WO2021169458A1 - 视频播放方法、装置、电子设备及存储介质 - Google Patents

视频播放方法、装置、电子设备及存储介质 Download PDF

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Publication number
WO2021169458A1
WO2021169458A1 PCT/CN2020/133006 CN2020133006W WO2021169458A1 WO 2021169458 A1 WO2021169458 A1 WO 2021169458A1 CN 2020133006 W CN2020133006 W CN 2020133006W WO 2021169458 A1 WO2021169458 A1 WO 2021169458A1
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WIPO (PCT)
Prior art keywords
video
key content
content
key
playback
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PCT/CN2020/133006
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English (en)
French (fr)
Inventor
张明月
赵金鑫
郭广慧
Original Assignee
北京百度网讯科技有限公司
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Application filed by 北京百度网讯科技有限公司 filed Critical 北京百度网讯科技有限公司
Priority to JP2021536282A priority Critical patent/JP7236544B2/ja
Priority to KR1020217019201A priority patent/KR102545040B1/ko
Priority to EP20900687.3A priority patent/EP3896987A4/en
Priority to US17/417,068 priority patent/US20220328076A1/en
Publication of WO2021169458A1 publication Critical patent/WO2021169458A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/472—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content
    • H04N21/47217—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content for controlling playback functions for recorded or on-demand content, e.g. using progress bars, mode or play-point indicators or bookmarks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—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
    • H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
    • H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
    • 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
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/85—Assembly of content; Generation of multimedia applications
    • H04N21/854—Content authoring
    • H04N21/8549—Creating video summaries, e.g. movie trailer
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning

Definitions

  • This application relates to computer application technology, in particular to video playback methods, devices, electronic equipment, and storage media in the field of video processing.
  • the user may need to perform frequent operations, which increases the complexity of the user's implementation.
  • the unwatched content is unknown to the user in most cases, the user can only blindly drag the progress bar Waiting to find important content, it is likely to miss the important content, which affects the user's acquisition of important content and so on.
  • this application provides a video playback method, device, electronic equipment, and storage medium.
  • a video playback method including:
  • the method further includes: obtaining training samples, the training samples including: sample videos, and the time when the user watching the sample video interacts with the sample video; according to the training Sample training obtains the machine model.
  • the method before using the machine model to identify key content and non-key content in the video, the method further includes: determining whether the creator of the video added the video when making the video. Marking information, if not, use the machine model to identify key content and non-key content in the video.
  • the method further includes: providing the terminal device with different playback speeds set by the creator of the video for the key content and the non-key content when making the video, so that The terminal device plays the key content and the non-key content according to different set playback speeds.
  • the training to obtain a machine model based on the training samples includes: training to obtain a common machine model for different types of videos; or, for different types of videos, training to obtain the different types respectively The corresponding machine model.
  • a video playback method including:
  • the mark information includes: comparing all the key content and non-key content in the video according to the pre-trained machine model. State the mark information added after identifying the key content and non-key content in the video;
  • the key content and the non-key content are played at different playback speeds, wherein the playback speed of the non-key content is greater than the playback speed of the key content.
  • the machine model is trained according to the constructed training sample, and the training sample includes: a sample video and the time when a user watching the sample video interacts with the sample video.
  • the marking information includes:
  • mark information set at the start time and end time position of the non-key content
  • the marking information further includes: marking information that the creator of the video added to the video when making the video.
  • the playing the key content and the non-key content at different playback speeds includes:
  • the key content and the non-key content are played according to different playback speeds set in advance for the key content and the non-key content by the user watching the video.
  • a video processing device includes: a video processing unit;
  • the video processing unit is configured to use a pre-trained machine model for any video to identify key content and non-key content in the video, and add tag information according to the recognition result; send the video to the request
  • the terminal device for playing, so that when the terminal device is playing the video, it distinguishes the key content and non-key content in the video according to the mark information, and compares the key content and the non-key content according to different playback speeds.
  • the non-key content is played, wherein the playback speed of the non-key content is greater than the playback speed of the key content.
  • the device further includes: a preprocessing unit for obtaining training samples, the training samples include: sample videos, and a user watching the sample video interacts with the sample video The time of the behavior, the machine model is obtained by training according to the training sample.
  • the video processing unit is further configured to, before using the machine model to identify key content and non-key content in the video, determine that the creator of the video is making the Whether the tag information is added to the video, if not, the machine model is used to identify the key content and non-key content in the video.
  • the video processing unit is further configured to provide the video creator with different playback speeds set for the key content and the non-key content when making the video.
  • a terminal device so that the terminal device plays the key content and the non-key content according to different set playback speeds.
  • the pre-processing unit is further configured to train to obtain a common machine model for different types of videos, or to train different types of corresponding machine models for different types of videos. .
  • a video playing device includes: a content distinguishing unit and a content playing unit;
  • the content distinguishing unit is configured to distinguish between key content and non-key content in the video according to mark information set in the video when playing any video; wherein, the mark information includes: The mark information added after the machine model obtained by pre-training recognizes the key content and the non-key content in the video;
  • the content playback unit is configured to play the key content and the non-key content according to different playback speeds, wherein the playback speed of the non-key content is greater than the playback speed of the key content.
  • the machine model is trained according to the constructed training sample, and the training sample includes: a sample video and the time when a user watching the sample video interacts with the sample video.
  • the marking information includes:
  • mark information set at the start time and end time position of the non-key content
  • the marking information further includes: marking information that the creator of the video added to the video when making the video.
  • the content playback unit controls the key content according to different playback speeds set by the creator of the acquired video for the key content and the non-key content when making the video.
  • the content and the non-key content are played;
  • the content playback unit plays the key content and the non-key content according to different playback speeds set in advance for the key content and the non-key content by the user watching the video.
  • An electronic device including:
  • At least one processor At least one processor
  • a memory communicatively connected with the at least one processor; wherein,
  • the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute the method as described above.
  • a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the method as described above.
  • the key content and non-key content in the video can be automatically distinguished according to the set mark information, and the key content and non-key content can be performed at different playback speeds. Play, so there is no need for users to operate the progress bar, which simplifies user operations and does not miss key content.
  • By automatically adjusting the video playback speed it helps users quickly consume and extract key content, reducing the time cost for users to obtain key content information You don’t need to make major changes to the video, just add the tagging information, which not only retains the original content when the video is made, but also does not affect the viewing experience; manual tagging can also be used, or machine tagging can be used.
  • the creator of the video can set the playback speed, and the playback speed can also be set by the user watching the video. They are not limited to a specific method, and are very flexible and convenient in terms of implementation; the other effects of the above optional methods will be combined in the following Specific embodiments are described.
  • FIG. 1 is a flowchart of the first embodiment of the video playback method described in this application;
  • FIG. 2 is a flowchart of a second embodiment of the video playback method described in this application.
  • FIG. 3 is a schematic diagram of the overall implementation process of the video playback method described in this application.
  • FIG. 4 is a schematic diagram of a comparison of video playback duration before and after the automatic adjustment of video playback speed according to this application;
  • FIG. 5 is a schematic diagram of the composition structure of an embodiment 500 of a video processing apparatus according to this application.
  • FIG. 6 is a schematic diagram of the composition structure of an embodiment 600 of the video playback device according to this application.
  • Fig. 7 is a block diagram of an electronic device according to the method described in an embodiment of the present application.
  • FIG. 1 is a flowchart of the first embodiment of the video playback method described in this application. As shown in Figure 1, it includes the following specific implementations.
  • a pre-trained machine model is used to identify key content and non-key content in the video, and tag information is added according to the recognition result.
  • the video is sent to the terminal device that requests to be played, so that when the terminal device is playing the video, it can distinguish the key content and the non-key content in the video according to the mark information, and compare the key content and the non-key content according to different playback speeds.
  • the key content is played, where the playback speed of the non-key content is greater than the playback speed of the key content.
  • a machine model can be obtained through pre-training, and the machine model can be used to identify the key content and non-key content in the video and then add the tag information.
  • the machine model can be trained based on the constructed training samples.
  • each training sample may include: a sample video, and the time when the user watching the sample video interacts with the sample video.
  • the time during which interactive behaviors such as liking, opening up the comment window, posting comments, and sharing occurred during the user's viewing process can be recorded.
  • the time during which interactive behaviors such as liking, opening up the comment window, posting comments, and sharing occurred during the user's viewing process can be recorded.
  • the time during which interactive behaviors such as liking, opening up the comment window, posting comments, and sharing occurred during the user's viewing process can be recorded.
  • the time during which interactive behaviors such as liking, opening up the comment window, posting comments, and sharing occurred during the user's viewing process can be recorded.
  • the time during which interactive behaviors such as liking, opening up the comment window, posting comments, and sharing occurred during the user's viewing process can be recorded.
  • the time during which interactive behaviors such as liking, opening up the comment window, posting comments, and sharing occurred during the user's viewing process can be recorded.
  • the time during which interactive behaviors such as liking, opening up the comment window, posting comments, and sharing occurred during the user's viewing process can be recorded.
  • the training process can be understood as allowing the machine model to learn features of key content, so as to distinguish key content from non-key content based on the features.
  • a common machine model can be trained for different types of videos, such as short videos, long videos, live playback, etc.
  • the training samples used during training can contain different types of sample videos.
  • a corresponding machine model may be trained for different types of videos. Accordingly, for any type, the training samples used during training may only include the sample videos of that type. In the latter case, the model structure of each machine model is usually the same.
  • the tag information can also be added to the video by the creator of the video when making the video.
  • the creator of the video before using the machine model to identify the key content and non-key content in the video, the creator of the video can also be determined first. Whether to add markup information when making the video, if not, the machine model can be used to identify the key content and non-key content in the video, if it is, there is no need to add it repeatedly. Either manual marking method or machine marking method can be used.
  • the video creator can also set different playback speeds for key content and non-key content when making the video.
  • the set different playback speeds can be issued in a certain way when requesting to play the video, and the specific way is not limited.
  • the key content and non-key content can be played at different set playback speeds.
  • the key content and the non-key content can also be played according to different playback speeds set in advance for the key content and the non-key content by the user watching the video.
  • FIG. 2 is a flowchart of a second embodiment of the video playback method described in this application. As shown in Figure 2, it includes the following specific implementations.
  • the mark information includes: Marking information added after identifying the key content and non-key content in the.
  • the key content and the non-key content are played at different playback speeds, where the playback speed of the non-key content is greater than the playback speed of the key content.
  • the video playback speed can be automatically adjusted, which is referred to as "focus" for short.
  • tag information can be set so that the key content and non-key content in the video can be distinguished based on the tag information.
  • mark information can be set at the start time and end time position of the key content, or mark information can be set at the start time and end time position of the non-key content.
  • the specific form of the tag information is not limited and can be determined according to actual needs. For example, it can be a specific identifier inserted, which is only used to distinguish key content from non-key content, and does not change the video playback content.
  • a video it may contain only one key content, or it may contain multiple key content. If the start time and end time of the key content are marked, the video content corresponding to the time period from the start time to the end time is the key content, and the rest of the video content is the non-key content. If the start time and end time of the non-key content are marked, the video content corresponding to the time period from the start time to the end time is the non-key content, and the rest of the video content is the key content.
  • mark information can be set at the positions of 3 minutes and 5 minutes respectively.
  • the tag information may be tag information added after identifying key content and non-key content in the video according to a machine model obtained by pre-training. Or, it can also be the tag information that the creator of the video added to the video when making the video. Either manual marking method or machine marking method can be used.
  • a machine model can be obtained by pre-training, and the machine model can be used to identify the key content and non-key content in the video and then add the tag information.
  • the machine model can be trained based on the constructed training samples.
  • each training sample may include: a sample video, and the time when a user watching the sample video has an interactive behavior with respect to the sample video.
  • the time during which interactive behaviors such as liking, opening up the comment window, posting comments, and sharing occurred during the user's viewing process can be recorded.
  • the time during which interactive behaviors such as liking, opening up the comment window, posting comments, and sharing occurred during the user's viewing process can be recorded.
  • the time during which interactive behaviors such as liking, opening up the comment window, posting comments, and sharing occurred during the user's viewing process can be recorded.
  • the time during which interactive behaviors such as liking, opening up the comment window, posting comments, and sharing occurred during the user's viewing process can be recorded.
  • the time during which interactive behaviors such as liking, opening up the comment window, posting comments, and sharing occurred during the user's viewing process can be recorded.
  • the time during which interactive behaviors such as liking, opening up the comment window, posting comments, and sharing occurred during the user's viewing process can be recorded.
  • the time during which interactive behaviors such as liking, opening up the comment window, posting comments, and sharing occurred during the user's viewing process can be recorded.
  • the training process can be understood as allowing the machine model to learn features of key content, so as to distinguish key content from non-key content based on the features.
