351 A CN 202110790351A CN 113676758 A CN113676758 A CN 113676758A
Authority
CN
China
Prior art keywords
video
processed
heartbeat information
user
guide point
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
CN202110790351.7A
Other languages
Chinese (zh)
Inventor
罗熹之
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing QIYI Century Science and Technology Co Ltd
Original Assignee
Beijing QIYI Century Science and Technology Co Ltd
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 Beijing QIYI Century Science and Technology Co Ltd filed Critical Beijing QIYI Century Science and Technology Co Ltd
Priority to CN202110790351.7A priority Critical patent/CN113676758A/en
Publication of CN113676758A publication Critical patent/CN113676758A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866—Management of end-user data
    • H04N21/25891—Management of end-user data being end-user preferences
    • 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
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/266—Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel
    • H04N21/26603—Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel for automatically generating descriptors from content, e.g. when it is not made available by its provider, using content analysis techniques
    • 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
    • H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44213—Monitoring of end-user related data
    • H04N21/44218—Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program
    • 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
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/4508—Management of client data or end-user data
    • H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences

Abstract

The embodiment of the invention provides an index generation method, a client, a server, electronic equipment and a storage medium. The index generation method comprises the following steps: a client receives a video to be processed sent by a server; in the process of playing the video to be processed, acquiring user heartbeat information corresponding to a guide point in the video to be processed; the guide point is a time point for guiding the user to carry out heartbeat detection; uploading the guide point and the user heartbeat information corresponding to the guide point to a server; and the guide point and the user heartbeat information corresponding to the guide point are used as a basis for the server to generate the attraction degree index of the video to be processed. According to the embodiment of the invention, the attraction degree index of the video can be obtained based on the heartbeat information of the user when the user really watches the video, so that the real interest of the user in the video can be more accurately shown.

