CN112423127A - Video loading method and device - Google Patents
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- CN112423127A CN112423127A CN202011312862.XA CN202011312862A CN112423127A CN 112423127 A CN112423127 A CN 112423127A CN 202011312862 A CN202011312862 A CN 202011312862A CN 112423127 A CN112423127 A CN 112423127A
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- 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
- H04N21/44204—Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched
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- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
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- 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
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Abstract
The embodiment of the specification provides a video loading method and a video loading device, wherein the video loading method comprises the following steps: acquiring a video to be played and historical user behaviors of historically watching the video to be played; dividing the video to be played into a plurality of video segments, and counting the historical search rate of each video segment according to the historical user behavior; and determining the video clips with the historical search rate larger than or equal to a preset probability threshold value as target video clips, and preloading videos in the target video clips.
Description
Technical Field
The embodiment of the specification relates to the technical field of computers, in particular to a video loading method. One or more embodiments of the present specification also relate to a video loading apparatus, a computing device, and a computer-readable storage medium.
Background
With the wide application of various intelligent terminals, people are more and more accustomed to watching videos through the intelligent terminals, and generally, users watch videos online most of the time, that is, the videos are watched and loaded in a streaming media mode. When a user fast forwards a video in the process of watching the video, the video is not loaded to a node which the user needs to fast forward due to the reasons of low network speed, high definition of a video file and the like, so that the playing of the video file is interrupted, at the moment, the user needs to patiently wait for the loading of the video file, and the experience degree of the user is greatly reduced in the whole loading process.
Disclosure of Invention
In view of this, the present specification provides a video loading method. One or more embodiments of the present disclosure also relate to a video loading apparatus, a computing device, and a computer-readable storage medium, so as to solve the technical defect that a fast-forwarded video file cannot be played in the prior art.
According to a first aspect of embodiments of the present specification, there is provided a video loading method, including:
acquiring a video to be played and historical user behaviors of historically watching the video to be played;
dividing the video to be played into a plurality of video segments, and counting the historical search rate of each video segment according to the historical user behavior;
and determining the video clips with the historical search rate larger than or equal to a preset probability threshold value as target video clips, and preloading videos in the target video clips.
According to a second aspect of embodiments of the present specification, there is provided a video loading apparatus including:
the video acquisition module is configured to acquire a video to be played and historical user behaviors of watching the video to be played historically;
the search rate counting module is configured to divide the video to be played into a plurality of video segments and count the historical search rate of each video segment according to the historical user behaviors;
the video preloading module is configured to determine the video clips with the historical search rate larger than or equal to a preset probability threshold value as target video clips, and preload videos in the target video clips.
According to a third aspect of embodiments herein, there is provided a computing device comprising:
a memory and a processor;
the memory is configured to store computer-executable instructions and the processor is configured to execute the computer-executable instructions, wherein the processor implements the steps of the video loading method when executing the computer-executable instructions.
According to a fourth aspect of embodiments herein, there is provided a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the video loading method.
One embodiment of the present specification implements a video loading method and apparatus, where the video loading method includes acquiring a video to be played and historical user behaviors of historically watching the video to be played; dividing the video to be played into a plurality of video segments, and counting the historical search rate of each video segment according to the historical user behavior; and determining the video clips with the historical search rate larger than or equal to a preset probability threshold value as target video clips, and preloading videos in the target video clips.
According to the video loading method, the video to be played is divided into the plurality of video segments, the historical search rate of each video segment is determined according to the historical user behavior for watching the video to be played, and the video segments with the historical search rates larger than the preset threshold value are preferentially preloaded under the condition that the user to be loaded is determined, so that when the user fast forwards the video, video file nodes for video fast forwarding are preferentially loaded, the video can be smoothly played, the video playing content better meets the user requirements, meanwhile, the user can not wait for the video loading for a long time, and the user experience is improved.
Drawings
Fig. 1 is an exemplary diagram of a specific application scenario of a video loading method according to an embodiment of the present specification;
fig. 2 is a flowchart of a video loading method according to an embodiment of the present specification;
fig. 3 is a schematic diagram of a video playing interface of a video loading method according to an embodiment of the present specification;
fig. 4 is a schematic structural diagram of a video loading apparatus according to an embodiment of the present disclosure;
fig. 5 is a block diagram of a computing device according to an embodiment of the present disclosure.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present description. This description may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, as those skilled in the art will be able to make and use the present disclosure without departing from the spirit and scope of the present disclosure.
The terminology used in the description of the one or more embodiments is for the purpose of describing the particular embodiments only and is not intended to be limiting of the description of the one or more embodiments. As used in one or more embodiments of the present specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used in one or more embodiments of the present specification refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It will be understood that, although the terms first, second, etc. may be used herein in one or more embodiments to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first can also be referred to as a second and, similarly, a second can also be referred to as a first without departing from the scope of one or more embodiments of the present description. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
First, the noun terms to which one or more embodiments of the present specification relate are explained.
The stream media player: and the component is used for loading the network resource, decoding and playing locally.
Hot spot area: in a network video playing scene, the probability that all regions are played is not the same, because the probability that some regions are watched is often much higher than other regions due to different video contents, and these regions are called hot spot regions.
Preloading: in a streaming media video playing scene, the preloading has the effect of improving the watching fluency, and the longer the preloading time is, the better the watching fluency is, but because the preloaded part is not necessarily played, the more the bandwidth waste is caused.
seek operation (seek operation): the user performs the operation of playing position jump through a mouse or a keyboard.
In practical application, a video loading process needs to wait for buffering, when the video is buffered to a certain extent, the video can be played, if the playing speed exceeds the buffering speed, the video is paused and can be played continuously until the buffering is finished, in addition, when a user fast forwards the video, if the video buffering does not reach a node to be fast forwarded, the buffering is started at the node, and the user needs to continue to wait again, so that the viewing experience is poor.