  • a machine model can be jointly trained for different types of videos, such as short videos, long videos, live playback, etc.
  • the training samples used during training can contain different types of sample videos.
  • a corresponding machine model may be trained for different types of videos. Accordingly, for any type, the training samples used during training may only include the sample videos of that type. In the latter case, the model structure of each machine model is usually the same.
  • the key content and non-key content in the video can be played at different playback speeds, where the playback speed of the non-key content is greater than the playback speed of the key content.
  • key content can be played at normal speed, that is, 1x speed
  • non-key content can be played at 1.5x or 2x speed.
  • the user Before watching the video, the user can also make a selection first, such as whether to "focus on” or not, for example, a button can be displayed in a certain position of the video interface, and the user can choose to turn it on or off. If it is turned on, it means "focus on focus”. Locally, you can play key content and non-key content at different playback speeds. If you turn it off, it means you don’t need to "look at the key points”. Correspondingly, the entire video can be played in the traditional way of playing, that is, at 1x speed. Play the entire video.
  • the key content and non-key content can be played at different playback speeds set by the creator of the obtained video during the production of the video. Play the key content.
  • the set different playback speeds can be issued in a certain way when the user requests to play the video.
  • the specific method is not limited.
  • the key content and the non-key content can be adjusted according to the set different playback speeds. Play it.
  • the key content and the non-key content can also be played according to different playback speeds set in advance for the key content and the non-key content by the user watching the video.
  • FIG. 3 is a schematic diagram of the overall implementation process of the video playback method described in this application.
  • the creator of the video can set the marking information at the same time when making the video. For example, set the marking information at the start time and end time of the key content.
  • the key content and non-key content in the video can be distinguished, and the key content can be played at 1x speed according to the different playback speeds preset by the user watching the video, and the non-key content can be played at 1.5x speed.
  • the user can see the video content after the video playback speed is automatically adjusted.
  • FIG. 4 is a schematic diagram of the comparison of the video playback duration before and after the automatic adjustment of the video playback speed described in this application.
  • the video content corresponding to the time period from 3 minutes to 5 minutes is the key content
  • the time period from 0 minutes to 3 minutes and from 5 minutes to 8 For a time period of 1 minute, the non-key content is played at 1.5 times speed (if necessary, two non-key content can be played at different playback speeds).
  • the non-key content is played at 1 times speed.
  • the key content is played, so that a video that originally required 8 minutes to be played will only need to be played for 6 minutes.
  • using the solution described in the method embodiment of the present application can automatically distinguish the key content and non-key content in the video according to the set tag information, and play the key content and non-key content according to different playback speeds. Therefore, there is no need for users to operate the progress bar, which simplifies user operations and does not miss key content.
  • By automatically adjusting the video playback speed it helps users to quickly consume and extract key content, and reduces the time cost for users to obtain key content information; There is no need to make major changes to the video, just add the tagging information, which not only retains the original content of the video production, but also does not affect the viewing experience; manual tagging can also be used, or machine tagging can be used.
  • the creator can set the playback speed, and the playback speed can also be set by the user watching the video. They are not limited to a specific method, and it is very flexible and convenient in terms of implementation.
  • FIG. 5 is a schematic diagram of the composition structure of an embodiment 500 of a video processing apparatus according to this application. As shown in FIG. 5, it includes: a video processing unit 502, and in addition, may further include: a preprocessing unit 501.
  • the pre-processing unit 501 is used to obtain training samples.
  • the training samples include: sample videos and the time when users who watch the sample videos interact with the sample videos; and train a machine model based on the training samples.
  • the video processing unit 502 is used for identifying the key content and non-key content in the video with a machine model for any video, and adding tag information according to the recognition result; sending the video to the terminal device that requests playback, so that the terminal device can When playing the video, distinguish the key content and the non-key content in the video according to the tag information, and play the key content and the non-key content according to different playback speeds, where the playback speed of the non-key content is greater than the playback of the key content speed.
  • the video processing unit 502 can also determine whether the creator of the video added markup information when making the video before using the machine model to identify the key content and non-key content in the video. If not, the machine model can be used to The key content and non-key content are identified.
  • the video processing unit 502 can also provide the terminal device with different playback speeds set by the creator of the video for key content and non-key content when making the video, so that the terminal device can compare key content and non-key content according to the set different playback speeds. Play it.
  • the preprocessing unit 501 may train for different types of videos to obtain a common machine model, or for different types of videos, train to obtain different types of corresponding machine models.
  • FIG. 6 is a schematic diagram of the composition structure of an embodiment 600 of the video playback device described in this application. As shown in FIG. 6, it includes: a content distinguishing unit 601 and a content playing unit 602.
  • the content distinguishing unit 601 is used to distinguish key content and non-key content in the video according to the mark information set in the video when playing any video; wherein the mark information includes: Marking information added after identifying key content and non-key content in the video.
  • the content playing unit 602 is configured to play key content and non-key content according to different playback speeds, where the playback speed of the non-key content is greater than the playback speed of the key content.
  • mark information can be set at the start time and end time position of the key content, or mark information can be set at the start time and end time position of the non-key content.
  • the specific form of the marking information is not limited and can be determined according to actual needs.
  • a video it may contain only one key content, or it may contain multiple key content. If the start time and end time of the key content are marked, the video content corresponding to the time period from the start time to the end time is the key content, and the rest of the video content is the non-key content. If the start time and the end time of the non-key content are marked The end time is marked, then the video content corresponding to the time period from the start time to the end time is the non-key content, and the rest of the video content is the key content.
  • the mark information can be the mark information added after identifying the key content and non-key content in the video according to the machine model obtained in advance. In addition, it can also be used by the creator of the video in the production of the video. The tag information added to the video at the time. Either manual marking method or machine marking method can be used.
  • each training sample may include: a sample video, and the time when a user watching the sample video has an interactive behavior with respect to the sample video.
  • a machine model can be jointly trained for different types of videos, such as short videos, long videos, live playback, etc. Accordingly, the training samples used during training can contain different types of sample videos . Alternatively, a corresponding machine model may be trained for different types of videos. Accordingly, for any type, the training samples used during training may only include the sample videos of that type. In the latter case, the model structure of each machine model is usually the same.
  • the content playing unit 602 can play at different playback speeds, where the playback speed of the non-key content is greater than the playback speed of the key content.
  • key content can be played at normal speed, that is, 1x speed
  • non-key content can be played at 1.5x or 2x speed.
  • the content playing unit 602 may play the key content and the non-key content according to different playback speeds set for the key content and the non-key content when the creator of the acquired video is making the video.
  • the content playing unit 602 may also play the key content and the non-key content according to different playback speeds set in advance for the key content and the non-key content by the user watching the video.
  • the video playback speed By automatically adjusting the video playback speed, it helps users to quickly consume and extract key content, and reduces the time cost for users to obtain key content information; There is no need to make major changes to the video, just add the tag information, which not only retains the original content of the video production, but also does not affect the viewing experience; manual tagging can be used, or machine tagging can be used, and the video can be marked
  • the creator can set the playback speed, and the playback speed can also be set by the user watching the video. They are not limited to a specific method, and it is very flexible and convenient in terms of implementation.
  • the present application also provides an electronic device and a readable storage medium.
  • FIG. 7 it is a block diagram of an electronic device according to the method described in the embodiment of the present application.
  • Electronic devices are intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers.
  • Electronic devices can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices.
  • the components shown herein, their connections and relationships, and their functions are merely examples, and are not intended to limit the implementation of the application described and/or required herein.
  • the electronic device includes one or more processors Y01, memory Y02, and interfaces for connecting various components, including a high-speed interface and a low-speed interface.
  • the various components are connected to each other using different buses, and can be installed on a common motherboard or installed in other ways as needed.
  • the processor may process instructions executed in the electronic device, including instructions stored in or on the memory to display graphical information of the graphical user interface on an external input/output device (such as a display device coupled to the interface).
  • an external input/output device such as a display device coupled to the interface.
  • multiple processors and/or multiple buses can be used with multiple memories and multiple memories.
  • multiple electronic devices can be connected, and each device provides part of the necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system).
  • a processor Y01 is taken as an example.
  • the memory Y02 is the non-transitory computer-readable storage medium provided by this application.
  • the memory stores instructions executable by at least one processor, so that the at least one processor executes the method provided in this application.
  • the non-transitory computer-readable storage medium of the present application stores computer instructions, and the computer instructions are used to make a computer execute the method provided in the present application.
  • the memory Y02 can be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the method in the embodiments of the present application.
  • the processor Y01 executes various functional applications and data processing of the server by running the non-transitory software programs, instructions, and modules stored in the memory Y02, that is, implements the methods in the foregoing method embodiments.
  • the memory Y02 may include a program storage area and a data storage area.
  • the program storage area may store an operating system and an application program required by at least one function; the data storage area may store data created according to the use of the electronic device.
  • the memory Y02 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices.
  • the memory Y02 may optionally include a memory remotely provided with respect to the processor Y01, and these remote memories may be connected to the electronic device through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, blockchain networks, local area networks, mobile communication networks, and combinations thereof.
  • the electronic device may also include: an input device Y03 and an output device Y04.
  • the processor Y01, the memory Y02, the input device Y03, and the output device Y04 may be connected via a bus or other methods. In FIG. 7, the connection via a bus is taken as an example.
  • the input device Y03 can receive input digital or character information, and generate key signal input related to user settings and function control of electronic equipment, such as touch screen, keypad, mouse, track pad, touch pad, indicator stick, one or more Input devices such as mouse buttons, trackballs, joysticks, etc.
  • the output device Y04 may include a display device, an auxiliary lighting device, a tactile feedback device (for example, a vibration motor), and the like.
  • the display device may include, but is not limited to, a liquid crystal display, a light emitting diode display, and a plasma display. In some embodiments, the display device may be a touch screen.
  • Various implementations of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, application specific integrated circuits, computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: being implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, the programmable processor It can be a dedicated or general-purpose programmable processor that can receive data and instructions from the storage system, at least one input device, and at least one output device, and transmit the data and instructions to the storage system, the at least one input device, and the at least one output device. An output device.
  • the systems and techniques described herein can be implemented on a computer that has: a display device for displaying information to the user (for example, a cathode ray tube or a liquid crystal display monitor); and a keyboard and pointing A device (for example, a mouse or a trackball) through which the user can provide input to the computer through the keyboard and the pointing device.
  • a display device for displaying information to the user
  • a keyboard and pointing A device for example, a mouse or a trackball
  • Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (for example, visual feedback, auditory feedback, or tactile feedback); and can be in any form (including Acoustic input, voice input, or tactile input) to receive input from the user.
  • the systems and technologies described herein can be implemented in a computing system that includes back-end components (for example, as a data server), or a computing system that includes middleware components (for example, an application server), or a computing system that includes front-end components (for example, A user computer with a graphical user interface or a web browser through which the user can interact with the implementation of the system and technology described herein), or includes such back-end components, middleware components, Or any combination of front-end components in a computing system.
  • the components of the system can be connected to each other through any form or medium of digital data communication (for example, a communication network). Examples of communication networks include: local area networks, wide area networks, blockchain networks, and the Internet.
  • the computer system can include clients and servers.
  • the client and server are generally far away from each other and usually interact through a communication network.
  • the relationship between the client and the server is generated by computer programs that run on the corresponding computers and have a client-server relationship with each other.

