CN109241339A - A kind of music recommended method and device - Google Patents

A kind of music recommended method and device Download PDF

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Publication number
CN109241339A
CN109241339A CN201810986878.5A CN201810986878A CN109241339A CN 109241339 A CN109241339 A CN 109241339A CN 201810986878 A CN201810986878 A CN 201810986878A CN 109241339 A CN109241339 A CN 109241339A
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CN
China
Prior art keywords
music
picture
crowd
volume
accounting
Prior art date
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Pending
Application number
CN201810986878.5A
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Chinese (zh)
Inventor
刘宇
殷飞
彭杰
何健
柳瑞超
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Samsung Electronics China R&D Center
Samsung Electronics Co Ltd
Original Assignee
Samsung Electronics China R&D Center
Samsung Electronics Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Samsung Electronics China R&D Center, Samsung Electronics Co Ltd filed Critical Samsung Electronics China R&D Center
Priority to CN201810986878.5A priority Critical patent/CN109241339A/en
Publication of CN109241339A publication Critical patent/CN109241339A/en
Pending legal-status Critical Current

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Abstract

This application provides a kind of music recommended method and devices, this method comprises: determining the age bracket accounting and dress style accounting of crowd under current environment according to the picture of acquisition;The most popular first music list of the corresponding crowd of the age bracket is determined according to the maximum age bracket of age bracket accounting;The second most popular music list of the corresponding crowd of the dressing is determined according to the maximum dressing of dress style accounting;First music list will be both present in, and the music for being present in the second music list is recommended and played.This method can be improved equipment disposal ability and user experience.