Description

Index generation method, client, server, electronic device, and storage medium
Technical Field
The present invention relates to the field of internet technologies, and in particular, to an index generation method, a client, a server, an electronic device, and a storage medium.
Background
With the rapid development of internet technology, users increasingly rely on obtaining various information through networks. In order to meet the needs of users, various video websites come along, and the video websites can provide various information such as videos for the users.
The video website usually analyzes the video to obtain relevant indexes of the video, such as a play amount index and a search amount index of the video. The video website can perform video recommendation and other services based on the relevant indexes of the video.
However, the current video indexes are not comprehensive enough, and the video cannot be described more accurately.
Disclosure of Invention
The embodiment of the invention aims to provide an index generation method, a client, a server, electronic equipment and a storage medium, so as to generate an attraction index of a video and increase the dimensionality of the video index. The specific technical scheme is as follows:
in a first aspect of the present invention, there is provided an index generating method, executed on a client, the method including:
receiving a video to be processed sent by a server;
in the process of playing the video to be processed, acquiring user heartbeat information corresponding to a guide point in the video to be processed; the guide point is a time point for guiding the user to carry out heartbeat detection;
uploading the guide point and the user heartbeat information corresponding to the guide point to a server; and the guide point and the user heartbeat information corresponding to the guide point are used as a basis for the server to generate the attraction degree index of the video to be processed.
Optionally, the video to be processed includes at least one guide point; the acquiring of the user heartbeat information corresponding to the guidance point in the video to be processed includes: and when the guide point is played, detecting the user heartbeat information corresponding to the guide point.
Optionally, the client provides a detection portal; the acquiring of the user heartbeat information corresponding to the guidance point in the video to be processed includes: when a detection request triggered by a user based on the detection entrance is received, taking the time point of receiving the detection request as a guide point in the video to be processed; and detecting the heartbeat information of the user corresponding to the guide point.
Optionally, the obtaining of the user heartbeat information corresponding to the guidance point in the video to be processed includes: acquiring historical user heartbeat information corresponding to each historical time point obtained by detection in the process that a user historically watches the video to be processed; selecting a target historical time point of which the historical user heartbeat information exceeds a preset heartbeat threshold value, acquiring a target time point matched with the target historical time point in the video to be processed, and taking the target time point as a guide point in the video to be processed; and taking the historical user heartbeat information corresponding to the guide point as the user heartbeat information corresponding to the guide point.
Optionally, the detecting the user heartbeat information corresponding to the guidance point includes: calling a camera of a mobile terminal where the client is located to perform heartbeat detection, and acquiring user heartbeat information which is obtained by the detection of the camera and corresponds to the guide point; or calling wearable equipment connected with the mobile terminal where the client side is located to perform heartbeat detection, and acquiring user heartbeat information which is obtained by detection of the wearable equipment and corresponds to the guide point.
In a second aspect of the present invention, there is provided an index generating method, executed on a server, the method including:
acquiring a video to be processed, and sending the video to be processed to a client;
receiving a guide point in the video to be processed and user heartbeat information corresponding to the guide point uploaded by the client; the client side acquires user heartbeat information corresponding to the guide point in the process of playing the video to be processed;
and generating an attraction degree index of the video to be processed based on the guide point and the user heartbeat information corresponding to the guide point.
Optionally, the generating an attraction degree index of the to-be-processed video based on the guide point and the user heartbeat information corresponding to the guide point includes: when the number of the guide points is larger than or equal to a preset number threshold value, returning to the step of acquiring the video to be processed and sending the video to be processed to a client; when the number of the guide points is smaller than the number threshold, average user heartbeat information corresponding to each guide point is respectively calculated, and at least one target guide point with the highest average user heartbeat information is selected; and generating an attraction degree index of the video to be processed based on the target guide point and the average user heartbeat information corresponding to the target guide point.
Optionally, the generating an attraction degree index of the to-be-processed video based on the target guidance point and the average user heartbeat information corresponding to the target guidance point includes: when the target guide point is one, taking average user heartbeat information corresponding to the target guide point as an attraction degree index of the video to be processed; when the number of the target guide points is at least two, acquiring a video clip corresponding to each target guide point, taking average user heartbeat information corresponding to the target guide points as user heartbeat information corresponding to the video clip, and taking the video clip and the user heartbeat information corresponding to the video clip as an attraction index of the video to be processed.
Optionally, the acquiring the video to be processed includes: under the condition of issuing the video to be processed for the first time, setting a plurality of guide points according to the duration of the video to be processed, and adding the guide points to the video to be processed corresponding to each client; under the condition that the video to be processed is not issued for the first time, average user heartbeat information is calculated for each received guide point, a part of guide points with the highest average user heartbeat information is selected, and the part of guide points is added into the video to be processed corresponding to each client; and adding at least one guide point in the video to be processed corresponding to each client.
In a third aspect of the present invention, there is provided a client, including:
the first receiving module is used for receiving the video to be processed sent by the server;
the acquisition module is used for acquiring user heartbeat information corresponding to a guide point in the video to be processed in the process of playing the video to be processed; the guide point is a time point for guiding the user to carry out heartbeat detection;
the uploading module is used for uploading the guide point and the user heartbeat information corresponding to the guide point to a server; and the guide point and the user heartbeat information corresponding to the guide point are used as a basis for the server to generate the attraction degree index of the video to be processed.
Optionally, the video to be processed includes at least one guide point; the acquisition module includes: and the first detection unit is used for detecting the user heartbeat information corresponding to the guide point when the guide point is played.
Optionally, the client provides a detection portal; the acquisition module includes: the second detection unit is used for taking the time point of receiving the detection request as a guide point in the video to be processed when receiving the detection request triggered by the user based on the detection entrance; and detecting the heartbeat information of the user corresponding to the guide point.
Optionally, the obtaining module includes: the information acquisition unit is used for acquiring historical user heartbeat information corresponding to each historical time point detected and obtained in the process that the user historically watches the video to be processed; the first selecting unit is used for selecting a target historical time point of which the historical user heartbeat information exceeds a preset heartbeat threshold value, acquiring a target time point matched with the target historical time point in the video to be processed, taking the target time point as a guide point in the video to be processed, and taking the historical user heartbeat information corresponding to the guide point as the user heartbeat information corresponding to the guide point.
Optionally, the first detecting unit is specifically configured to call a camera of a mobile terminal where the client is located to perform heartbeat detection, and acquire user heartbeat information corresponding to the guidance point, which is obtained by the detection of the camera; or calling wearable equipment connected with the mobile terminal where the client side is located to perform heartbeat detection, and acquiring user heartbeat information which is obtained by detection of the wearable equipment and corresponds to the guide point.
In a fourth aspect of the present invention, there is provided a server comprising:
the sending module is used for obtaining a video to be processed and sending the video to be processed to the client;
the second receiving module is used for receiving the guide point in the video to be processed and the user heartbeat information corresponding to the guide point uploaded by the client; the client side acquires user heartbeat information corresponding to the guide point in the process of playing the video to be processed;