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Abstract

本申请公开了视频播放方法、装置、电子设备及存储介质，涉及视频处理领域，其中的方法可包括：在对任一视频进行播放时，根据视频中设置的标记信息，区分出视频中的重点内容和非重点内容；其中，标记信息可包括：根据预先训练得到的机器模型对视频中的重点内容和非重点内容进行识别后加入的标记信息；按照不同的播放速度对重点内容和非重点内容进行播放，其中，非重点内容的播放速度大于重点内容的播放速度。应用本申请所述方案，可简化用户操作，并帮助用户快速消费提取重点内容等。

Description

视频播放方法、装置、电子设备及存储介质
本申请要求了申请日为2020年02月28日，申请号为2020101312311发明名称为“视频播放方法、装置、电子设备及存储介质”的中国专利申请的优先权。
技术领域
本申请涉及计算机应用技术，特别涉及视频处理领域的视频播放方法、装置、电子设备及存储介质。
背景技术
随着5G时代的到来，视频将占据越来越多的传播渠道。用户在观看视频时，可通过点击或拖动进度条等方式来调整视频播放速度。
但这种方式下用户可能需要频繁地进行操作，从而增加了用户的实现复杂度，而且，由于多数情况下未观看的内容对于用户来说是未知的，因此用户只能盲目地拖动进度条等来寻找重要内容，这样很可能漏掉重点内容，从而影响了用户对于重要内容的获取等。
发明内容
有鉴于此，本申请提供了视频播放方法、装置、电子设备及存储介质。
一种视频播放方法，包括：
针对任一视频，利用预先训练得到的机器模型对所述视频中的重点内容和非重点内容进行识别，并根据识别结果加入标记信息；
将所述视频发送给请求播放的终端设备，以便所述终端设备在对所述视频进行播放时，根据所述标记信息区分出所述视频中的重点内容和非重点内容，并按照不同的播放速度对所述重点内容和所述非重点内容进行播放，其中，所述非重点内容的播放速度大于所述重点内容的播放速度。
根据本申请一优选实施例，该方法进一步包括：获取训练样本，所述训练样本中包括：样本视频，以及观看所述样本视频的用户针对所述 样本视频发生交互行为的时间；根据所述训练样本训练得到所述机器模型。
根据本申请一优选实施例，利用所述机器模型对所述视频中的重点内容和非重点内容进行识别之前，进一步包括：确定所述视频的创作者在制作所述视频时是否加入了所述标记信息，若否，则利用所述机器模型对所述视频中的重点内容和非重点内容进行识别。
根据本申请一优选实施例，该方法进一步包括：将所述视频的创作者在制作所述视频时针对所述重点内容和所述非重点内容设置的不同播放速度提供给所述终端设备，以便所述终端设备按照设置的不同播放速度对所述重点内容和所述非重点内容进行播放。
根据本申请一优选实施例，所述根据所述训练样本训练得到机器模型包括：针对不同类型的视频，训练得到一个共同的机器模型；或者，针对不同类型的视频，分别训练得到所述不同类型对应的机器模型。
一种视频播放方法，包括：
在对任一视频进行播放时，根据所述视频中设置的标记信息，区分出所述视频中的重点内容和非重点内容；其中，所述标记信息包括：根据预先训练得到的机器模型对所述视频中的重点内容和非重点内容进行识别后加入的标记信息；
按照不同的播放速度对所述重点内容和所述非重点内容进行播放，其中，所述非重点内容的播放速度大于所述重点内容的播放速度。
根据本申请一优选实施例，所述机器模型根据所构建的训练样本训练得到，所述训练样本中包括：样本视频，以及观看所述样本视频的用户针对所述样本视频发生交互行为的时间。
根据本申请一优选实施例，所述标记信息包括：
在所述重点内容的开始时间及结束时间位置设置的标记信息；
或者，在所述非重点内容的开始时间及结束时间位置设置的标记信息。
根据本申请一优选实施例，所述标记信息进一步包括：所述视频的创作者在制作所述视频时加入到所述视频中的标记信息。
根据本申请一优选实施例，所述按照不同的播放速度对所述重点内容和所述非重点内容进行播放包括：
按照获取到的所述视频的创作者在制作所述视频时针对所述重点内容和所述非重点内容设置的不同播放速度，对所述重点内容和所述非重点内容进行播放；
或者，按照观看所述视频的用户预先针对所述重点内容和所述非重点内容设置的不同播放速度，对所述重点内容和所述非重点内容进行播放。
一种视频处理装置，包括：视频处理单元；
所述视频处理单元，用于针对任一视频，利用预先训练得到的机器模型对所述视频中的重点内容和非重点内容进行识别，并根据识别结果加入标记信息；将所述视频发送给请求播放的终端设备，以便所述终端设备在对所述视频进行播放时，根据所述标记信息区分出所述视频中的重点内容和非重点内容，并按照不同的播放速度对所述重点内容和所述非重点内容进行播放，其中，所述非重点内容的播放速度大于所述重点内容的播放速度。
根据本申请一优选实施例，所述装置中进一步包括：预处理单元，用于获取训练样本，所述训练样本中包括：样本视频，以及观看所述样本视频的用户针对所述样本视频发生交互行为的时间，根据所述训练样本训练得到所述机器模型。
根据本申请一优选实施例，所述视频处理单元进一步用于，在利用所述机器模型对所述视频中的重点内容和非重点内容进行识别之前，确定所述视频的创作者在制作所述视频时是否加入了所述标记信息，若否，则利用所述机器模型对所述视频中的重点内容和非重点内容进行识别。
根据本申请一优选实施例，所述视频处理单元进一步用于，将所述视频的创作者在制作所述视频时针对所述重点内容和所述非重点内容设置的不同播放速度提供给所述终端设备，以便所述终端设备按照设置的不同播放速度对所述重点内容和所述非重点内容进行播放。
根据本申请一优选实施例，所述预处理单元进一步用于，针对不同类型的视频，训练得到一个共同的机器模型，或者，针对不同类型的视频，分别训练得到所述不同类型对应的机器模型。
一种视频播放装置，包括：内容区分单元以及内容播放单元；
所述内容区分单元，用于在对任一视频进行播放时，根据所述视频 中设置的标记信息，区分出所述视频中的重点内容和非重点内容；其中，所述标记信息包括：根据预先训练得到的机器模型对所述视频中的重点内容和非重点内容进行识别后加入的标记信息；
所述内容播放单元，用于按照不同的播放速度对所述重点内容和所述非重点内容进行播放，其中，所述非重点内容的播放速度大于所述重点内容的播放速度。
根据本申请一优选实施例，所述机器模型根据所构建的训练样本训练得到，所述训练样本中包括：样本视频，以及观看所述样本视频的用户针对所述样本视频发生交互行为的时间。
根据本申请一优选实施例，所述标记信息包括：
在所述重点内容的开始时间及结束时间位置设置的标记信息；
或者，在所述非重点内容的开始时间及结束时间位置设置的标记信息。
根据本申请一优选实施例，所述标记信息进一步包括：所述视频的创作者在制作所述视频时加入到所述视频中的标记信息。
根据本申请一优选实施例，所述内容播放单元按照获取到的所述视频的创作者在制作所述视频时针对所述重点内容和所述非重点内容设置的不同播放速度，对所述重点内容和所述非重点内容进行播放；
或者，所述内容播放单元按照观看所述视频的用户预先针对所述重点内容和所述非重点内容设置的不同播放速度，对所述重点内容和所述非重点内容进行播放。
一种电子设备，包括：
至少一个处理器；以及
与所述至少一个处理器通信连接的存储器；其中，
所述存储器存储有可被所述至少一个处理器执行的指令，所述指令被所述至少一个处理器执行，以使所述至少一个处理器能够执行如以上所述的方法。
一种存储有计算机指令的非瞬时计算机可读存储介质，所述计算机指令用于使所述计算机执行如以上所述的方法。
上述申请中的一个实施例具有如下优点或有益效果：可根据所设置的标记信息，自动地区分出视频中的重点内容和非重点内容，并按照不 同的播放速度对重点内容和非重点内容进行播放，从而无需用户对进度条进行操作，即简化了用户操作，而且不会漏掉重点内容，通过自动调节视频播放速度，帮助用户快速消费提取重点内容，降低了用户获取重点内容信息的时间成本等；无需对视频进行较大改动，只需加入标记信息即可，既保留了视频制作时的原始内容，又不会影响观看体验；可采用人工标记方式，也可采用机器标记方式，另外可由视频的创作者来设置播放速度，也可由观看视频的用户来设置播放速度，均不局限于某一特定方式，从实现上来说非常灵活方便；上述可选方式所具有的其它效果将在下文中结合具体实施例加以说明。
附图说明
附图用于更好地理解本方案，不构成对本申请的限定。其中：
图1为本申请所述视频播放方法第一实施例的流程图；
图2为本申请所述视频播放方法第二实施例的流程图；
图3为本申请所述视频播放方法的整体实现过程示意图；
图4为本申请所述自动调节视频播放速度前后的视频播放时长对比示意图；
图5为本申请所述视频处理装置实施例500的组成结构示意图；
图6为本申请所述视频播放装置实施例600的组成结构示意图；
图7为根据本申请实施例所述方法的电子设备的框图。
具体实施方式
以下结合附图对本申请的示范性实施例做出说明，其中包括本申请实施例的各种细节以助于理解，应当将它们认为仅仅是示范性的。因此，本领域普通技术人员应当认识到，可以对这里描述的实施例做出各种改变和修改，而不会背离本申请的范围和精神。同样，为了清楚和简明，以下的描述中省略了对公知功能和结构的描述。
另外，应理解，本文中术语“和/或”，仅仅是一种描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况。另外，本文中字符“/”，一般表示前后关联对象是一种“或”的关系。
图1为本申请所述视频播放方法第一实施例的流程图。如图1所示，包括以下具体实现方式。
在101中，针对任一视频，利用预先训练得到的机器模型对视频中的重点内容和非重点内容进行识别，并根据识别结果加入标记信息。