In this specification, a video loading method is provided. One or more embodiments of the present disclosure also relate to a video loading apparatus, a computing device, and a computer-readable storage medium, which are described in detail in the following embodiments one by one.
Referring to fig. 1, fig. 1 illustrates an exemplary view of a specific application scenario of a video loading method according to an embodiment of the present specification.
The application scene of fig. 1 includes a terminal 102 and a server 104, specifically, a user sends a selected video to be played to the server 104 through the terminal 102, after receiving the video to be played, the server 104 obtains historical user behaviors of historically watching the video to be played, divides the video to be played into a plurality of video segments according to a preset time length, and counts a historical search rate of each video segment according to the historical user behaviors; meanwhile, the server 104 needs to obtain the historical behavior of the current user watching the video to be played, determine whether the current user is the user to be loaded, in the case that the server 104 determines that the current user is in the playing interface of the video to be played, the user to be loaded is determined through the video playing progress bar, taking the video clips with the calendar search rate of each video clip being more than or equal to a preset probability threshold value as target video clips, for example, the video to be played is divided into 5 video segments, segment 1, segment 2, segment 3, segment 4 and segment 5, the historical search rate of each segment is counted to be 10%, 40%, 12%, 23% and 15%, and under the condition that the preset probability threshold is 35%, determining the segment with the historical search rate larger than 35% as a target video segment, namely preloading the segment 2 in the video to be played as the target video segment.
The video loading method provided by the embodiment of the present specification determines the historical search rate of each video segment in the video to be played by obtaining the historical user behavior of the video to be played, and implements preloading of the target video segment in the video to be played, so that when a user fast forwards the video, the video segment that the user may load in advance is preferentially loaded, and the possibility that the user waits for video loading for a long time is reduced.
Referring to fig. 2, fig. 2 is a flowchart illustrating a video loading method according to an embodiment of the present disclosure, including the following steps.
Step 202: the method comprises the steps of obtaining a video to be played and historical user behaviors of historically watching the video to be played.
The video to be played can be understood as a video that a user needs to play in a video website, and the historical user behavior can be understood as user behavior of other historical users viewing the video to be played, such as click behavior, comment behavior, sharing behavior and the like of the video.
Specifically, the video to be played is determined based on the viewing requirements of the user in the video website, and after the server acquires the video to be played, the server also needs to acquire the historical user behavior of the historical viewing user of the video to be played, such as a click playing behavior of the historical viewing user for the video to be played, a comment behavior for the video to be played, or a sharing behavior of the video to be played.
For example, when a user a watches a video a on a certain video playing website, the video a is a video a to be played, the server acquires the video a to be played that the user a needs to watch, and historical user behaviors for historically watching the video a to be played, such as comment behaviors in a playing interface of the video a to be played, bullet screen sending behaviors in the playing interface of the video a to be played, and behaviors for sharing the video a to be played.
Step 204: and dividing the video to be played into a plurality of video segments, and counting the historical search rate of each video segment according to the historical user behavior.
Further, the dividing the video to be played into a plurality of video segments includes:
and dividing the video to be played into a plurality of video segments according to a preset time length.
The preset time length may be understood as a time length of a plurality of video segments obtained by dividing a video to be played, for example, if the preset time length is set to 5 seconds, the time length of each video segment divided by the server is 5 seconds, or if the preset time length is set to 10 seconds, the time length of each video segment divided by the server is 10 seconds.
It should be noted that the preset time length may be obtained by dividing video segments according to the total time length of the video to be played, and if the total time length of the video to be played is long, the preset time length set by the server may be correspondingly long, which is not limited herein.
In the embodiment of the description, the video clips of the video to be played are divided according to the preset time length, so that the video clips which are possibly loaded in advance by a user can be preferentially loaded on the premise of not wasting network resources, and the possibility that the user waits for the video loading for a long time is reduced.
The historical search rate may be understood as a probability that a historical user searches for the number of times of searching for a video clip in the video to be played, for example, in the video to be played, the historical user searches for the number of times of searching for the video clip in which the user is interested in the playing process of the video to be played.
Specifically, after receiving a video to be played, the server divides the video to be played into a plurality of video segments according to a preset time length, and counts the historical search rate of each video segment according to the historical user behavior of the historical user aiming at the video to be played.
In practical application, according to the interest degree of a user for video content to be played, the content of the whole video to be played can be divided into two types, namely ordinary video content and interest hot content, after the server receives the video to be played, the video to be played is divided into a plurality of video segments according to a preset time length determined according to the total time length of the video to be played, wherein the plurality of video segments comprise a plurality of segments of the ordinary video content and a plurality of segments of the interest hot content; in the process of playing the video to be played, a user can jump the video to be played to a video segment which is interested by the user through seek operation or directly search keywords which are interested by the user in the content of the video to be played through a search box, so that the video to be played is directly jumped to the video segment which is interested by the user, and the historical search rate of each video segment is counted according to the historical user behavior of the video to be played by a historical user.
In order to determine a preloaded target video segment, a historical search rate of each segment is determined according to historical user behaviors of a video to be played watched historically, and specifically, the counting the historical search rate of each video segment according to the historical user behaviors includes:
determining the searching times of each video clip searched by the historical user according to the historical user behavior;
and calculating and obtaining the historical search rate of each video clip in the plurality of video clips based on the search times of each video clip.
The historical user behavior can be understood as comment behavior, sharing behavior, forwarding behavior and the like of the user for each video clip.