and the generating module is used for generating an attraction degree index of the video to be processed based on the guide point and the user heartbeat information corresponding to the guide point.
Optionally, the generating module includes: the calling unit is used for calling the sending module when the number of the guide points is larger than or equal to a preset number threshold; the second selection unit is used for respectively calculating average user heartbeat information corresponding to each guide point when the number of the guide points is smaller than the number threshold value, and selecting at least one target guide point with the highest average user heartbeat information; and the index generating unit is used for generating an attraction index of the video to be processed based on the target guide point and the average user heartbeat information corresponding to the target guide point.
Optionally, the index generating unit is specifically configured to, when there is one target guidance point, use average user heartbeat information corresponding to the target guidance point as an attraction index of the video to be processed; when the number of the target guide points is at least two, acquiring a video clip corresponding to each target guide point, taking average user heartbeat information corresponding to the target guide points as user heartbeat information corresponding to the video clip, and taking the video clip and the user heartbeat information corresponding to the video clip as an attraction index of the video to be processed.
Optionally, the sending module includes: the first adding unit is used for setting a plurality of guide points according to the duration of the video to be processed under the condition of issuing the video to be processed for the first time, and adding the guide points to the video to be processed corresponding to each client; the second adding unit is used for respectively calculating average user heartbeat information aiming at each received guide point under the condition that the video to be processed is not issued for the first time, selecting partial guide points with the highest average user heartbeat information, and adding the partial guide points to the video to be processed corresponding to each client; and adding at least one guide point in the video to be processed corresponding to each client.
In another aspect of the present invention, there is also provided an electronic device, including a processor, a communication interface, a memory and a communication bus, where the processor, the communication interface, and the memory complete communication with each other through the communication bus; a memory for storing a computer program; and a processor for implementing any of the above-described index generation methods executed by the client or any of the above-described index generation methods executed by the server when executing the program stored in the memory.
In yet another aspect of the present invention, there is also provided a computer-readable storage medium having stored therein instructions, which when run on a computer, cause the computer to implement any of the above-described index generation methods performed by a client or implement any of the above-described index generation methods performed by a server.
In yet another aspect of the present invention, there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to implement any of the above-described index generation methods performed by a client, or any of the above-described index generation methods performed by a server.
According to the index generation method, the client, the server, the electronic device and the storage medium provided by the embodiment of the invention, the client acquires the user heartbeat information corresponding to the guide point in the video to be processed in the process of playing the video to be processed, and uploads the guide point and the user heartbeat information corresponding to the guide point to the server. The server can generate an attraction degree index of the video to be processed based on the guide point in the video to be processed and the user heartbeat information corresponding to the guide point. In the embodiment of the invention, the guide point is a time point for guiding the user to carry out heartbeat detection, when the user is interested in a watched video at a certain time point, the emotion of the user is excited, and the heartbeat of the user is accelerated, so that the heartbeat information of the user can reflect the real attraction degree of the video to the user. Therefore, the real interest of the user in the video can be more accurately indicated based on the attraction degree index obtained by the heartbeat information of the user when the user really watches the video.
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.
Fig. 1 is a flowchart illustrating steps of an index generation method according to an embodiment of the present invention.
Fig. 2 is a flowchart illustrating another exemplary method for generating an index according to an embodiment of the present invention.
Fig. 3 is a flowchart illustrating a procedure of another index generation method according to an embodiment of the present invention.
Fig. 4 is a block diagram of a client in the embodiment of the present invention.
Fig. 5 is a block diagram of another client in the embodiment of the present invention.
Fig. 6 is a block diagram of a server according to an embodiment of the present invention.
Fig. 7 is a block diagram of another server according to an embodiment of the present invention.
Fig. 8 is a block diagram of an electronic device in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention.
The video indexes can be applied to various scenes such as video recommendation and video ranking lists. The video index may include a play amount index, a search amount index, a score index, and the like of the video. The embodiment of the invention is based on the consideration of the feeling of the user when the user really watches the video, and the heartbeat information of the user corresponding to the guide point in the video is detected when the user watches the video, so that a new attraction index under dimensionality is obtained through analysis, and the real interest of the user in the video is more accurately shown.
Fig. 1 is a flowchart illustrating steps of an index generation method according to an embodiment of the present invention. The index generation method shown in fig. 1 is executed on the client.
As shown in fig. 1, the index generation method may include the steps of:
step 101, a client receives a video to be processed sent by a server.
The video to be processed refers to the video needing to generate the attraction degree index. The client receives the video to be processed sent by the server, and the user can select to play the video to be processed.
102, the client acquires user heartbeat information corresponding to a guide point in the video to be processed in the process of playing the video to be processed.
Wherein, the guide point in the video to be processed may include but is not limited to at least one of the following: the method comprises the steps that a server is added to a guide point in a to-be-processed video in advance, the guide point generated after a user actively triggers a detection request in the process of watching the to-be-processed video, the guide point generated in the process of watching the to-be-processed video by the user in history, and the like. Details will be described later in the examples.
The guide point is a time point for guiding the user to perform heartbeat detection, so that the client can respectively acquire user heartbeat information corresponding to each guide point in the video to be processed in the process of playing the video to be processed. The heartbeat information of the user may refer to heart rate, pulse, etc. of the user.
And 103, uploading the guide point and the user heartbeat information corresponding to the guide point to a server by the client.
And the client uploads the guide point in the video to be processed and the user heartbeat information corresponding to the guide point to the server. The server can generate the attraction degree index of the video to be processed according to the guide point and the user heartbeat information corresponding to the guide point.
Fig. 2 is a flowchart illustrating steps of an index generation method according to an embodiment of the present invention. The index generation method shown in fig. 2 is executed in a server.
As shown in fig. 2, the index generation method may include the steps of:
step 201, a server acquires a video to be processed and sends the video to be processed to a client.
And the server acquires the video needing to generate the attraction degree index as the video to be processed. In the implementation, the server can add a guide point for the video to be processed, and send the video to be processed with the guide point added to the client; the server can also send the video to be processed to the client side without adding a guide point for the video to be processed.
Step 202, the server receives the guide point in the video to be processed and the user heartbeat information corresponding to the guide point uploaded by the client.
And 203, the server generates an attraction degree index of the video to be processed based on the guide point and the user heartbeat information corresponding to the guide point.
The client acquires user heartbeat information corresponding to a guide point in the video to be processed in the process of playing the video to be processed, and uploads the guide point in the video to be processed and the user heartbeat information corresponding to the guide point to the server. The server analyzes the guide point in the video to be processed and the user heartbeat information corresponding to the guide point to obtain information capable of indicating the attraction degree of the video to be processed, so that an attraction degree index of the video to be processed is generated. Details will be described later in the examples.
In the embodiment of the invention, the guide point is a time point for guiding the user to carry out heartbeat detection, when the user is interested in a watched video at a certain time point, the emotion of the user is excited, and the heartbeat of the user is accelerated, so that the heartbeat information of the user can reflect the real attraction degree of the video to the user. Therefore, the real interest of the user in the video can be more accurately indicated based on the attraction degree index obtained by the heartbeat information of the user when the user really watches the video.