在102中，将视频发送给请求播放的终端设备，以便终端设备在对视频进行播放时，根据标记信息区分出视频中的重点内容和非重点内容，并按照不同的播放速度对重点内容和非重点内容进行播放，其中，非重点内容的播放速度大于重点内容的播放速度。
为实现本实施例所述方案，可预先训练得到机器模型，利用机器模型对视频中的重点内容和非重点内容进行识别后加入标记信息。机器模型可根据所构建的训练样本训练得到。其中，每条训练样本中可包括：样本视频，以及观看样本视频的用户针对样本视频发生交互行为的时间。
比如，对于短视频，可记录用户观看过程中发生点赞、调起评论窗、发布评论、进行分享等交互行为的时间。再比如，对于直播回放，可记录观看直播的用户发生送礼、实时互动等交互行为的时间。再比如，对于长视频，可记录用户观看过程中发生发弹幕等交互行为的时间。发生上述交互行为时，对应的视频内容通常为重点内容。
如何基于上述训练样本训练得到机器模型为现有技术，训练的过程可理解为让机器模型学习到重点内容的特征，以便根据特征区分重点内容和非重点内容。
在实际应用中，可针对不同类型的视频，如短视频、长视频、直播回放等，训练一个共同的机器模型，相应地，训练时所用到的训练样本中可包含各不同类型的样本视频。或者，也可针对不同类型的视频，分别训练一个对应的机器模型，相应地，针对任一类型，训练时所用到的训练样本中可仅包含该类型的样本视频。对于后一种情况，各机器模型的模型结构通常是一样的。
另外，标记信息也可为视频的创作者在制作视频时加入到视频中的，相应地，在利用机器模型对视频中的重点内容和非重点内容进行识别之前，还可先确定视频的创作者在制作视频时是否加入了标记信息，若否，则可利用机器模型对视频中的重点内容和非重点内容进行识别，若是，则可无需重复加入。即可采用人工标记方式，也可采用机器标记方式。
对于视频的创作者来说，哪些视频内容为重点内容、哪些视频内容为非重点内容是已知的，那么在制作视频时，可同时加入标记信息。
另外，视频的创作者在制作视频时还可针对重点内容和非重点内容设置不同的播放速度。设置的不同播放速度可在请求播放视频时，通过某种方式下发，具体方式不限。相应地，在视频播放过程中，则可按照设置的不同的播放速度对重点内容和非重点内容进行播放。或者，也可按照观看视频的用户预先针对重点内容和非重点内容设置的不同播放速度，对重点内容和非重点内容进行播放等。
图2为本申请所述视频播放方法第二实施例的流程图。如图2所示，包括以下具体实现方式。
在201中，在对任一视频进行播放时，根据视频中设置的标记信息，区分出视频中的重点内容和非重点内容；其中，所述标记信息包括：根据预先训练得到的机器模型对视频中的重点内容和非重点内容进行识别后加入的标记信息。
在202中，按照不同的播放速度对重点内容和非重点内容进行播放，其中，非重点内容的播放速度大于重点内容的播放速度。
本实施例中，可自动调节视频播放速度，简称“看重点”。
针对任一视频，可设置标记信息，以便根据标记信息区分出视频中的重点内容和非重点内容。
比如，可以在重点内容的开始时间及结束时间位置设置标记信息，或者，在非重点内容的开始时间及结束时间位置设置标记信息。所述标记信息的具体形式不限，可根据实际需要而定，如可为插入的一个特定标识，仅用于区分重点内容和非重点内容，不会改变视频播放内容等。
对于一个视频来说，其中可能仅包含一段重点内容，也可能包含多段重点内容。若对重点内容的开始时间和结束时间进行标记，那么从开始时间到结束时间的时间段对应的视频内容即为重点内容，其余视频内容即为非重点内容。若对非重点内容的开始时间和结束时间进行标记，那么从开始时间到结束时间的时间段对应的视频内容即为非重点内容，其余视频内容即为重点内容。
比如，某一视频的总时长为8分钟，从3分钟到5分钟的时间段对应的视频内容为重点内容，那么可分别在3分钟和5分钟位置设置标记 信息。
另外，所述标记信息可为根据预先训练得到的机器模型对视频中的重点内容和非重点内容进行识别后加入的标记信息。或者，也可为视频的创作者在制作视频时加入到视频中的标记信息。即可采用人工标记方式，也可采用机器标记方式。
对于视频的创作者来说，哪些视频内容为重点内容、哪些视频内容为非重点内容是已知的，那么在制作视频时，可同时加入标记信息。
或者，可预先训练得到机器模型，利用机器模型对视频中的重点内容和非重点内容进行识别后加入标记信息。机器模型可根据所构建的训练样本训练得到。其中，每条训练样本中可包括：样本视频，以及观看样本视频的用户针对所述样本视频发生交互行为的时间。
比如，对于短视频，可记录用户观看过程中发生点赞、调起评论窗、发布评论、进行分享等交互行为的时间。再比如，对于直播回放，可记录观看直播的用户发生送礼、实时互动等交互行为的时间。再比如，对于长视频，可记录用户观看过程中发生发弹幕等交互行为的时间。发生上述交互行为时，对应的视频内容通常为重点内容。
如何基于上述训练样本训练得到机器模型为现有技术，训练的过程可理解为让机器模型学习到重点内容的特征，以便根据特征区分重点内容和非重点内容。
在实际应用中，可针对不同类型的视频，如短视频、长视频、直播回放等，共同训练一个机器模型，相应地，训练时所用到的训练样本中可包含各不同类型的样本视频。或者，也可针对不同类型的视频，分别训练一个对应的机器模型，相应地，针对任一类型，训练时所用到的训练样本中可仅包含该类型的样本视频。对于后一种情况，各机器模型的模型结构通常是一样的。
对于视频中的重点内容和非重点内容，可分别按照不同的播放速度进行播放，其中，非重点内容的播放速度大于重点内容的播放速度。比如，重点内容可按照正常速度即1倍速进行播放，非重点内容可按照1.5倍速或2倍速进行播放。
用户在观看视频之前，还可先进行选择，如选择是否“看重点”，如可在视频界面某一位置显示一个按钮，用户可选择打开或关闭，若打 开，则表示“看重点”，相应地，则可按照不同的播放速度对重点内容和非重点内容进行播放，若关闭，则表示不需要“看重点”，相应地，可按照传统的播放方式对整个视频进行播放，即按照1倍速对整个视频进行播放。
另外，在按照不同的播放速度对重点内容和非重点内容进行播放时，可按照获取到的视频的创作者在制作视频时针对重点内容和非重点内容设置的不同播放速度，对重点内容和非重点内容进行播放。设置的不同播放速度可在用户请求播放视频时，通过某种方式下发，具体方式不限，相应地，在视频播放过程中，则可按照设置的不同的播放速度对重点内容和非重点内容进行播放。或者，也可按照观看视频的用户预先针对重点内容和非重点内容设置的不同播放速度，对重点内容和非重点内容进行播放。
基于上述介绍，图3为本申请所述视频播放方法的整体实现过程示意图。如图3所示，假设采用人工标记方式，视频的创作者在制作视频时，可同时设置标记信息，如在重点内容的开始时间及结束时间位置设置标记信息，在对视频进行播放时，可根据所设置的标记信息，区分出视频中的重点内容和非重点内容，并可按照观看视频的用户预先设置的不同播放速度，对重点内容按照1倍速进行播放，对非重点内容按照1.5倍速进行播放，相应地，用户则可看到自动调节视频播放速度后的视频内容。
图4为本申请所述自动调节视频播放速度前后的视频播放时长对比示意图。如图4所示，假设某一视频的总时长为8分钟，从3分钟到5分钟的时间段对应的视频内容为重点内容，那么可在0分钟到3分钟的时间段以及5分钟到8分钟的时间段，分别按照1.5倍速对非重点内容进行播放(如果需要，也可两段非重点内容分别按照不同的播放速度进行播放)，在3分钟到5分钟的时间段，按照1倍速对重点内容进行播放，这样，原本需要播放8分钟的视频将只需播放6分钟。
需要说明的是，对于前述的各方法实施例，为了简单描述，将其都表述为一系列的动作组合，但是本领域技术人员应该知悉，本申请并不受所描述的动作顺序的限制，因为依据本申请，某些步骤可以采用其它顺序或者同时进行。其次，本领域技术人员也应该知悉，说明书中所描 述的实施例均属于优选实施例，所涉及的动作和模块并不一定是本申请所必须的。
总之，采用本申请方法实施例所述方案，可根据所设置的标记信息，自动地区分出视频中的重点内容和非重点内容，并按照不同的播放速度对重点内容和非重点内容进行播放，从而无需用户对进度条进行操作，即简化了用户操作，而且不会漏掉重点内容，通过自动调节视频播放速度，帮助用户快速消费提取重点内容，降低了用户获取重点内容信息的时间成本等；无需对视频进行较大改动，只需加入标记信息即可，既保留了视频制作时的原始内容，又不会影响观看体验；可采用人工标记方式，也可采用机器标记方式，另外可由视频的创作者来设置播放速度，也可由观看视频的用户来设置播放速度，均不局限于某一特定方式，从实现上来说非常灵活方便。
以上是关于方法实施例的介绍，以下通过装置实施例，对本申请所述方案进行进一步说明。
图5为本申请所述视频处理装置实施例500的组成结构示意图。如图5所示，包括：视频处理单元502，此外还可进一步包括：预处理单元501。
预处理单元501，用于获取训练样本，训练样本中包括：样本视频，以及观看样本视频的用户针对样本视频发生交互行为的时间；根据训练样本训练得到机器模型。
视频处理单元502，用于针对任一视频，利用机器模型对视频中的重点内容和非重点内容进行识别，并根据识别结果加入标记信息；将视频发送给请求播放的终端设备，以便终端设备在对视频进行播放时，根据标记信息区分出视频中的重点内容和非重点内容，并按照不同的播放速度对重点内容和非重点内容进行播放，其中，非重点内容的播放速度大于重点内容的播放速度。
视频处理单元502还可在利用机器模型对视频中的重点内容和非重点内容进行识别之前，确定视频的创作者在制作视频时是否加入了标记信息，若否，则可利用机器模型对视频中的重点内容和非重点内容进行识别。
