CN109151500A - A kind of main broadcaster's recommended method, system and computer equipment for net cast - Google Patents
A kind of main broadcaster's recommended method, system and computer equipment for net cast Download PDFInfo
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- CN109151500A CN109151500A CN201811147393.3A CN201811147393A CN109151500A CN 109151500 A CN109151500 A CN 109151500A CN 201811147393 A CN201811147393 A CN 201811147393A CN 109151500 A CN109151500 A CN 109151500A
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Classifications
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs
- H04N21/23418—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics
-
- 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, rendering scenes according to MPEG-4 scene graphs
- H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 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
- H04N21/454—Content or additional data filtering, e.g. blocking advertisements
-
- 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
- H04N21/4667—Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
-
- 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
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. 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
- H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
- H04N21/84—Generation or processing of descriptive data, e.g. content descriptors
Abstract
The present invention provides a kind of main broadcaster's recommended methods for net cast, comprising: S1: the key frame in interception live video, and carries out image characteristics extraction；S2: carrying out picture material semantic understanding according to the key frame of interception, classify to video content and live content labeling is obtained live content label；S3: live video content is filtered to be managed to live video content style according to the live content label；S4: filtered live video is recommended into user, is watched after user selects.The present invention is classified by the live content to main broadcaster, effectively to be supervised to live content, identification does not meet the live video of policy, recommend the live content for meeting user by user demand simultaneously, reaches the time for saving user's search live content, purification live streaming platform environment, reduces enterprise's violation risk.
Description
Technical field
The present invention relates to internet live streaming content of platform recommended technology field more particularly to a kind of masters for net cast
Broadcast recommended method system and computer equipment.
Background technique
For at present, in interconnection live streaming platform, the good and bad jumbled together for live content, can not accomplish reasonably to be classified, and causes straight
It broadcasts video to be not easy to supervise, user is difficult to select suitable live content, this is also a security risk for enterprise.It is existing
Main broadcaster's way of recommendation be not able to satisfy rationally classification supervision simultaneously to be reached for the suitable live content of user's recommendation.
Summary of the invention
In order to solve the technical issues of existing main broadcaster's way of recommendation is not able to satisfy rationally classification while supervising.
In a first aspect, the present invention provides a kind of main broadcaster's recommended methods for net cast, comprising:
S1: the key frame in interception live video, and carry out image characteristics extraction；
S2: according to the key frame of interception carry out picture material semantic understanding, to video content carry out classification and will live streaming in
Hold labeling and obtains live content label；
S3: being filtered live video content according to the live content label, carries out to live video content style
Management；
S4: filtered live video is recommended into user, is watched after user selects.
Further, the S1 is specifically included:
S1.1: with the key frame in the period interception live video of setting；
S1.2: image characteristics extraction is carried out in the key frame being truncated to.
Further, after the S4 further include:
It saves user and watches habit record.
Further, after the S4 further include:
Obtain the feedback information that the case where recommending direct broadcasting room is watched for characterizing user；
Based on the feedback information, the label matter of the determining live content label corresponding with the recommendation direct broadcasting room
Amount.
Second aspect, the present invention provides a kind of main broadcaster's recommender systems for net cast, comprising:
Characteristic extracting module for intercepting the key frame in live video, and carries out image characteristics extraction；
Categorization module classifies to video content for carrying out picture material semantic understanding according to the key frame of interception
And live content labeling is obtained into live content label；
Filtering module, for being filtered according to the live content label to live video content, to live content wind
Lattice are managed；
Recommending module, for filtered live video to be recommended user.
Further, the characteristic extracting module specifically includes:
Interception module, for the key frame in the period interception live video with setting；
Feature extraction submodule, for carrying out image characteristics extraction in the key frame being truncated to.
Further, the system also includes:
Memory module watches habit record for saving user.
Further, the system also includes:
Feedback module, for obtaining the feedback information for watching the case where recommending direct broadcasting room for characterizing user；
Based on the feedback module, the label matter of the determining live content label corresponding with the recommendation direct broadcasting room
Amount.
The third aspect, the present invention provides a kind of computer equipments, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, the processor realize the step of the above method when executing the computer program
Suddenly.
The invention has the advantages that being classified by the live content to main broadcaster, live content is carried out effective
Supervision, identification do not meet the live video of policy, while recommending by user demand the live content for meeting user, reach saving
User searches for the time of live content, purification live streaming platform environment, reduces enterprise's violation risk.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of main broadcaster's recommended method for net cast of the invention；
Fig. 2 is a kind of structural schematic diagram of main broadcaster's recommender system for net cast of the invention.