Next, the index generation method is explained based on the interactive process between the client and the server.
Fig. 3 is a flowchart illustrating another exemplary method for generating an index according to an embodiment of the present invention.
As shown in fig. 3, the index generation method may include the steps of:
step 301, a server obtains a video to be processed which is issued for the first time, and sets a plurality of guide points according to the duration of the video to be processed.
The video to be processed which is delivered for the first time refers to the video which is newly on line and is not delivered to the client.
The server can set a plurality of guide points according to the duration of the video to be processed aiming at the video to be processed which is issued for the first time. The way in which the server sets the bootstrap point may include, but is not limited to: average settings, random settings, etc.
The average setting means that the server sets a plurality of guide points at equal intervals according to the duration of the video to be processed. For example, a guidance point is set every fixed time period, and the like. The specific value of the fixed time length is not limited in the embodiments of the present invention.
Step 302, the server adds the plurality of guide points to the to-be-processed video corresponding to each client.
Because the heartbeat detection needs to be performed on the user at the guide point, if too many guide points are added in the video to be processed which is sent to the client, the user can be disturbed too much, and the user experience is reduced. Therefore, in order to reduce the disturbance to the user, the server does not add all the set guidance points to the to-be-processed video, but adds a plurality of guidance points to the to-be-processed video corresponding to each client through a sampling strategy. And adding at least one guide point in the video to be processed corresponding to each client.
In an alternative embodiment, first, the server may divide the set plurality of boot points into a plurality of first groups and divide the plurality of clients into a plurality of second groups. Wherein the number of first packets is the same as the number of second packets. Each first packet contains at least one bootstrap point and each second packet contains at least one client. Then, the server correspondingly allocates a first group to any one second group, and adds the guide point in the first group to the to-be-processed video corresponding to the client in the second group.
Step 303, the server sends the video to be processed to the client.
And the server correspondingly sends the video to be processed to each client.
And step 304, the client receives the video to be processed sent by the server.
Step 305, the client acquires user heartbeat information corresponding to a guide point in the video to be processed in the process of playing the video to be processed.
In an optional implementation manner, for a case that at least one guidance point (i.e., a guidance point added by a server) is included in the to-be-processed video, the process of obtaining the user heartbeat information corresponding to the guidance point in the to-be-processed video may include: when the client plays any one guide point, the heartbeat information of the user corresponding to the guide point can be detected.
Optionally, the client may call a camera of the mobile terminal where the client is located to perform heartbeat detection, and acquire user heartbeat information corresponding to the guidance point, which is obtained by the detection of the camera.
In implementation, the client may send a first call request to an operating system of the mobile terminal where the client is located, where the first call request is used to instruct a camera to be called for heartbeat detection. After receiving the first calling request, the mobile terminal operating system can call the camera, a user presses a finger on the camera, and the heartbeat information of the user is detected through photoplethysmography by the camera. The camera transmits the detected heartbeat information of the user to the mobile terminal operating system, and then the mobile terminal operating system transmits the heartbeat information of the user to the client.
Photoplethysmography is an optical measurement technique used to detect changes in blood volume in tissue capillaries. The principle is that light irradiates the surface of the skin, the light reflected back through the skin tissue is received by a photoelectric receiver and converted into an electrical signal, and then converted into a Digital signal through AD (Analog-to-Digital). The blood volume is periodically changed under the action of the heart, so that the light intensity received by the photoelectric receiver is changed, and the change information of the blood volume pulse can be obtained.
Optionally, the client may call a wearable device connected to the mobile terminal where the client is located to perform heartbeat detection, and acquire user heartbeat information corresponding to the guidance point detected by the wearable device.
In implementation, the client may send a second invocation request to an operating system of the mobile terminal where the client is located, where the second invocation request is used to instruct to invoke the wearable device to perform heartbeat detection. And after receiving the second calling request, the mobile terminal operating system can call the wearable equipment, and the user utilizes the wearable equipment to perform heartbeat detection. The wearable device transmits the detected heartbeat information of the user to the mobile terminal operating system, and the mobile terminal operating system transmits the heartbeat information of the user to the client. Among others, wearable devices may include, but are not limited to: smart watches, smart bracelets, and the like.
In an alternative embodiment, the client may provide a detection portal through which the user may actively conduct heartbeat detection. For the situation of active detection of the user, the process of acquiring the user heartbeat information corresponding to the guidance point in the video to be processed may include: when a detection request triggered by a user based on the detection entrance is received, taking the time point of receiving the detection request as a guide point in the video to be processed; and detecting the heartbeat information of the user corresponding to the guide point.
In the implementation, the client may provide an active detection button as a detection entry, and in the process of watching a video by a user, if the user wants to actively perform heartbeat detection at a certain time point, the active detection button may be clicked to trigger a detection request, and after receiving the detection request, the client takes the time point at which the detection request is received as a guidance point and detects user heartbeat information corresponding to the guidance point. Optionally, the client may also display a prompt message (for example, "how many users heartbeat is accelerated, go to test a bar soon" or the like) through a UI (User Interface) so as to guide the User to actively perform heartbeat detection.
Similarly, for the situation of active detection of the user, the client may also perform heartbeat detection by invoking a camera or a wearable device, specifically referring to the above related description.
It should be noted that, in order to avoid affecting the user to watch the video, when the heartbeat information of the user corresponding to the above detection guide point is detected, the video being played may be paused, and the video may be continued to be played after the detection is successful.
In an optional implementation manner, the client may obtain the user heartbeat information corresponding to the guidance point based on the historical user heartbeat information. For such a situation, the process of acquiring the user heartbeat information corresponding to the guidance point in the video to be processed may include: acquiring historical user heartbeat information corresponding to each historical time point obtained by detection in the process that a user historically watches the video to be processed; selecting a target historical time point of which the historical user heartbeat information exceeds a preset heartbeat threshold value, acquiring a target time point matched with the target historical time point in the video to be processed, and taking the target time point as a guide point in the video to be processed; and taking the historical user heartbeat information corresponding to the guide point as the user heartbeat information corresponding to the guide point.
Considering that a user may wear a wearable device when viewing a to-be-processed video in history, the wearable device may detect the historical user heartbeat information corresponding to each historical time point at regular time, and transmit the historical user heartbeat information corresponding to each historical time point to a client. Therefore, the client can select a target historical time point at which the historical user heartbeat information exceeds a preset heartbeat threshold value, match the time point in the video to be processed with the target historical time point to obtain a target time point in the video to be processed, which is matched with the target historical time point, take the target time point as a guide point in the video to be processed, and take the historical user heartbeat information corresponding to the target historical time point as the historical user heartbeat information corresponding to the target time point matched with the target time point. The embodiments of the present invention are not limited to specific values of the heartbeat threshold.
For example, the target historical time point is 10:30, and the time point in the video to be processed is matched with the target historical time point to obtain that the time point played in the video to be processed at the time point of 10:30 is 30:00 (namely, the 30 th minute in the video to be processed), so that the target time point matched with the target historical time point 10:30 in the video to be processed is 30: 00.