另外，视频处理单元502还可将视频的创作者在制作视频时针对重 点内容和非重点内容设置的不同播放速度提供给终端设备，以便终端设备按照设置的不同播放速度对重点内容和非重点内容进行播放。
再有，预处理单元501可针对不同类型的视频，训练得到一个共同的机器模型，或者，针对不同类型的视频，分别训练得到不同类型对应的机器模型。
图6为本申请所述视频播放装置实施例600的组成结构示意图。如图6所示，包括：内容区分单元601以及内容播放单元602。
内容区分单元601，用于在对任一视频进行播放时，根据视频中设置的标记信息，区分出视频中的重点内容和非重点内容；其中，标记信息包括：根据预先训练得到的机器模型对视频中的重点内容和非重点内容进行识别后加入的标记信息。
内容播放单元602，用于按照不同的播放速度对重点内容和非重点内容进行播放，其中，非重点内容的播放速度大于重点内容的播放速度。
比如，可以在重点内容的开始时间及结束时间位置设置标记信息，或者，在非重点内容的开始时间及结束时间位置设置标记信息。所述标记信息的具体形式不限，可根据实际需要而定。
对于一个视频来说，其中可能仅包含一段重点内容，也可能包含多段重点内容。若对重点内容的开始时间和结束时间进行标记，那么从开始时间到结束时间的时间段对应的视频内容即为重点内容，其余视频内容即为非重点内容，若对非重点内容的开始时间和结束时间进行标记，那么从开始时间到结束时间的时间段对应的视频内容即为非重点内容，其余视频内容即为重点内容。
另外，如前所述，所述标记信息可为根据预先训练得到的机器模型对视频中的重点内容和非重点内容进行识别后加入的标记信息，此外，还可为视频的创作者在制作视频时加入到视频中的标记信息。即可采用人工标记方式，也可采用机器标记方式。
机器模型可根据所构建的训练样本训练得到。其中，每条训练样本中可包括：样本视频，以及观看样本视频的用户针对所述样本视频发生交互行为的时间。
另外，在实际应用中，可针对不同类型的视频，如短视频、长视频、直播回放等，共同训练一个机器模型，相应地，训练时所用到的训练样 本中可包含各不同类型的样本视频。或者，也可针对不同类型的视频，分别训练一个对应的机器模型，相应地，针对任一类型，训练时所用到的训练样本中可仅包含该类型的样本视频。对于后一种情况，各机器模型的模型结构通常是一样的。
对于视频中的重点内容和非重点内容，内容播放单元602可分别按照不同的播放速度进行播放，其中，非重点内容的播放速度大于重点内容的播放速度。比如，重点内容可按照正常速度即1倍速进行播放，非重点内容可按照1.5倍速或2倍速进行播放。
具体地，内容播放单元602可按照获取到的视频的创作者在制作视频时针对重点内容和非重点内容设置的不同播放速度，对重点内容和非重点内容进行播放。或者，内容播放单元602也可按照观看视频的用户预先针对重点内容和非重点内容设置的不同播放速度，对重点内容和非重点内容进行播放。
图5和图6所示装置实施例的具体工作流程请参照前述方法实施例中的相关说明，不再赘述。
总之，采用本申请装置实施例所述方案，可根据所设置的标记信息，自动地区分出视频中的重点内容和非重点内容，并按照不同的播放速度对重点内容和非重点内容进行播放，从而无需用户对进度条进行操作，即简化了用户操作，而且不会漏掉重点内容，通过自动调节视频播放速度，帮助用户快速消费提取重点内容，降低了用户获取重点内容信息的时间成本等；无需对视频进行较大改动，只需加入标记信息即可，既保留了视频制作时的原始内容，又不会影响观看体验；可采用人工标记方式，也可采用机器标记方式，另外可由视频的创作者来设置播放速度，也可由观看视频的用户来设置播放速度，均不局限于某一特定方式，从实现上来说非常灵活方便。
根据本申请的实施例，本申请还提供了一种电子设备和一种可读存储介质。
如图7所示，是根据本申请实施例所述方法的电子设备的框图。电子设备旨在表示各种形式的数字计算机，诸如，膝上型计算机、台式计算机、工作台、个人数字助理、服务器、刀片式服务器、大型计算机、和其它适合的计算机。电子设备还可以表示各种形式的移动装置，诸如， 个人数字处理、蜂窝电话、智能电话、可穿戴设备和其它类似的计算装置。本文所示的部件、它们的连接和关系、以及它们的功能仅仅作为示例，并且不意在限制本文中描述的和/或者要求的本申请的实现。
如图7所示，该电子设备包括：一个或多个处理器Y01、存储器Y02，以及用于连接各部件的接口，包括高速接口和低速接口。各个部件利用不同的总线互相连接，并且可以被安装在公共主板上或者根据需要以其它方式安装。处理器可以对在电子设备内执行的指令进行处理，包括存储在存储器中或者存储器上以在外部输入/输出装置(诸如，耦合至接口的显示设备)上显示图形用户界面的图形信息的指令。在其它实施方式中，若需要，可以将多个处理器和/或多条总线与多个存储器和多个存储器一起使用。同样，可以连接多个电子设备，各个设备提供部分必要的操作(例如，作为服务器阵列、一组刀片式服务器、或者多处理器系统)。图7中以一个处理器Y01为例。
存储器Y02即为本申请所提供的非瞬时计算机可读存储介质。其中，所述存储器存储有可由至少一个处理器执行的指令，以使所述至少一个处理器执行本申请所提供的方法。本申请的非瞬时计算机可读存储介质存储计算机指令，该计算机指令用于使计算机执行本申请所提供的方法。
存储器Y02作为一种非瞬时计算机可读存储介质，可用于存储非瞬时软件程序、非瞬时计算机可执行程序以及模块，如本申请实施例中的方法对应的程序指令/模块。处理器Y01通过运行存储在存储器Y02中的非瞬时软件程序、指令以及模块，从而执行服务器的各种功能应用以及数据处理，即实现上述方法实施例中的方法。
存储器Y02可以包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需要的应用程序；存储数据区可存储根据电子设备的使用所创建的数据等。此外，存储器Y02可以包括高速随机存取存储器，还可以包括非瞬时存储器，例如至少一个磁盘存储器件、闪存器件、或其他非瞬时固态存储器件。在一些实施例中，存储器Y02可选包括相对于处理器Y01远程设置的存储器，这些远程存储器可以通过网络连接至电子设备。上述网络的实例包括但不限于互联网、企业内部网、区块链网络、局域网、移动通信网及其组合。
电子设备还可以包括：输入装置Y03和输出装置Y04。处理器Y01、 存储器Y02、输入装置Y03和输出装置Y04可以通过总线或者其他方式连接，图7中以通过总线连接为例。
输入装置Y03可接收输入的数字或字符信息，以及产生与电子设备的用户设置以及功能控制有关的键信号输入，例如触摸屏、小键盘、鼠标、轨迹板、触摸板、指示杆、一个或者多个鼠标按钮、轨迹球、操纵杆等输入装置。输出装置Y04可以包括显示设备、辅助照明装置和触觉反馈装置(例如，振动电机)等。该显示设备可以包括但不限于，液晶显示器、发光二极管显示器和等离子体显示器。在一些实施方式中，显示设备可以是触摸屏。
此处描述的系统和技术的各种实施方式可以在数字电子电路系统、集成电路系统、专用集成电路、计算机硬件、固件、软件、和/或它们的组合中实现。这些各种实施方式可以包括：实施在一个或者多个计算机程序中，该一个或者多个计算机程序可在包括至少一个可编程处理器的可编程系统上执行和/或解释，该可编程处理器可以是专用或者通用可编程处理器，可以从存储系统、至少一个输入装置、和至少一个输出装置接收数据和指令，并且将数据和指令传输至该存储系统、该至少一个输入装置、和该至少一个输出装置。
这些计算程序(也称作程序、软件、软件应用、或者代码)包括可编程处理器的机器指令，并且可以利用高级过程和/或面向对象的编程语言、和/或汇编/机器语言来实施这些计算程序。如本文使用的，术语“机器可读介质”和“计算机可读介质”指的是用于将机器指令和/或数据提供给可编程处理器的任何计算机程序产品、设备、和/或装置(例如，磁盘、光盘、存储器、可编程逻辑装置)，包括，接收作为机器可读信号的机器指令的机器可读介质。术语“机器可读信号”指的是用于将机器指令和/或数据提供给可编程处理器的任何信号。
为了提供与用户的交互，可以在计算机上实施此处描述的系统和技术，该计算机具有：用于向用户显示信息的显示装置(例如，阴极射线管或者液晶显示器监视器)；以及键盘和指向装置(例如，鼠标或者轨迹球)，用户可以通过该键盘和该指向装置来将输入提供给计算机。其它种类的装置还可以用于提供与用户的交互；例如，提供给用户的反馈可以是任何形式的传感反馈(例如，视觉反馈、听觉反馈、或者触觉反 馈)；并且可以用任何形式(包括声输入、语音输入或者、触觉输入)来接收来自用户的输入。
可以将此处描述的系统和技术实施在包括后台部件的计算系统(例如，作为数据服务器)、或者包括中间件部件的计算系统(例如，应用服务器)、或者包括前端部件的计算系统(例如，具有图形用户界面或者网络浏览器的用户计算机，用户可以通过该图形用户界面或者该网络浏览器来与此处描述的系统和技术的实施方式交互)、或者包括这种后台部件、中间件部件、或者前端部件的任何组合的计算系统中。可以通过任何形式或者介质的数字数据通信(例如，通信网络)来将系统的部件相互连接。通信网络的示例包括：局域网、广域网、区块链网络和互联网。
计算机系统可以包括客户端和服务器。客户端和服务器一般远离彼此并且通常通过通信网络进行交互。通过在相应的计算机上运行并且彼此具有客户端-服务器关系的计算机程序来产生客户端和服务器的关系。
应该理解，可以使用上面所示的各种形式的流程，重新排序、增加或删除步骤。例如，本申请中记载的各步骤可以并行地执行也可以顺序地执行也可以不同的次序执行，只要能够实现本申请公开的技术方案所期望的结果，本文在此不进行限制。
上述具体实施方式，并不构成对本申请保护范围的限制。本领域技术人员应该明白的是，根据设计要求和其他因素，可以进行各种修改、组合、子组合和替代。任何在本申请的精神和原则之内所作的修改、等同替换和改进等，均应包含在本申请保护范围之内。