Specific embodiment
In being described below, for illustration and not for limitation, propose such as project equipment structure, interface, technology it
The detail of class, to understand thoroughly the present invention.However, it will be clear to one skilled in the art that there is no these specific
The present invention also may be implemented in the other embodiments of details.In other situations, omit to well-known device, circuit and
The detailed description of method, in case unnecessary details interferes description of the invention.
As shown in Figure 1, the invention discloses a kind of main broadcaster's recommended methods for net cast, comprising:
S1: the key frame in interception live video, and carry out image characteristics extraction；
S2: according to the key frame of interception carry out picture material semantic understanding, to video content carry out classification and will live streaming in
Hold labeling and obtains live content label；
S3: being filtered live video content according to the live content label, carries out to live video content style
Management；
S4: filtered live video is recommended into user.
In step s 2, carrying out picture material semantic understanding for the key frame of interception can be emerging by the sense of the prior art
The method that interesting region blur image, semantic understands is realized.
Specifically, understand for the ambiguity, incompleteness and Scene Semantics of the various blurred signals in blurred picture,
On the basis of uncertain factor classification and impact analysis, at the three-level that building deblurring processing, repairing treatment, dynamic combined are handled
Pattern framework is managed, blurred signal is handled；
The support for defining target region of interest, the regularity of distribution by target in area-of-interest calculate support and most
Small support, max support, determine area-of-interest；
Extract the multi-Dimensional parameters of area-of-interest target；
Semantic understanding is carried out to area-of-interest scene according to switching instruction or experimental data, blurred picture is established and manages automatically
The system model of solution realizes that the Scene Semantics of blurred picture understand.
According to semantic understanding as a result, being mapped to live content label.Such as: the knot of the live video semantic understanding of interception
Fruit is dancing live streaming, then obtaining live content label is dancing.
In the step S3, live content is filtered and refers to matching is filtered according to the live content label,
Wherein, matching rule includes: one of full word matching, the matching of part word, phonetic matching, letter matching or a variety of.
In the step S3, the specific straight of live video is referred to the content style that live video content style is managed
Content is broadcast, one kind that live content shows has comprehensive general nature.
Such as: live content is dancing live streaming, and style characteristic is national wind dancing, and what live content showed has comprehensive
The general nature of conjunction property is national wind.
In the step S3, live video content style is managed and refers to classification pipe is carried out according to the content of live streaming
It manages, and then recommends the live content of different-style to user.
In some illustrative embodiments, the S1 is specifically included:
S1.1: with the key frame in the period interception live video of setting；
S1.2: image characteristics extraction is carried out in the key frame being truncated to.
In some illustrative embodiments, after the S4 further include:
It saves user and watches habit record.
In some illustrative embodiments, after the S4 further include:
Obtain the feedback information that the case where recommending direct broadcasting room is watched for characterizing user；
Based on the feedback information, the label matter of the determining live content label corresponding with the recommendation direct broadcasting room
Amount.
User feeds back after watching live streaming according to live content, whether differentiates live content label according to the result of feedback
Live content accurately is described, if it is preferable then to represent live content label quality, if not then representing live content label
It is second-rate.Such as: user watches the live streaming that live content label is national wind, dancing, and what is be actually viewed is Latin dancing wind
The dancing of lattice, then user feedback live streaming label information inaccuracy, then it is poor to represent this live streaming label quality.
As shown in Fig. 2, the present invention also provides a kind of main broadcaster's recommender systems for net cast, comprising:
Characteristic extracting module 100 for intercepting the key frame in live video, and carries out image characteristics extraction；
Categorization module 200 divides video content for carrying out picture material semantic understanding according to the key frame of interception
Live content labeling is simultaneously obtained live content label by class；
Filtering module 300, for being filtered live video content in live streaming according to the live content label
Hold style to be managed；
Recommending module 400 is watched after user selects for filtered live video to be recommended user.
In some illustrative embodiments, the characteristic extracting module 100 specifically includes:
Interception module, for the key frame in the period interception live video with setting；
Feature extraction submodule, for carrying out image characteristics extraction in the key frame being truncated to.
In some illustrative embodiments, the system also includes:
Memory module watches habit record for saving user.
In some illustrative embodiments, the system also includes:
Feedback module, for obtaining the feedback information for watching the case where recommending direct broadcasting room for characterizing user；
Based on the feedback module, the label matter of the determining live content label corresponding with the recommendation direct broadcasting room
Amount.
The present invention also provides a kind of computer equipment, including memory, processor and storage are on a memory and can be
The step of computer program run on processor, the processor realizes the above method when executing the computer program.