And step 306, the client uploads the guide point in the video to be processed and the user heartbeat information corresponding to the guide point to the server.
And 307, the server receives the guide point in the video to be processed uploaded by the client and the user heartbeat information corresponding to the guide point.
In step 308, the server determines whether the number of the guide points of the video to be processed is less than a preset number threshold. If yes, go to step 311, otherwise go to step 309.
The server receives the guide points and the user heartbeat information corresponding to the guide points in the video to be processed, which are uploaded by the clients, aiming at the video to be processed. The server judges whether the number of the guide points of the video to be processed is smaller than a preset number threshold value. The embodiment of the present invention is not limited to the specific value of the number threshold.
Step 309, the server obtains the video to be processed which is not delivered for the first time, and selects part of the guide points from the guide points of the received video to be processed.
If the number of the guide points of the video to be processed is larger than or equal to the preset number threshold, the server can send the video to be processed to the client again so as to continue heartbeat detection at the client.
The server can select part of the guide points from the received guide points of the video to be processed aiming at the video to be processed which is not issued for the first time.
In implementation, each guidance point may correspond to user heartbeat information of multiple users, so that the server calculates average user heartbeat information corresponding to the guidance point for each received guidance point, and selects a part of guidance points with the highest average user heartbeat information. For example, 40% of guidance points, 50% of guidance points, 60% of guidance points, and the like with the highest average user heartbeat information may be selected, which is not limited in this embodiment of the present invention.
And step 310, the server adds the part of the guide points to the video to be processed corresponding to each client. And then returns to step 303.
Similar to the step 302, in order to reduce the disturbance to the user, the server may add the selected part of the guidance points to the to-be-processed video corresponding to each client through a sampling policy. And adding at least one guide point in the video to be processed corresponding to each client.
In an alternative embodiment, the server may first divide the selected portion of the guidance points into a plurality of third groups, and divide the plurality of clients into a plurality of fourth groups. Wherein the number of third packets is the same as the number of fourth packets. Each third packet contains at least one bootstrap point and each fourth packet contains at least one client. Then, the server correspondingly allocates a third packet to any one fourth packet, and adds the guide point in the third packet to the video to be processed corresponding to the client in the fourth packet.
And 311, calculating an attraction degree index of the video to be processed based on the guide point of the video to be processed and the user heartbeat information corresponding to the guide point.
And if the number of the guide points of the video to be processed is smaller than the preset number threshold, the server can not control the client to perform heartbeat detection any more. The server can calculate the attraction degree index of the video to be processed based on the guide point of the current video to be processed and the user heartbeat information corresponding to the guide point.
In an optional implementation manner, a server respectively calculates average user heartbeat information corresponding to each guide point for a current guide point of a video to be processed, selects at least one target guide point with the highest average user heartbeat information, and generates an attractiveness index of the video to be processed based on the target guide point and the average user heartbeat information corresponding to the target guide point.
Optionally, when there is one target guidance point, the average user heartbeat information corresponding to the target guidance point is used as an attraction degree index of the video to be processed. When the number of the target guide points is at least two, acquiring a video clip corresponding to each target guide point, taking average user heartbeat information corresponding to the target guide points as user heartbeat information corresponding to the video clip, and taking the video clip and the user heartbeat information corresponding to the video clip as an attraction index of the video to be processed.
In the embodiment of the invention, the actual feeling of the user on the video can be shown by generating the attraction degree index for the video, so that the related algorithm can be optimized and the user viscosity can be improved in scenes such as video recommendation and video ranking. In addition, the client can automatically collect videos of heartbeat acceleration of the user, memory of the user on the videos is increased, and the client can also be used for sharing the videos.
Fig. 4 is a block diagram of a client in the embodiment of the present invention.
As shown in fig. 4, the client may include the following modules:
a first receiving module 401, configured to receive a video to be processed sent by a server;
an obtaining module 402, configured to obtain, during a process of playing the to-be-processed video, user heartbeat information corresponding to a guidance point in the to-be-processed video; the guide point is a time point for guiding the user to carry out heartbeat detection;
an uploading module 403, configured to upload the guidance point and the user heartbeat information corresponding to the guidance point to a server; and the guide point and the user heartbeat information corresponding to the guide point are used as a basis for the server to generate the attraction degree index of the video to be processed.
Fig. 5 is a block diagram of another client in the embodiment of the present invention.
As shown in fig. 5, the client may include the following modules:
a first receiving module 501, configured to receive a video to be processed sent by a server;
an obtaining module 502, configured to obtain, during a process of playing the to-be-processed video, user heartbeat information corresponding to a guidance point in the to-be-processed video; the guide point is a time point for guiding the user to carry out heartbeat detection;
an uploading module 503, configured to upload the guidance point and the user heartbeat information corresponding to the guidance point to a server; and the guide point and the user heartbeat information corresponding to the guide point are used as a basis for the server to generate the attraction degree index of the video to be processed.
Optionally, the video to be processed includes at least one guide point; the obtaining module 502 includes: the first detecting unit 5021 is configured to detect user heartbeat information corresponding to the guidance point when the guidance point is played.
Optionally, the client provides a detection portal; the obtaining module 502 includes: a second detecting unit 5022, configured to, when a detection request triggered by a user based on the detection entry is received, take a time point at which the detection request is received as a guidance point in the video to be processed; and detecting the heartbeat information of the user corresponding to the guide point.
Optionally, the obtaining module 502 includes: the information acquisition unit 5023 is used for acquiring historical user heartbeat information corresponding to each historical time point detected in the process that a user historically watches the video to be processed; the first selecting unit 5024 is configured to select a target historical time point at which historical user heartbeat information exceeds a preset heartbeat threshold, acquire a target time point in the video to be processed, which is matched with the target historical time point, use the target time point as a guidance point in the video to be processed, and use historical user heartbeat information corresponding to the guidance point as user heartbeat information corresponding to the guidance point.
Optionally, the first detecting unit 5021 is specifically configured to call a camera of a mobile terminal where the client is located to perform heartbeat detection, and obtain user heartbeat information corresponding to the guidance point, which is obtained by the detection of the camera; or calling wearable equipment connected with the mobile terminal where the client side is located to perform heartbeat detection, and acquiring user heartbeat information which is obtained by detection of the wearable equipment and corresponds to the guide point.
Fig. 6 is a block diagram of a server according to an embodiment of the present invention.
As shown in fig. 6, the server may include the following modules:
a sending module 601, configured to obtain a video to be processed and send the video to be processed to a client;
a second receiving module 602, configured to receive a guidance point in the video to be processed and user heartbeat information corresponding to the guidance point, where the user heartbeat information is uploaded by the client; the client side acquires user heartbeat information corresponding to the guide point in the process of playing the video to be processed;
a generating module 603, configured to generate an attraction degree index of the to-be-processed video based on the guidance point and the user heartbeat information corresponding to the guidance point.
Fig. 7 is a block diagram of another server according to an embodiment of the present invention.
As shown in fig. 7, the server may include the following modules:
a sending module 701, configured to obtain a video to be processed, and send the video to be processed to a client;
a second receiving module 702, configured to receive a guidance point in the video to be processed and user heartbeat information corresponding to the guidance point, where the user heartbeat information is uploaded by the client; the client side acquires user heartbeat information corresponding to the guide point in the process of playing the video to be processed;