Claims (22)

  1. 一种视频播放方法，其特征在于，包括：
    针对任一视频，利用预先训练得到的机器模型对所述视频中的重点内容和非重点内容进行识别，并根据识别结果加入标记信息；
    将所述视频发送给请求播放的终端设备，以便所述终端设备在对所述视频进行播放时，根据所述标记信息区分出所述视频中的重点内容和非重点内容，并按照不同的播放速度对所述重点内容和所述非重点内容进行播放，其中，所述非重点内容的播放速度大于所述重点内容的播放速度。
  2. 根据权利要求1所述的方法，其特征在于，
    该方法进一步包括：获取训练样本，所述训练样本中包括：样本视频，以及观看所述样本视频的用户针对所述样本视频发生交互行为的时间；根据所述训练样本训练得到所述机器模型。
  3. 根据权利要求1所述的方法，其特征在于，
    利用所述机器模型对所述视频中的重点内容和非重点内容进行识别之前，进一步包括：确定所述视频的创作者在制作所述视频时是否加入了所述标记信息，若否，则利用所述机器模型对所述视频中的重点内容和非重点内容进行识别。
  4. 根据权利要求1所述的方法，其特征在于，
    该方法进一步包括：将所述视频的创作者在制作所述视频时针对所述重点内容和所述非重点内容设置的不同播放速度提供给所述终端设备，以便所述终端设备按照设置的不同播放速度对所述重点内容和所述非重点内容进行播放。
  5. 根据权利要求2所述的方法，其特征在于，
    所述根据所述训练样本训练得到所述机器模型包括：
    针对不同类型的视频，训练得到一个共同的机器模型；
    或者，针对不同类型的视频，分别训练得到所述不同类型对应的机器模型。
  6. 一种视频播放方法，其特征在于，包括：
    在对任一视频进行播放时，根据所述视频中设置的标记信息，区分 出所述视频中的重点内容和非重点内容；其中，所述标记信息包括：根据预先训练得到的机器模型对所述视频中的重点内容和非重点内容进行识别后加入的标记信息；
    按照不同的播放速度对所述重点内容和所述非重点内容进行播放，其中，所述非重点内容的播放速度大于所述重点内容的播放速度。
  7. 根据权利要求6所述的方法，其特征在于，
    所述机器模型根据所构建的训练样本训练得到，所述训练样本中包括：样本视频，以及观看所述样本视频的用户针对所述样本视频发生交互行为的时间。
  8. 根据权利要求6所述的方法，其特征在于，
    所述标记信息包括：
    在所述重点内容的开始时间及结束时间位置设置的标记信息；
    或者，在所述非重点内容的开始时间及结束时间位置设置的标记信息。
  9. 根据权利要求6所述的方法，其特征在于，
    所述标记信息进一步包括：所述视频的创作者在制作所述视频时加入到所述视频中的标记信息。
  10. 根据权利要求6所述的方法，其特征在于，
    所述按照不同的播放速度对所述重点内容和所述非重点内容进行播放包括：
    按照获取到的所述视频的创作者在制作所述视频时针对所述重点内容和所述非重点内容设置的不同播放速度，对所述重点内容和所述非重点内容进行播放；
    或者，按照观看所述视频的用户预先针对所述重点内容和所述非重点内容设置的不同播放速度，对所述重点内容和所述非重点内容进行播放。
  11. 一种视频处理装置，其特征在于，包括：视频处理单元；
    所述视频处理单元，用于针对任一视频，利用预先训练得到的机器模型对所述视频中的重点内容和非重点内容进行识别，并根据识别结果加入标记信息；将所述视频发送给请求播放的终端设备，以便所述终端设备在对所述视频进行播放时，根据所述标记信息区分出所述视频中的 重点内容和非重点内容，并按照不同的播放速度对所述重点内容和所述非重点内容进行播放，其中，所述非重点内容的播放速度大于所述重点内容的播放速度。
  12. 根据权利要求11所述的装置，其特征在于，
    所述装置中进一步包括：预处理单元，用于获取训练样本，所述训练样本中包括：样本视频，以及观看所述样本视频的用户针对所述样本视频发生交互行为的时间，根据所述训练样本训练得到所述机器模型。
  13. 根据权利要求11所述的装置，其特征在于，
    所述视频处理单元进一步用于，在利用所述机器模型对所述视频中的重点内容和非重点内容进行识别之前，确定所述视频的创作者在制作所述视频时是否加入了所述标记信息，若否，则利用所述机器模型对所述视频中的重点内容和非重点内容进行识别。
  14. 根据权利要求11所述的装置，其特征在于，
    所述视频处理单元进一步用于，将所述视频的创作者在制作所述视频时针对所述重点内容和所述非重点内容设置的不同播放速度提供给所述终端设备，以便所述终端设备按照设置的不同播放速度对所述重点内容和所述非重点内容进行播放。
  15. 根据权利要求12所述的装置，其特征在于，
    所述预处理单元进一步用于，针对不同类型的视频，训练得到一个共同的机器模型，或者，针对不同类型的视频，分别训练得到所述不同类型对应的机器模型。
  16. 一种视频播放装置，其特征在于，包括：内容区分单元以及内容播放单元；
    所述内容区分单元，用于在对任一视频进行播放时，根据所述视频中设置的标记信息，区分出所述视频中的重点内容和非重点内容；其中，所述标记信息包括：根据预先训练得到的机器模型对所述视频中的重点内容和非重点内容进行识别后加入的标记信息；
    所述内容播放单元，用于按照不同的播放速度对所述重点内容和所述非重点内容进行播放，其中，所述非重点内容的播放速度大于所述重点内容的播放速度。
  17. 根据权利要求16所述的装置，其特征在于，
    所述机器模型根据所构建的训练样本训练得到，所述训练样本中包括：样本视频，以及观看所述样本视频的用户针对所述样本视频发生交互行为的时间。
  18. 根据权利要求16所述的装置，其特征在于，
    所述标记信息包括：
    在所述重点内容的开始时间及结束时间位置设置的标记信息；
    或者，在所述非重点内容的开始时间及结束时间位置设置的标记信息。
  19. 根据权利要求16所述的装置，其特征在于，
    所述标记信息进一步包括：所述视频的创作者在制作所述视频时加入到所述视频中的标记信息。
  20. 根据权利要求16所述的装置，其特征在于，
    所述内容播放单元按照获取到的所述视频的创作者在制作所述视频时针对所述重点内容和所述非重点内容设置的不同播放速度，对所述重点内容和所述非重点内容进行播放；
    或者，所述内容播放单元按照观看所述视频的用户预先针对所述重点内容和所述非重点内容设置的不同播放速度，对所述重点内容和所述非重点内容进行播放。
  21. 一种电子设备，其特征在于，包括：
    至少一个处理器；以及
    与所述至少一个处理器通信连接的存储器；其中，
    所述存储器存储有可被所述至少一个处理器执行的指令，所述指令被所述至少一个处理器执行，以使所述至少一个处理器能够执行权利要求1-10中任一项所述的方法。
  22. 一种存储有计算机指令的非瞬时计算机可读存储介质，其特征在于，所述计算机指令用于使所述计算机执行权利要求1-10中任一项所述的方法。
PCT/CN2020/133006 2020-02-28 2020-12-01 视频播放方法、装置、电子设备及存储介质 WO2021169458A1 (zh)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114007122A (zh) * 2021-10-13 2022-02-01 深圳Tcl新技术有限公司 一种视频播放方法、装置、电子设备和存储介质
CN115174969A (zh) * 2022-07-01 2022-10-11 抖音视界(北京)有限公司 视频的推送方法、装置和存储介质