Specifically, after a video to be played is divided into a plurality of video segments, the number of times of searching of each video segment by a history user is determined according to the comment behavior, the sharing behavior or the search click behavior and the like of the history user for each video segment, and the history search rate of each video segment in the plurality of video segments is calculated based on the number of times of searching of each video segment.
Taking the historical user behavior as an example to determine the search times of the historical user search aiming at the comment behavior of the video segment, the server divides the video to be played into 5 video segments, the historical users have different comment behaviors aiming at the 5 video segments, the comment times of the 1 st video segment historical user is 50 times, namely the search times of the historical user search is 50, the comment times of the 2 nd video segment historical user is 100, namely the search times of the historical user search is 100, the comment times of the 3 rd video segment historical user is 60 times, namely the search times of the historical user search is 60, the comment times of the 4 th video segment historical user is 80 times, namely the search times of the historical user search is 80, the comment times of the 5 th video segment historical user is 150 times, namely the search times of the historical user search is 150, based on the number of searches of the historical users determined by the 5 video clips, the historical search rate of each video clip in the plurality of video clips is calculated, namely the historical search rate of the 1 st video clip is 11%, the historical search rate of the 2 nd video clip is 23%, the historical search rate of the 3 rd video clip is 14%, the historical search rate of the 4 th video clip is 18%, and the historical search rate of the 5 th video clip is 34%.
It should be noted that, a video clip with a high search frequency of a historical user may be referred to as a hot spot region, that is, each video clip in a video to be played is not selected by the user to be played, but the probability that the video clip in the hot spot region is watched by the user is much higher than other video clips.
In the embodiment of the description, the search times of historical user search are determined according to the historical behavior of each video clip, so that the historical search rate of each video clip in a plurality of video clips is calculated, the video clip which is interested by the user can be determined more intuitively according to the historical search rate, the video clip which is possibly jumped to play by the user can be conveniently and accurately judged subsequently, and the user does not need to wait for preloading the video clip which is interested by the user in advance.
Step 206: and determining the video clips with the historical search rate larger than or equal to a preset probability threshold value as target video clips, and preloading videos in the target video clips.
Specifically, the determining, as the target video segment, the video segment with the historical search rate being greater than or equal to the preset probability threshold includes:
acquiring historical behaviors of a current user watching the video to be played;
and under the condition that the current user is determined to be the user to be loaded according to the historical behavior of the current user, determining the video clip with the historical search rate greater than or equal to a preset probability threshold value as a target video clip.
In practical application, some users may perform play position skipping operation, namely seek operation, through a mouse or a keyboard when watching a video to be played, and some users may not skip the play position of the video to be played when watching the video to be played, and watch the video to be played according to a normal play sequence.
The user to be loaded can be understood as a user who directly views the video clip in the hot spot area in the video to be played through seek operation for the video to be played when the current user is determined to view the video according to the historical user behavior of the current user.
Specifically, when it is determined that the current user is the user to be loaded according to the historical behavior of the current user, the server needs to preload the video to be played, and then the preloaded video segments determine the target video segments that need to be loaded in advance according to the historical search rate of the historical user for the video segments in the video to be played, and then determine the video segments with the historical search rate of each video segment being greater than or equal to the preset probability threshold as the target video segments, and preload the video in the target video segments, it needs to be noted that a specific calculation manner of the historical search rate may be referred to the above embodiment, which is not described herein in detail; the target video segment may be one or more, and is not limited herein.
In the embodiment of the description, whether the current user is a user for watching skip loading in a video is determined through the historical behavior of the current user, and then a video clip with a high historical search rate in the video to be played is preloaded for the user, so that the watching requirement of the user is met, and the video loading efficiency is improved.
Further, after the server acquires the historical behavior of the current user watching the video to be played, determining the user attribute of the current user according to the historical behavior of the current user, and preloading the video to be played according to different video loading strategies corresponding to different user attributes; specifically, after obtaining the historical behavior of the current user watching the video to be played, the method further includes:
and preloading the video to be played according to an initial loading process under the condition that the current user is determined to be a non-user to be loaded according to the historical behavior of the current user.
The non-to-be-loaded user can understand that when the current user watches the video according to the historical user behavior of the current user, the video clip of the hot spot area in the video to be played is directly watched instead of through seek operation aiming at the video to be played, and the video to be played is watched according to the normal video playing sequence.
In specific implementation, the server acquires the historical behavior of the current user, and determines that the current user plays the video to be played according to a normal video playing sequence, that is, the current user is a non-to-be-loaded user, and then pre-loads the video to be played according to an initial loading flow, where the initial loading flow is a video loading flow common in a streaming media player, for example, when the user views the video to be played for 5 seconds, the user views 5 seconds of the video to be played, and then the video to be played is loaded for 10 seconds, so as to ensure that the loading time of the video to be played is longer than the playing time, and the video to be played is normally played.
In the embodiment of the description, the video to be played is preloaded according to the initial loading process under the condition that the current user is determined to be a non-loading user, so that different loading strategies are implemented on the video to be played under the condition that the user requirements are met, the user is ensured to normally watch the video to be played, and the waste of network resources caused by pre-loading in advance can be avoided.
In order to obtain and preload the target video clip, when a user to be loaded watches the video to be played, the skipped video clip can be successfully preloaded in advance, the video is played more smoothly, and before the target video clip is determined, the candidate video clip can be determined according to the attribute information of the user, so that the probability that the target video clip is hit by the user is improved; the specific implementation mode is as follows:
before determining the video segment with the historical search rate greater than or equal to the preset probability threshold as the target video segment, the method further includes:
acquiring and matching the attribute information of the current user and the attribute information of the historical user;
and determining the video clips searched by the historical users matched with the attribute information of the current user as candidate video clips.
The attribute information may be understood as basic information of the user or behavior information of the user, such as gender, age, favorite preference, and the like of the user, or behavior of the user loading video through fast forward of seek operation, and the like.