a generating module 703, configured to generate an attraction degree index of the to-be-processed video based on the guidance point and the user heartbeat information corresponding to the guidance point.
Optionally, the generating module 703 includes: a calling unit 7031, configured to call the sending module when the number of the guidance points is greater than or equal to a preset number threshold; a second selecting unit 7032, configured to, when the number of the guidance points is smaller than the number threshold, respectively calculate average user heartbeat information corresponding to each guidance point, and select at least one target guidance point with the highest average user heartbeat information; an index generating unit 7033, configured to generate an attraction index of the to-be-processed video based on the target guidance point and average user heartbeat information corresponding to the target guidance point.
Optionally, the index generating unit 7033 is specifically configured to, when there is one target guidance point, use average user heartbeat information corresponding to the target guidance point as an attraction index of the to-be-processed video; when the number of the target guide points is at least two, acquiring a video clip corresponding to each target guide point, taking average user heartbeat information corresponding to the target guide points as user heartbeat information corresponding to the video clip, and taking the video clip and the user heartbeat information corresponding to the video clip as an attraction index of the video to be processed.
Optionally, the sending module 701 includes: a first adding unit 7011, configured to set a plurality of guidance points according to a duration of the video to be processed when the video to be processed is first delivered, and add the plurality of guidance points to the video to be processed corresponding to each client; a second adding unit 7012, configured to, under the condition that the to-be-processed video is not delivered for the first time, calculate average user heartbeat information for each received guidance point, select a part of guidance points with the highest average user heartbeat information, and add the part of guidance points to the to-be-processed video corresponding to each client; and adding at least one guide point in the video to be processed corresponding to each client.
In the embodiment of the invention, the guide point is a time point for guiding the user to carry out heartbeat detection, when the user is interested in a watched video at a certain time point, the emotion of the user is excited, and the heartbeat of the user is accelerated, so that the heartbeat information of the user can reflect the real attraction degree of the video to the user. Therefore, the real interest of the user in the video can be more accurately indicated based on the attraction degree index obtained by the heartbeat information of the user when the user really watches the video.
An embodiment of the present invention further provides an electronic device, as shown in fig. 8, including a processor 801, a communication interface 802, a memory 803, and a communication bus 804, where the processor 801, the communication interface 802, and the memory 803 complete mutual communication through the communication bus 804.
A memory 803 for storing a computer program;
a processor 801 for executing programs stored in the memory 803.
When the electronic device is used as a client, the processor 801 executes the program stored in the memory 803 to implement the following steps:
receiving a video to be processed sent by a server;
in the process of playing the video to be processed, acquiring user heartbeat information corresponding to a guide point in the video to be processed; the guide point is a time point for guiding the user to carry out heartbeat detection;
uploading the guide point and the user heartbeat information corresponding to the guide point to a server; and the guide point and the user heartbeat information corresponding to the guide point are used as a basis for the server to generate the attraction degree index of the video to be processed.
Optionally, the video to be processed includes at least one guide point; the acquiring of the user heartbeat information corresponding to the guidance point in the video to be processed includes: and when the guide point is played, detecting the user heartbeat information corresponding to the guide point.
Optionally, the client provides a detection portal; the acquiring of the user heartbeat information corresponding to the guidance point in the video to be processed includes: when a detection request triggered by a user based on the detection entrance is received, taking the time point of receiving the detection request as a guide point in the video to be processed; and detecting the heartbeat information of the user corresponding to the guide point.
Optionally, the obtaining of the user heartbeat information corresponding to the guidance point in the video to be processed includes: acquiring historical user heartbeat information corresponding to each historical time point obtained by detection in the process that a user historically watches the video to be processed; selecting a target historical time point of which the historical user heartbeat information exceeds a preset heartbeat threshold value, acquiring a target time point matched with the target historical time point in the video to be processed, and taking the target time point as a guide point in the video to be processed; and taking the historical user heartbeat information corresponding to the guide point as the user heartbeat information corresponding to the guide point.
Optionally, the detecting the user heartbeat information corresponding to the guidance point includes: calling a camera of a mobile terminal where the client is located to perform heartbeat detection, and acquiring user heartbeat information which is obtained by the detection of the camera and corresponds to the guide point; or calling wearable equipment connected with the mobile terminal where the client side is located to perform heartbeat detection, and acquiring user heartbeat information which is obtained by detection of the wearable equipment and corresponds to the guide point.
When the electronic device is used as a server, the processor 801 executes the program stored in the memory 803, and implements the following steps:
acquiring a video to be processed, and sending the video to be processed to a client;
receiving a guide point in the video to be processed and user heartbeat information corresponding to the guide point uploaded by the client; the client side acquires user heartbeat information corresponding to the guide point in the process of playing the video to be processed;
and generating an attraction degree index of the video to be processed based on the guide point and the user heartbeat information corresponding to the guide point.
Optionally, the generating an attraction degree index of the to-be-processed video based on the guide point and the user heartbeat information corresponding to the guide point includes: when the number of the guide points is larger than or equal to a preset number threshold value, returning to the step of acquiring the video to be processed and sending the video to be processed to a client; when the number of the guide points is smaller than the number threshold, average user heartbeat information corresponding to each guide point is respectively calculated, and at least one target guide point with the highest average user heartbeat information is selected; and generating an attraction degree index of the video to be processed based on the target guide point and the average user heartbeat information corresponding to the target guide point.
Optionally, the generating an attraction degree index of the to-be-processed video based on the target guidance point and the average user heartbeat information corresponding to the target guidance point includes: when the target guide point is one, taking average user heartbeat information corresponding to the target guide point as an attraction degree index of the video to be processed; when the number of the target guide points is at least two, acquiring a video clip corresponding to each target guide point, taking average user heartbeat information corresponding to the target guide points as user heartbeat information corresponding to the video clip, and taking the video clip and the user heartbeat information corresponding to the video clip as an attraction index of the video to be processed.
Optionally, the acquiring the video to be processed includes: under the condition of issuing the video to be processed for the first time, setting a plurality of guide points according to the duration of the video to be processed, and adding the guide points to the video to be processed corresponding to each client; under the condition that the video to be processed is not issued for the first time, average user heartbeat information is calculated for each received guide point, a part of guide points with the highest average user heartbeat information is selected, and the part of guide points is added into the video to be processed corresponding to each client; and adding at least one guide point in the video to be processed corresponding to each client.
The communication bus mentioned in the above terminal may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the terminal and other equipment.
The Memory may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
In yet another embodiment of the present invention, a computer-readable storage medium is further provided, where instructions are stored, and when the instructions are executed on a computer, the computer is enabled to implement any of the index generation methods executed by the client in the above embodiments, or implement any of the index generation methods executed by the server in the above embodiments.
In another embodiment, the present invention further provides a computer program product containing instructions, which when run on a computer, causes the computer to implement any of the index generation methods performed by the client in the above embodiments, or implement any of the index generation methods performed by the server in the above embodiments.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is noted that, herein, relational terms such as first and second, and the like may be 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 a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.