Reader should be understood that in the description of this specification reference term " one embodiment ", " is shown " some embodiments "
The description of example ", " specific example " or " some examples " etc. mean specific features described in conjunction with this embodiment or example, structure,
Material or feature are included at least one embodiment or example of the invention.In the present specification, above-mentioned term is shown
The statement of meaning property need not be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described
It may be combined in any suitable manner in any one or more of the embodiments or examples.In addition, without conflicting with each other, this
The technical staff in field can be by the spy of different embodiments or examples described in this specification and different embodiments or examples
Sign is combined.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example
Property, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, modifies, replacement and variant.
Claims (9)
1. a kind of main broadcaster's recommended method for net cast characterized by comprising
S1: the key frame in interception live video, and carry out image characteristics extraction；
S2: carrying out picture material semantic understanding according to the key frame of interception, carries out classification to video content and by live content mark
Labelization obtain live content label；
S3: live video content is filtered according to the live content label, live video content style is managed；
S4: filtered live video is recommended into user.
2. the method according to claim 1, wherein the S1 is specifically included:
S1.1: with the key frame in the period interception live video of setting；
S1.2: image characteristics extraction is carried out in the key frame being truncated to.
3. the method according to claim 1, wherein after the S4 further include:
It saves user and watches habit record.
4. the method according to claim 1, wherein after the S4 further include:
Obtain the feedback information that the case where recommending direct broadcasting room is watched for characterizing user；
Based on the feedback information, the label quality of the determining live content label corresponding with the recommendation direct broadcasting room.
5. a kind of main broadcaster's recommender system for net cast characterized by comprising
Characteristic extracting module for intercepting the key frame in live video, and carries out image characteristics extraction；
Categorization module, for according to the key frame of interception carry out picture material semantic understanding, classified to video content and incite somebody to action
Live content labeling obtains live content label；
Filtering module, for being filtered according to the live content label to live video content, to live content style into
Row management；
Recommending module, for filtered live video to be recommended user.
6. system according to claim 5, which is characterized in that the characteristic extracting module specifically includes:
Interception module, for the key frame in the period interception live video with setting；
Feature extraction submodule, for carrying out image characteristics extraction in the key frame being truncated to.
7. system according to claim 5, which is characterized in that the system also includes:
Memory module watches habit record for saving user.
8. system according to claim 5, which is characterized in that the system also includes:
Feedback module, for obtaining the feedback information for watching the case where recommending direct broadcasting room for characterizing user；
Based on the feedback module, the label quality of the determining live content label corresponding with the recommendation direct broadcasting room.
9. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, which is characterized in that the processor is realized described in any one of claim 1-4 when executing the computer program
The step of method.
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| CN201811147393.3A CN109151500A (en) | 2018-09-29 | 2018-09-29 | A kind of main broadcaster's recommended method, system and computer equipment for net cast |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110062248A (en) * | 2019-04-30 | 2019-07-26 | 广州酷狗计算机科技有限公司 | Recommend the method and apparatus of direct broadcasting room |
| CN110390035A (en) * | 2019-07-26 | 2019-10-29 | 广州虎牙科技有限公司 | Searching method, device, equipment and the storage medium of direct broadcasting room |
| CN110996118A (en) * | 2019-12-20 | 2020-04-10 | 北京达佳互联信息技术有限公司 | Cover synthesis method, device, server and storage medium |
| CN111918137A (en) * | 2020-06-29 | 2020-11-10 | 北京大学 | Push method and device based on video characteristics, storage medium and terminal |
| CN112565828A (en) * | 2020-12-17 | 2021-03-26 | 大兴安岭林海明珠网络技术服务有限公司 | Live video pushing method |
| CN112700654A (en) * | 2020-12-21 | 2021-04-23 | 上海眼控科技股份有限公司 | Video processing method and device, electronic equipment and storage medium |
| CN113315988A (en) * | 2021-05-28 | 2021-08-27 | 北京中指讯博数据信息技术有限公司 | Live video recommendation method and device |
| CN113382279A (en) * | 2021-06-15 | 2021-09-10 | 北京百度网讯科技有限公司 | Live broadcast recommendation method, device, equipment, storage medium and computer program product |
| CN113395537A (en) * | 2021-06-16 | 2021-09-14 | 北京百度网讯科技有限公司 | Method and device for recommending live broadcast room |
| CN116821475A (en) * | 2023-05-19 | 2023-09-29 | 广州蜜糖网络科技有限公司 | Video recommendation method and device based on client data and computer equipment |
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| CN116821475B (en) * | 2023-05-19 | 2024-02-02 | 广州蜜糖网络科技有限公司 | Video recommendation method and device based on client data and computer equipment |
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Application publication date: 20190104 |