In specific implementation, the server acquires user attribute information of a current user watching a video to be played, determines attribute information of a historical user watching the video to be played according to the user attribute information of the current user, wherein the number of the historical users watching the video to be played is multiple, matches the user attribute information of the current user watching the video to be played in the attribute information of the multiple historical users, and determines a video clip searched by the history of the historical user or a video clip directly loaded and jumped to be played as a candidate video clip according to the user attribute information of the historical user matched with the user attribute information of the current user, wherein the number of the candidate video clips can be multiple.
For example, the user attribute information of the current user a is "female-25-the favorite video is a gunfight clip", a historical user B matched with the user attribute information of the current user a is matched from a plurality of historical users watching the video to be played, and the searched video clip or the video clip directly jumped to play is used as a candidate video clip preloaded by the current user a when the historical user B watches the video to be played.
In the embodiment of the description, the historical user watching the video to be played historically is matched through the user attribute information of the current user watching the video to be played, and the video clip historically searched in the video to be played is determined according to the user attribute information of the historical user and is used as the preloaded video clip of the video to be played watched by the current user, so that the preloaded video clip of the current user can be determined through the attribute information of the historical user, the favorite preference of the current user can be rapidly determined, and the hit rate of the preloaded video clip in the video to be played can be improved.
After determining candidate video segments of a video to be played according to the user attribute information of the historical user, a specific implementation manner of judging a target video segment from a plurality of candidate video segments is as follows:
determining the video clips with the historical search rate greater than or equal to a preset probability threshold value as target video clips, including:
determining the historical search rate of the candidate video clips, and determining the candidate video clips with the historical search rate more than or equal to a preset probability threshold value as target video clips.
In specific implementation, the server determines the historical search rate of each candidate video clip historical user in the obtained multiple candidate video clips, and takes the candidate clip with the historical search rate being greater than or equal to a preset probability threshold as the target video clip, wherein the preset probability threshold can be preset in advance according to the number of watching people of each historical user of the video to be played or the interest degree of the user, and the like, that is, the preset probability threshold is not a certain probability value.
In the embodiment of the description, the candidate video clips with the historical search rate greater than or equal to the preset probability threshold are determined as the target video clips, and a smaller range is determined by screening again in a determined range, so that the video clip loading requirement of the current user can be met, and the hit rate of the user for preloading the video clips can be improved.
Considering that a user generally watches videos according to a time sequence when watching videos to be played, a manner of preloading a plurality of target video segments when obtaining the plurality of target video segments is as follows, specifically, the preloading the videos in the target video segments includes:
determining the playing time point of the target video clip in the video to be played;
and preloading the videos in the target video clips based on the sequence of the playing time points.
The playing time point can be understood as a playing time point of the target video clip in the whole video to be played.
In specific implementation, the server determines the playing time points of the plurality of target video segments in the total video duration of the video to be played, and preloads the videos in the plurality of target video segments in sequence according to the sequence of the plurality of playing time points.
For example, the server determines 5 target video segments, the playing time periods of each target video segment are respectively the 15 th to 20 th seconds, the 150 th to 155 th seconds, the 400 th to 410 th seconds, the 600 th to 610 th seconds, and the 700 th to 710 th seconds of the video to be played, and each target video segment is sequentially loaded according to the playing sequence of each target video segment of the video to be played.
In the embodiment of the description, the determined target video segments are sequentially loaded according to the sequence of the playing time, so that the playing habit of watching a video by a user can be met, the situation that the target video segments are already preloaded and the playing of the video can be smoothly realized when the user jumps the video segments can be improved, and the user does not need to spend a large amount of time waiting for the loading of the jumped video segments.
Specifically, the determining, as a target video segment, a video segment of which the historical search rate is greater than or equal to a preset probability threshold, and preloading a video in the target video segment includes:
acquiring the number of users watching the video to be played currently;
and under the condition that the number of the users is larger than or equal to a preset number threshold, determining the video clips of which the historical search rate is larger than or equal to a first preset probability threshold as target video clips, and preloading the videos in the target video clips according to a first loading length.
The first preset probability threshold may be understood as a probability value of a preset historical search rate, and the first loading length may be understood as a video loading duration of the target video segment.
Specifically, the server may obtain the number of users watching a video to be played by the current user, determine, as the target video segment, the video segment of which the historical search rate is greater than or equal to the first preset probability threshold when it is determined that the number of users is greater than or equal to the preset number threshold, and preload the video in the target video segment according to the first loading length.
In the embodiment of the specification, the number of users watching a video to be played at present is obtained, and the first preset probability threshold and the first loading length are determined, so that the number of preloaded video segments can be increased and the duration of the loaded video is shortened under the condition that the number of users is large, and the possibility of preloading the video segments is improved when the current user jumps to any one section of target video segment.
In addition, in a case that the number of current users watching a video to be played is small, after the obtaining of the number of users watching the video to be played at present, the method further includes:
determining the video clips with the historical search rate larger than or equal to a second preset probability threshold as target video clips under the condition that the number of the users is smaller than a preset number threshold, preloading videos in the target video clips according to a second loading length,
the second preset probability threshold is greater than the first preset probability threshold, and the second loading length is greater than the first loading length.
In specific implementation, when the number of users watching a video to be played is smaller than a preset number threshold, video clips with the historical search rate of a plurality of target video clips larger than or equal to a second preset probability threshold are determined as target video clips, and the plurality of target video clips are preloaded according to a second loading length.
In the embodiment of the specification, by judging the number of users watching a video to be played, setting different preset probability thresholds to determine different target video segments, and preloading videos in the different target video segments according to the determined number of the target video segments, it can be ensured that when a user plays a video in a skip mode, the preloading of the skipped target video segments is finished, and resource waste caused by too many preloaded target video segments or too much loading time can be avoided.