Claims (13)

1. An index generation method, executed on a client, the method comprising:
receiving a video to be processed sent by a server;
in the process of playing the video to be processed, acquiring user heartbeat information corresponding to a guide point in the video to be processed; the guide point is a time point for guiding the user to carry out heartbeat detection;
uploading the guide point and the user heartbeat information corresponding to the guide point to a server; and the guide point and the user heartbeat information corresponding to the guide point are used as a basis for the server to generate the attraction degree index of the video to be processed.
2. The method of claim 1, wherein the video to be processed comprises at least one guide point; the acquiring of the user heartbeat information corresponding to the guidance point in the video to be processed includes:
and when the guide point is played, detecting the user heartbeat information corresponding to the guide point.
3. The method of claim 1, wherein the client provides a detection portal; the acquiring of the user heartbeat information corresponding to the guidance point in the video to be processed includes:
when a detection request triggered by a user based on the detection entrance is received, taking the time point of receiving the detection request as a guide point in the video to be processed;
and detecting the heartbeat information of the user corresponding to the guide point.
4. The method according to claim 1, wherein the obtaining of the user heartbeat information corresponding to the guidance point in the video to be processed includes:
acquiring historical user heartbeat information corresponding to each historical time point obtained by detection in the process that a user historically watches the video to be processed;
selecting a target historical time point of which the historical user heartbeat information exceeds a preset heartbeat threshold value, acquiring a target time point matched with the target historical time point in the video to be processed, and taking the target time point as a guide point in the video to be processed;
and taking the historical user heartbeat information corresponding to the guide point as the user heartbeat information corresponding to the guide point.
5. The method according to claim 2 or 3, wherein the detecting the user heartbeat information corresponding to the guidance point comprises:
calling a camera of a mobile terminal where the client is located to perform heartbeat detection, and acquiring user heartbeat information which is obtained by the detection of the camera and corresponds to the guide point;
alternatively, the first and second electrodes may be,
calling wearable equipment connected with the mobile terminal where the client side is located to perform heartbeat detection, and acquiring user heartbeat information which is obtained by detection of the wearable equipment and corresponds to the guide point.
6. An index generation method executed in a server, the method comprising:
acquiring a video to be processed, and sending the video to be processed to a client;
receiving a guide point in the video to be processed and user heartbeat information corresponding to the guide point uploaded by the client; the client side acquires user heartbeat information corresponding to the guide point in the process of playing the video to be processed;
and generating an attraction degree index of the video to be processed based on the guide point and the user heartbeat information corresponding to the guide point.
7. The method according to claim 6, wherein the generating an attraction degree index of the video to be processed based on the guide point and the user heartbeat information corresponding to the guide point comprises:
when the number of the guide points is larger than or equal to a preset number threshold value, returning to the step of acquiring the video to be processed and sending the video to be processed to a client;
when the number of the guide points is smaller than the number threshold, average user heartbeat information corresponding to each guide point is calculated respectively, at least one target guide point with the highest average user heartbeat information is selected, and an attractiveness index of the video to be processed is generated based on the target guide points and the average user heartbeat information corresponding to the target guide points.
8. The method according to claim 7, wherein the generating an attraction degree indicator of the video to be processed based on the target guide point and the average user heartbeat information corresponding to the target guide point comprises:
when the target guide point is one, taking average user heartbeat information corresponding to the target guide point as an attraction degree index of the video to be processed;
when the number of the target guide points is at least two, acquiring a video clip corresponding to each target guide point, taking average user heartbeat information corresponding to the target guide points as user heartbeat information corresponding to the video clip, and taking the video clip and the user heartbeat information corresponding to the video clip as an attraction index of the video to be processed.
9. The method of claim 7, wherein the obtaining the video to be processed comprises:
under the condition of issuing the video to be processed for the first time, setting a plurality of guide points according to the duration of the video to be processed, and adding the guide points to the video to be processed corresponding to each client;
under the condition that the video to be processed is not issued for the first time, average user heartbeat information is calculated for each received guide point, a part of guide points with the highest average user heartbeat information is selected, and the part of guide points is added into the video to be processed corresponding to each client;
and adding at least one guide point in the video to be processed corresponding to each client.
10. A client, the client comprising:
the first receiving module is used for receiving the video to be processed sent by the server;
the acquisition module is used for acquiring user heartbeat information corresponding to a guide point in the video to be processed in the process of playing the video to be processed; the guide point is a time point for guiding the user to carry out heartbeat detection;
the uploading module is used for uploading the guide point and the user heartbeat information corresponding to the guide point to a server; and the guide point and the user heartbeat information corresponding to the guide point are used as a basis for the server to generate the attraction degree index of the video to be processed.
11. A server, characterized in that the server comprises:
the sending module is used for obtaining a video to be processed and sending the video to be processed to the client;
the second receiving module is used for receiving the guide point in the video to be processed and the user heartbeat information corresponding to the guide point uploaded by the client; the client side acquires user heartbeat information corresponding to the guide point in the process of playing the video to be processed;
and the generating module is used for generating an attraction degree index of the video to be processed based on the guide point and the user heartbeat information corresponding to the guide point.
12. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the method of any one of claims 1 to 5 or the method of any one of claims 6 to 9 when executing a program stored in a memory.
13. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 5, or carries out the method according to any one of claims 6 to 9.
CN202110790351.7A 2021-07-13 2021-07-13 Index generation method, client, server, electronic device, and storage medium Pending CN113676758A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110790351.7A CN113676758A (en) 2021-07-13 2021-07-13 Index generation method, client, server, electronic device, and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110790351.7A CN113676758A (en) 2021-07-13 2021-07-13 Index generation method, client, server, electronic device, and storage medium