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111327958B (zh) * 2020-02-28 2022-03-25 北京百度网讯科技有限公司 视频播放方法、装置、电子设备及存储介质
CN112532906A (zh) * 2020-11-16 2021-03-19 深圳市天视通技术有限公司 一种录像回放方法、装置、电子设备及存储介质
CN112822546A (zh) * 2020-12-30 2021-05-18 珠海极海半导体有限公司 基于内容感知的倍速播放方法、系统、存储介质和设备
CN112866809B (zh) * 2020-12-31 2023-06-23 百度在线网络技术（北京）有限公司 视频处理方法、装置、电子设备及可读存储介质

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007132566A1 (ja) * 2006-05-15 2007-11-22 Nec Corporation 映像再生装置、映像再生方法、および映像再生用プログラム
US20100189412A1 (en) * 2007-06-29 2010-07-29 Chiew Mun Chang Play Back Device with Adaptive Trick Play Function
CN105100692A (zh) * 2014-05-14 2015-11-25 杭州海康威视系统技术有限公司 视频播放方法及其装置
CN107193841A (zh) * 2016-03-15 2017-09-22 北京三星通信技术研究有限公司 媒体文件加速播放、传输及存储的方法和装置
CN109963184A (zh) * 2017-12-14 2019-07-02 阿里巴巴集团控股有限公司 一种音视频网络播放的方法、装置以及电子设备
CN110460874A (zh) * 2019-08-09 2019-11-15 腾讯科技（深圳）有限公司 视频播放参数生成方法、装置、存储介质及电子设备
CN111327958A (zh) * 2020-02-28 2020-06-23 北京百度网讯科技有限公司 视频播放方法、装置、电子设备及存储介质

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9066131B1 (en) * 2003-04-30 2015-06-23 The Directv Group, Inc. Advertising spots for fast-forward play
CN105531737B (zh) * 2013-07-26 2019-11-26 伟播株式会社 用于提供、编辑并播放视频内容的设备及其方法
CN104270608A (zh) * 2014-09-28 2015-01-07 武汉烽火众智数字技术有限责任公司 一种智能视频播放器及其播放方法
CN107888948B (zh) * 2017-11-07 2020-07-03 北京小米移动软件有限公司 确定视频文件播放速度的方法及装置、电子设备、计算机可读存储介质
CN110771175A (zh) * 2018-05-30 2020-02-07 深圳市大疆创新科技有限公司 视频播放速度的控制方法、装置及运动相机
CN110381357A (zh) * 2019-08-15 2019-10-25 杭州鸿晶自动化科技有限公司 一种行车记录视频的处理方法
CN110769284A (zh) * 2019-11-19 2020-02-07 深圳市迅雷网络技术有限公司 视频精彩内容缓存方法以及相关装置

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007132566A1 (ja) * 2006-05-15 2007-11-22 Nec Corporation 映像再生装置、映像再生方法、および映像再生用プログラム
US20100189412A1 (en) * 2007-06-29 2010-07-29 Chiew Mun Chang Play Back Device with Adaptive Trick Play Function
CN105100692A (zh) * 2014-05-14 2015-11-25 杭州海康威视系统技术有限公司 视频播放方法及其装置
CN107193841A (zh) * 2016-03-15 2017-09-22 北京三星通信技术研究有限公司 媒体文件加速播放、传输及存储的方法和装置
CN109963184A (zh) * 2017-12-14 2019-07-02 阿里巴巴集团控股有限公司 一种音视频网络播放的方法、装置以及电子设备
CN110460874A (zh) * 2019-08-09 2019-11-15 腾讯科技（深圳）有限公司 视频播放参数生成方法、装置、存储介质及电子设备
CN111327958A (zh) * 2020-02-28 2020-06-23 北京百度网讯科技有限公司 视频播放方法、装置、电子设备及存储介质

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP3896987A4 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114007122A (zh) * 2021-10-13 2022-02-01 深圳Tcl新技术有限公司 一种视频播放方法、装置、电子设备和存储介质
CN114007122B (zh) * 2021-10-13 2024-03-15 深圳Tcl新技术有限公司 一种视频播放方法、装置、电子设备和存储介质
CN115174969A (zh) * 2022-07-01 2022-10-11 抖音视界(北京)有限公司 视频的推送方法、装置和存储介质

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