In addition, the determining, as a target video segment, a video segment of which the historical search rate is greater than or equal to a preset probability threshold, and preloading a video in the target video segment includes:
acquiring the current playing time of the video to be played;
and under the condition that the current playing time is within a preset time period, determining the video clip of which the historical search rate is greater than or equal to a first preset probability threshold value as a target video clip, and preloading the video in the target video clip according to a first loading length.
The current playing time may be understood as a specific time when the current user watches the video to be played, for example, the current playing time is a peak time of video playing, i.e., 8 to 10 pm, or the current playing time is a low peak time of video playing, i.e., 6 to 10 am.
In specific implementation, the server may determine, according to the time of currently playing the video to be played, a video segment of which the historical search rate of the target video segment is greater than or equal to a first preset probability threshold value as the target video segment when the current playing time is within a preset time period, and preload the plurality of target video segments according to a first loading length, where a specific preloading manner may be described in detail in the above description of the preloading process, and redundant description is not repeated here.
In the embodiment of the description, different preloading strategies are determined according to different playing times, so that a user can watch a skipped video clip without waiting when the user skips to play a video, and waste of network resources caused by too many video clips or too long loading time can be avoided.
When the determined current playing time is out of the preset time period, the specific preloading mode is as follows:
after the current playing time of the video to be played is obtained, the method further includes:
determining the video clips with the historical search rate larger than or equal to a second preset probability threshold value as target video clips under the condition that the current playing time is out of a preset time period, preloading videos in the target video clips according to a second loading length,
the second preset probability threshold is greater than the first preset probability threshold, and the second loading length is greater than the first loading length.
In specific implementation, if the time for the user to play the video to be played is outside the preset time period, determining the video segments with the historical search rate of the target video segments being greater than or equal to the second preset probability threshold as the target video segments, and performing preloading according to the second loading length, for example, if the time for the user to view the video to be played is 8 am and the number of current users is small, determining the video segments with the historical search rates of the plurality of determined target video segments being greater than or equal to the second preset probability threshold as the target video segments, where the second preset probability threshold may be 70%, and preloading the target video segments with the historical search rate being greater than or equal to 70% according to the second loading length, where the second loading length is greater than the first loading length, the second loading length may be 15 seconds, and the first loading length may be 10 seconds, and are not intended to be unduly limiting herein.
It should be noted that, in a specific implementation, the video loading method provided in this specification only can improve the probability that a video clip can be successfully loaded in advance and the playing speed is smooth when a user skips the video clip, so as to ensure that the user can watch the skipped video clip without waiting, but can not completely realize that any user randomly skips the video clip in a video to be played, and can successfully load the video clip in advance for the user to play.
In the above embodiment, the server may further determine a specific policy for preloading the video segments according to the number of users currently watching the video to be played and the current playing time of the users, but the policy for preloading the video segments is not limited to the method in the above embodiment, and the target video segments may be determined to be preloaded in advance for the users according to the number of barracks sent by the current users in the video to be played, and the preset probability threshold and the loading length may be changed according to the needs of the users.
In the embodiment of the description, different preloading strategies are determined according to different playing times, so that a user can watch a skipped video clip without waiting when the user skips to play a video, and waste of network resources caused by too many video clips or too long loading time can be avoided.
In addition, not only can the video segments be divided according to the historical search rate of the user, but also the video segments can be divided according to the distribution density of the bullet screen information of the video to be played, specifically, the dividing of the video to be played into a plurality of video segments includes:
acquiring the distribution density of the bullet screen information of the video to be played;
and dividing the video to be played into a plurality of video segments based on the distribution density of the bullet screen information.
The distribution density of the bullet screen information can be understood as the proportion of the number of bullet screens corresponding to each frame in the video to be played to the total bullet screen in the video; in the video playing interface, the distribution information of the number of the barrages above the progress bar in the video playing interface can be represented. In specific implementation, the distribution density of the bullet screen information of the video to be played is obtained, and the video to be played is divided into a plurality of video segments based on the distribution density of the bullet screen information, wherein the time length of each video segment can be the same or different; in practical application, a user can determine a video segment with a large number of bullet screen information according to the distribution density of bullet screens in a playing interface of a video to be played, and the video segment is indicated to be a high-heat segment.
In the embodiment of the description, the video segments are further divided by obtaining the distribution density of the bullet screen information of the video to be played, so that the preloaded video segments can be determined accurately according to the distribution density of the bullet screen information subsequently.
Further, after dividing the video to be played into a plurality of video segments based on the distribution density of the bullet screen information, the method further includes:
acquiring historical behaviors of a current user watching the video to be played;
and under the condition that the historical behavior of the current user is determined to include clicking a video clip with the distribution density of the bullet screen information being greater than or equal to a preset density threshold, taking the video clip with the distribution density of the bullet screen information being greater than or equal to the preset density threshold in the video to be played as a target video clip.
The historical behavior of the current user may include that the user clicks a video clip with the distribution density of the bullet screen information being greater than or equal to a preset density threshold, and the bullet screen density may be understood as the density degree of the number of bullet screens included in the video clip in the playing process of the video clip of the video to be played.
During specific implementation, the video clips with the bullet screen density being greater than or equal to the preset density threshold value are used as target video clips according to the historical behaviors of the current user, so that the video clips with higher density in the video to be played are preferentially used as the target video clips to be preloaded, and in practical application, the user can determine the preloaded video clips according to the distribution density of the bullet screen information of the video to be played.