Publications (1)

Publication Number Publication Date
CN113676758A true CN113676758A (en) 2021-11-19

Family

ID=78539098

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110790351.7A Pending CN113676758A (en) 2021-07-13 2021-07-13 Index generation method, client, server, electronic device, and storage medium

Country Status (1)

Country Link
CN (1) CN113676758A (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104983435A (en) * 2015-08-07 2015-10-21 北京环度智慧智能技术研究所有限公司 Stimulus information establishing method for interest orientation value test
CN106464956A (en) * 2014-05-21 2017-02-22 Pcms控股公司 Methods and systems for contextual adjustment of thresholds of user interestedness for triggering video recording
CN106658202A (en) * 2015-10-30 2017-05-10 中国移动通信集团公司 Method and equipment for triggering interaction application
US20180140255A1 (en) * 2013-03-14 2018-05-24 Arizona Board Of Regents On Behalf Of Arizona State University System and method for non-contact monitoring of physiological parameters
CN109151576A (en) * 2018-06-20 2019-01-04 新华网股份有限公司 Multimedia messages clipping method and system
CN109598217A (en) * 2018-11-23 2019-04-09 南京亨视通信息技术有限公司 A kind of system that the micro- Expression analysis of human body face is studied and judged
CN111193964A (en) * 2020-01-09 2020-05-22 未来新视界教育科技(北京)有限公司 Method and device for controlling video content in real time according to physiological signals

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180140255A1 (en) * 2013-03-14 2018-05-24 Arizona Board Of Regents On Behalf Of Arizona State University System and method for non-contact monitoring of physiological parameters
CN106464956A (en) * 2014-05-21 2017-02-22 Pcms控股公司 Methods and systems for contextual adjustment of thresholds of user interestedness for triggering video recording
CN104983435A (en) * 2015-08-07 2015-10-21 北京环度智慧智能技术研究所有限公司 Stimulus information establishing method for interest orientation value test
CN106658202A (en) * 2015-10-30 2017-05-10 中国移动通信集团公司 Method and equipment for triggering interaction application
CN109151576A (en) * 2018-06-20 2019-01-04 新华网股份有限公司 Multimedia messages clipping method and system
CN109598217A (en) * 2018-11-23 2019-04-09 南京亨视通信息技术有限公司 A kind of system that the micro- Expression analysis of human body face is studied and judged
CN111193964A (en) * 2020-01-09 2020-05-22 未来新视界教育科技(北京)有限公司 Method and device for controlling video content in real time according to physiological signals

Similar Documents

Publication Publication Date Title
CN109769128B (en) Video recommendation method, video recommendation device and computer-readable storage medium
US20190090031A1 (en) Method in support of video impression analysis including interactive collection of computer user data
CN111615003B (en) Video playing control method, device, equipment and storage medium
US20180013711A1 (en) Ascertaining Events in Media
CN107835200B (en) Video definition selection method and device and electronic equipment
CN111787345B (en) Interactive resource processing method and device based on network live broadcast room, server and storage medium
US10733249B1 (en) Machine learning system for data selection
CN108377396A (en) A kind of live streaming method for recording, device and equipment
EP3657335A1 (en) Method, device, and apparatus for tracking and monitoring software behavior
US20170180805A1 (en) Method and electronic device for video follow-play
CN110324680A (en) A kind of video pushing method, device and server, client, storage medium
US20140195647A1 (en) Bookmarking system
CN111464871A (en) Video fast-forwarding method and device, electronic equipment and storage medium
CN111723237A (en) Media content access control method
CN109886823A (en) A kind of recommended method and device of social circle
CN108415908B (en) Multimedia data processing method and server
CN115001747A (en) Device control method, device, electronic device and storage medium
CN104602039A (en) Video service processing method, device and system
CN108388338B (en) Control method and system based on VR equipment
CN113676758A (en) Index generation method, client, server, electronic device, and storage medium
CN111182316B (en) Stream switching method and device of media resource, storage medium and electronic device
CN115334154B (en) Page access method, page access device, computer equipment and storage medium
US20150347579A1 (en) Media file marking method and apparatus
US11675775B2 (en) Systems and methods for improving accuracy of device maps using media viewing data
US20120059873A1 (en) Download Logic for Web Content

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20211119