In the embodiment of the present specification, by determining that the distribution density of the bullet screen information is greater than or equal to the video clip with the preset density threshold, and taking the video clip as the target video clip that is preferentially loaded, not only can the accuracy of preloading videos be improved, but also the played video clip can better meet the requirements of users.
To sum up, in the embodiment of the present specification, a video to be played is divided into a plurality of video segments, a historical search rate of each video segment is determined according to a historical user behavior of watching the video to be played, and a video segment with the historical search rate greater than a preset threshold is preferentially preloaded when a user is determined to be loaded, so that when the user fast forwards the video, a video file is preferentially loaded with a node for fast forwarding the video, the video is smoothly played, not only is the video playing content better in accordance with the user requirement, but also the user does not wait for the video loading for a long time, and the experience of the user is improved.
The following description further describes the video loading method by taking an application of the video loading method provided in this specification to a video playing interface as an example with reference to fig. 3. Fig. 3 is a schematic diagram illustrating a video playing interface of a video loading method according to an embodiment of the present specification.
Fig. 3 shows a video playing interface of a streaming media player, where a region 302 in fig. 3 is a video playing region of the video playing interface, the video playing region may play a video, and a region 304 in fig. 3 is a region for searching for a video clip of the video playing interface, a historical search record of a historical user may be shown below the search region 304, and the user may know in advance the video clip of a hot spot region of a video to be played by the historical user through the historical search record, where the historical search record may search for the historical user for information such as a keyword in the video content to be played.
Specifically, when the server acquires a video to be played, the video to be played is played in the area 302 of fig. 3, historical user behaviors for watching the video to be played are acquired, the video to be played is divided into a plurality of video segments according to a preset time length, the server can count the historical search rate of each target video segment according to the historical search records of the historical users below the search area 304, or search keywords in the search area 304 of fig. 3, and when the current user is determined to be a user to be loaded, the video segment of which the counted historical search rate is greater than or equal to a preset probability threshold value is determined as the target video segment, and the target video segment is preloaded.
In the embodiment of the specification, the video to be played is divided into a plurality of video segments, the historical search rate of each video segment is determined according to the historical user behavior for watching the video to be played, and the video segments with the historical search rates larger than the preset threshold value are preferentially preloaded under the condition that the user to be loaded is determined, so that when the user fast forwards the video, the video file is preferentially loaded with the video fast-forwarding node, the video is smoothly played, the video playing content better meets the user requirements, meanwhile, the user cannot wait for the video loading for a long time, and the user experience is improved.
Corresponding to the above method embodiment, this specification further provides an embodiment of a video loading apparatus, and fig. 4 shows a schematic structural diagram of a video loading apparatus provided in an embodiment of this specification. As shown in fig. 4, the apparatus includes:
a video obtaining module 402, configured to obtain a video to be played and historical user behaviors of historically watching the video to be played;
a search rate statistics module 404, configured to divide the video to be played into a plurality of video segments, and count a historical search rate of each video segment according to the historical user behavior;
the video preloading module 406 is configured to determine the video clips with the historical search rates greater than or equal to a preset probability threshold as target video clips, and preload videos in the target video clips.
Optionally, the video preloading module 406 is further configured to:
acquiring historical behaviors of a current user watching the video to be played;
and under the condition that the current user is determined to be the user to be loaded according to the historical behavior of the current user, determining the video clip with the historical search rate greater than or equal to a preset probability threshold value as a target video clip.
Optionally, the search rate statistics module 404 is further configured to:
and dividing the video to be played into a plurality of video segments according to a preset time length.
Optionally, the search rate statistics module 404 is further configured to:
acquiring the distribution density of the bullet screen information of the video to be played;
and dividing the video to be played into a plurality of video segments based on the distribution density of the bullet screen information.
Optionally, the video preloading module 406 is further configured to:
acquiring historical behaviors of a current user watching the video to be played;
and under the condition that the historical behavior of the current user is determined to include clicking a video clip with the distribution density of the bullet screen information being greater than or equal to a preset density threshold, taking the video clip with the distribution density of the bullet screen information being greater than or equal to the preset density threshold in the video to be played as a target video clip.
Optionally, the search rate statistics module 404 is further configured to:
determining the searching times of each video clip searched by the historical user according to the historical user behavior;
and calculating and obtaining the historical search rate of each video clip in the plurality of video clips based on the search times of each video clip.
Optionally, the video preloading module 406 is further configured to:
and preloading the video to be played according to an initial loading process under the condition that the current user is determined to be a non-user to be loaded according to the historical behavior of the current user.
Optionally, the video loading apparatus further includes:
an acquisition determining module configured to acquire and match the attribute information of the current user and the attribute information of the historical user;
the acquisition determining module is further configured to determine the video segments searched by the historical users matched with the attribute information of the current user as candidate video segments.
Optionally, the video preloading module 406 is further configured to:
determining the historical search rate of the candidate video clips, and determining the candidate video clips with the historical search rate more than or equal to a preset probability threshold value as target video clips.
Optionally, the video preloading module 406 is further configured to:
determining the playing time point of the target video clip in the video to be played;
and preloading the videos in the target video clips based on the sequence of the playing time points.
Optionally, the video preloading module 406 is further configured to:
acquiring the number of users watching the video to be played currently;
and under the condition that the number of the users is larger than or equal to a preset number threshold, determining the video clips of which the historical search rate is larger than or equal to a first preset probability threshold as target video clips, and preloading the videos in the target video clips according to a first loading length.
Optionally, the video preloading module 406 is further configured to:
determining the video clips with the historical search rate larger than or equal to a second preset probability threshold as target video clips under the condition that the number of the users is smaller than a preset number threshold, preloading videos in the target video clips according to a second loading length,
the second preset probability threshold is greater than the first preset probability threshold, and the second loading length is greater than the first loading length.
Optionally, the video preloading module 406 is further configured to:
acquiring the current playing time of the video to be played;
and under the condition that the current playing time is within a preset time period, determining the video clip of which the historical search rate is greater than or equal to a first preset probability threshold value as a target video clip, and preloading the video in the target video clip according to a first loading length.
Optionally, the video preloading module 406 is further configured to:
determining the video clips with the historical search rate larger than or equal to a second preset probability threshold value as target video clips under the condition that the current playing time is out of a preset time period, preloading videos in the target video clips according to a second loading length,
the second preset probability threshold is greater than the first preset probability threshold, and the second loading length is greater than the first loading length.
In the embodiment of the specification, a video to be played is divided into a plurality of video segments, the historical search rate of each video segment is determined according to the historical user behavior for watching the video to be played, and the video segments with the historical search rates larger than the preset threshold value are preferentially preloaded under the condition that the user to be loaded is determined, so that when the user fast forwards the video, video file nodes for video fast forwarding are preferentially loaded, the video is smoothly played, the video playing content better meets the user requirements, meanwhile, the user cannot wait for the video loading for a long time, and the user experience is improved.
The above is a schematic scheme of a video loading apparatus of this embodiment. It should be noted that the technical solution of the video loading apparatus and the technical solution of the video loading method belong to the same concept, and details that are not described in detail in the technical solution of the video loading apparatus can be referred to the description of the technical solution of the video loading method.
Referring to fig. 5, fig. 5 illustrates a block diagram of a computing device 500 provided according to an embodiment of the present description. The components of the computing device 500 include, but are not limited to, a memory 510 and a processor 520. Processor 520 is coupled to memory 510 via bus 530, and database 550 is used to store data.
Computing device 500 also includes access device 540, access device 540 enabling computing device 500 to communicate via one or more networks 560. Examples of such networks include the Public Switched Telephone Network (PSTN), a Local Area Network (LAN), a Wide Area Network (WAN), a Personal Area Network (PAN), or a combination of communication networks such as the internet. The access device 540 may include one or more of any type of network interface, e.g., a Network Interface Card (NIC), wired or wireless, such as an IEEE802.11 Wireless Local Area Network (WLAN) wireless interface, a worldwide interoperability for microwave access (Wi-MAX) interface, an ethernet interface, a Universal Serial Bus (USB) interface, a cellular network interface, a bluetooth interface, a Near Field Communication (NFC) interface, and so forth.
In one embodiment of the present description, the above-described components of computing device 500, as well as other components not shown in FIG. 5, may also be connected to each other, such as by a bus. It should be understood that the block diagram of the computing device architecture shown in FIG. 5 is for purposes of example only and is not limiting as to the scope of the present description. Those skilled in the art may add or replace other components as desired.
Computing device 500 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., tablet, personal digital assistant, laptop, notebook, netbook, etc.), mobile phone (e.g., smartphone), wearable computing device (e.g., smartwatch, smartglasses, etc.), or other type of mobile device, or a stationary computing device such as a desktop computer or PC. Computing device 500 may also be a mobile or stationary server.
Wherein processor 520 is configured to execute computer-executable instructions that when executed by the processor implement the steps of the video loading method.
The above is an illustrative scheme of a computing device of the present embodiment. It should be noted that the technical solution of the computing device and the technical solution of the video loading method belong to the same concept, and details that are not described in detail in the technical solution of the computing device can be referred to the description of the technical solution of the video loading method.
An embodiment of the present specification further provides a computer readable storage medium storing computer instructions, which when executed by a processor, implement the steps of the video loading method.
The above is an illustrative scheme of a computer-readable storage medium of the present embodiment. It should be noted that the technical solution of the storage medium belongs to the same concept as the technical solution of the video loading method, and details that are not described in detail in the technical solution of the storage medium can be referred to the description of the technical solution of the video loading method.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The computer instructions comprise computer program code which may be in the form of source code, object code, an executable file or some intermediate form, or the like. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It should be noted that, for the sake of simplicity, the foregoing method embodiments are described as a series of acts, but those skilled in the art should understand that the present embodiment is not limited by the described acts, because some steps may be performed in other sequences or simultaneously according to the present embodiment. Further, those skilled in the art should also appreciate that the embodiments described in this specification are preferred embodiments and that acts and modules referred to are not necessarily required for an embodiment of the specification.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The preferred embodiments of the present specification disclosed above are intended only to aid in the description of the specification. Alternative embodiments are not exhaustive and do not limit the invention to the precise embodiments described. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the embodiments and the practical application, to thereby enable others skilled in the art to best understand and utilize the embodiments. The specification is limited only by the claims and their full scope and equivalents.
Claims (17)
1. A method for video loading, comprising:
acquiring a video to be played and historical user behaviors of historically watching the video to be played;
dividing the video to be played into a plurality of video segments, and counting the historical search rate of each video segment according to the historical user behavior;
and determining the video clips with the historical search rate larger than or equal to a preset probability threshold value as target video clips, and preloading videos in the target video clips.
2. The video loading method according to claim 1, wherein the determining, as the target video segment, the video segment with the historical search rate greater than or equal to a preset probability threshold comprises:
acquiring historical behaviors of a current user watching the video to be played;
and under the condition that the current user is determined to be the user to be loaded according to the historical behavior of the current user, determining the video clip with the historical search rate greater than or equal to a preset probability threshold value as a target video clip.
3. The video loading method according to claim 1 or 2, wherein the dividing the video to be played into a plurality of video segments comprises:
and dividing the video to be played into a plurality of video segments according to a preset time length.
4. The video loading method according to claim 1 or 2, wherein the dividing the video to be played into a plurality of video segments comprises:
acquiring the distribution density of the bullet screen information of the video to be played;
and dividing the video to be played into a plurality of video segments based on the distribution density of the bullet screen information.
5. The video loading method according to claim 4, wherein after dividing the video to be played into a plurality of video segments based on the distribution density of the barrage information, the method further comprises:
acquiring historical behaviors of a current user watching the video to be played;
and under the condition that the historical behavior of the current user is determined to include clicking a video clip with the distribution density of the bullet screen information being greater than or equal to a preset density threshold, taking the video clip with the distribution density of the bullet screen information being greater than or equal to the preset density threshold in the video to be played as a target video clip.
6. The video loading method according to claim 1, wherein the counting the historical search rate of each video segment according to the historical user behavior comprises:
determining the searching times of each video clip searched by the historical user according to the historical user behavior;
and calculating and obtaining the historical search rate of each video clip in the plurality of video clips based on the search times of each video clip.
7. The video loading method according to claim 2 or 6, wherein after obtaining the historical behavior of the current user watching the video to be played, the method further comprises:
and preloading the video to be played according to an initial loading process under the condition that the current user is determined to be a non-user to be loaded according to the historical behavior of the current user.
8. The video loading method according to claim 1, wherein before determining the video segment with the historical search rate greater than or equal to the preset probability threshold as the target video segment, the method further comprises:
acquiring and matching the attribute information of the current user and the attribute information of the historical user;
and determining the video clips searched by the historical users matched with the attribute information of the current user as candidate video clips.
9. The video loading method according to claim 8, wherein the determining, as the target video segment, the video segment with the historical search rate greater than or equal to the preset probability threshold comprises:
determining the historical search rate of the candidate video clips, and determining the candidate video clips with the historical search rate more than or equal to a preset probability threshold value as target video clips.
10. The video loading method according to claim 1 or 9, wherein the preloading the video in the target video segment comprises:
determining the playing time point of the target video clip in the video to be played;
and preloading the videos in the target video clips based on the sequence of the playing time points.
11. The video loading method according to claim 1 or 9, wherein the determining, as the target video segment, the video segment with the historical search rate greater than or equal to a preset probability threshold and preloading the video in the target video segment includes:
acquiring the number of users watching the video to be played currently;
and under the condition that the number of the users is larger than or equal to a preset number threshold, determining the video clips of which the historical search rate is larger than or equal to a first preset probability threshold as target video clips, and preloading the videos in the target video clips according to a first loading length.
12. The video loading method according to claim 11, wherein after obtaining the number of users currently watching the video to be played, the method further comprises:
determining the video clips with the historical search rate larger than or equal to a second preset probability threshold as target video clips under the condition that the number of the users is smaller than a preset number threshold, preloading videos in the target video clips according to a second loading length,
the second preset probability threshold is greater than the first preset probability threshold, and the second loading length is greater than the first loading length.
13. The video loading method according to claim 1 or 9, wherein the determining, as the target video segment, the video segment with the historical search rate greater than or equal to a preset probability threshold and preloading the video in the target video segment includes:
acquiring the current playing time of the video to be played;
and under the condition that the current playing time is within a preset time period, determining the video clip of which the historical search rate is greater than or equal to a first preset probability threshold value as a target video clip, and preloading the video in the target video clip according to a first loading length.
14. The video loading method according to claim 13, wherein after obtaining the current playing time of the video to be played, the method further comprises:
determining the video clips with the historical search rate larger than or equal to a second preset probability threshold value as target video clips under the condition that the current playing time is out of a preset time period, preloading videos in the target video clips according to a second loading length,
the second preset probability threshold is greater than the first preset probability threshold, and the second loading length is greater than the first loading length.
15. A video loading apparatus, comprising:
the video acquisition module is configured to acquire a video to be played and historical user behaviors of watching the video to be played historically;
the search rate counting module is configured to divide the video to be played into a plurality of video segments and count the historical search rate of each video segment according to the historical user behaviors;
the video preloading module is configured to determine the video clips with the historical search rate larger than or equal to a preset probability threshold value as target video clips, and preload videos in the target video clips.
16. A computing device, comprising:
a memory and a processor;
the memory is configured to store computer-executable instructions and the processor is configured to execute the computer-executable instructions, which when executed by the processor, implement the steps of the video loading method of any of claims 1-14.
17. A computer readable storage medium storing computer instructions which, when executed by a processor, carry out the steps of the video loading method of any of claims 1 to 14.
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| US17/532,661 US11949928B2 (en) | 2020-11-20 | 2021-11-22 | Video loading method and device |
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| 申海伟等: "基于数据稀缺度的P2P视频点播系统缓存方案", 《电子技术与软件工程》 * |
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| CN115086709A (en) * | 2021-03-10 | 2022-09-20 | 上海哔哩哔哩科技有限公司 | Dynamic cover setting method and system |
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| CN113468375A (en) * | 2021-07-01 | 2021-10-01 | 北京百度网讯科技有限公司 | Video playing method and device, electronic equipment and medium |
| WO2023273562A1 (en) * | 2021-07-01 | 2023-01-05 | 北京百度网讯科技有限公司 | Video playback method and apparatus, electronic device, and medium |
| CN114900732A (en) * | 2022-04-25 | 2022-08-12 | 北京奇艺世纪科技有限公司 | Video caching method and device, electronic equipment and storage medium |
| CN114900732B (en) * | 2022-04-25 | 2024-01-12 | 北京奇艺世纪科技有限公司 | Video caching method and device, electronic equipment and storage medium |
| CN115278290A (en) * | 2022-06-30 | 2022-11-01 | 华中科技大学 | Virtual reality video caching method and device based on edge nodes |
| CN115278290B (en) * | 2022-06-30 | 2024-04-19 | 华中科技大学 | Virtual reality video caching method and device based on edge nodes |
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