Description

A kind of music recommended method and device
Technical field
The present invention relates to technical field of information processing, in particular to a kind of music recommended method and device.
Background technique
Present playback equipment such as computer etc. is smart machine, music, the story etc. that can be played with intelligent recommendation.
There is the terminal for recommending music from trend user according to user's habit now, needs to obtain the number of user from terminal According to, and terminal is for each user, there is no for people in the larger places of crowd densities such as megastore, railway station The music of group is recommended.
Summary of the invention
In view of this, the application provides a kind of music recommended method and device, equipment disposal ability, Yi Jiyong can be improved Family experience.
A kind of music recommended method is applied in the biggish place of crowd density, this method comprises:
The age bracket accounting and dress style accounting of crowd under current environment are determined according to the picture of acquisition;
The most popular first music column of the corresponding crowd of the age bracket are determined according to the maximum age bracket of age bracket accounting Table;
The second most popular music list of the corresponding crowd of the dressing is determined according to the maximum dressing of dress style accounting;
First music list will be both present in, and the music for being present in the second music list is recommended and played.
A kind of music recommendation apparatus is applied in the biggish place of crowd density, which includes: acquiring unit, determination Unit and broadcast unit;
The acquiring unit, for obtaining picture;
The determination unit, the picture for being obtained according to the acquiring unit determine the age bracket of crowd under current environment Accounting and dress style accounting;Determine the corresponding crowd of the age bracket most by joyous according to the maximum age bracket of age bracket accounting The first music list met;Most popular second of the corresponding crowd of the dressing is determined according to the maximum dressing of dress style accounting Music list;
The broadcast unit for will both be present in the determining first music list of the determination unit, and is present in institute The music for stating the second music list that determination unit determines is recommended and is played.
In order to solve the above technical problems, the technical solution of the application is achieved in that
As can be seen from the above technical solution, it is determined current in the application according to the age distribution of crowd and dress style The music to be recommended.The technical solution can be improved equipment disposal ability and user experience.
Detailed description of the invention
Fig. 1 is music recommended flowsheet schematic diagram in the embodiment of the present application;
Fig. 2 is that the flow diagram for playing the volume of music is determined in the embodiment of the present application;
Fig. 3 is the apparatus structure schematic diagram for being applied to above-mentioned technology in the embodiment of the present application.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and examples, Technical solution of the present invention is described in detail.
A kind of music recommended method is provided in the embodiment of the present application, be applied to the biggish place of crowd density in, as station, Megastore, dining room etc. determine the music currently to be recommended according to the age distribution of crowd and dress style.The technology Scheme can be improved equipment disposal ability and user experience.
With reference to the accompanying drawing, it is described in detail in the embodiment of the present application and realizes music recommendation process.
Determine that the music recommended for the crowd in current environment can be determined by playback equipment in the embodiment of the present application, It can individually be determined by a processing equipment, be then forwarded to playback equipment and recommended and played.
Below by taking playback equipment is determining and plays music as an example.
It is music recommended flowsheet schematic diagram in the embodiment of the present application referring to Fig. 1, Fig. 1.Specific steps are as follows:
Step 101, playback equipment determines the age bracket accounting and dressing of crowd under current environment according to the picture of acquisition Style accounting.
The picture obtained in the embodiment of the present application is the picture shot by camera, or the frame in the video of shooting Corresponding picture.
The picture or video shot by camera can be transferred to playback equipment.
When playback equipment receives the video of thecamera head, need first to handle video, such as at interval of it is fixed when Between take out a frame as a picture.Here set time can be set according to actual needs.
The picture no matter directly shot, or can be chosen wherein by the picture of video acquisition if interval is shorter One picture is handled, and plurality of pictures can also be chosen, according to plurality of pictures handle results are averaged determine age bracket Accounting and dress style accounting.
Determination for age bracket accounting and dress style accounting can determine that the application is implemented according to existing implementation It is provided in example but is not limited to following implementations:
It needs to be trained using great amount of samples data set by the neural network established in advance, obtains an input as figure Piece exports as the neural network model of age accounting and dress style accounting.
The foundation of neural network model is realized on playback equipment, can also be realized in other equipment, then be transferred to and broadcast It puts in equipment.
After playback equipment obtains picture, the log on model to establish is inputted, the accounting and dressing for obtaining age bracket account for Than.
Wherein, age bracket accounting, such as accounting of people, the accounting of the people in 80-90 age, the people in 70-80 age in the 00's Accounting, the accounting of the people in 60-70 age etc..
Dress style accounting such as hip-hop style accounting, classicism accounting, Trend of fashion accounting, jazz's style accounting, is shaken Roll style accounting etc..
Step 102, which determines the corresponding crowd of the age bracket most according to the maximum age bracket of age bracket accounting Welcome first music list.
Step 103, the playback equipment according to the maximum dressing of dress style accounting determine the corresponding crowd of the dressing most by The second music list welcome.
Have on present network and divide music in the presence of according to various mode classifications, can directly use and divided on network Music libraries realize and determine first music and the second music list, can also voluntarily establish various dress styles and age bracket Corresponding music libraries.
Step 104, which will both be present in first music list, and be present in the music of the second music list into Row is recommended and is played.
It, can directly will be in first music list and the second music list when determining the music recommended in the embodiment of the present application Intersection music take out and establish third music list;It can also directly acquire and both there is first music list there is also the second sounds Music in happy list is directly recommended, and since crowd can change, may play the sound that will change broadcasting after a piece of music in this way Happy style.
If intersection is not present in the music in first music list and the second music list, preferential recommendation first music column Music in table.
Whether change style for the music of broadcasting, or for the change of age bracket, can be changed with the fixed cycle, it can also To be determined with the time of the current whole section of music of broadcasting.Specifically:
At the end of whole section of music, the next section of music played is determined according to the picture currently obtained.Here whole section of sound Happy a such as song, one section of absolute music.
With reference to the accompanying drawing, the volume determination process that music is played in the embodiment of the present application is described in detail.
Referring to fig. 2, Fig. 2 is that the flow diagram for playing the volume of music is determined in the embodiment of the present application.Specific steps are as follows:
Step 201, playback equipment detects ambient noise.
Ambient noise is detected according to the prior art.
Step 202, the playback equipment is according to the determining minimum that people can hear under the present circumstances of the ambient noise detected Volume.
Referring to table 1, table 1 is content corresponding to minimal volume that people can hear under various circumstances.
The volume schematic diagram that the application provided in table 1 is provided according to common sense, but it is not limited to following the description.
Volume decibel Local environment
1 decibel The sound that can have just heard
15 decibels or less Feel quiet
30 decibels The volume of whisper in sb.'s ear
40 decibels The buzz of refrigerator
60 decibels The sound normally talked
Table 1
Step 203, which determines the crowd density of crowd under current environment according to the picture of acquisition.
Determination for crowd density can be determined according to existing implementation, provided but be not limited in the embodiment of the present application Following implementations:
It needs to be trained using great amount of samples data set by the neural network established in advance, obtains an input as figure Piece exports the neural network model for crowd density.
The foundation of neural network model is realized on playback equipment, can also be realized in other equipment, then be transferred to and broadcast It puts in equipment.
Step 204, which determines volume adjustment value according to crowd density.
Determine that volume adjustment value specifically includes according to crowd density in this step:
Wherein, x is crowd density, and number expression can be used;F (x) is volume adjustment value.
Step 205, which adjusts upward the minimal volume that determining people can hear determining volume adjustment value Volume of the volume afterwards as currently playing music.
When the application implements, the adjustment period of volume adjustment can be configured, it is true to obtain picture at interval of the adjustment period Surely the volume of music is played;Adjusting the period may be the fixed cycle, or play the time of whole section of music, i.e., the tune of one variation Complete cycle.
The application is provided using scene at the train station, and there is the crowd for waiting in line ticket checking outside in railway station, is also had The inside waits the crowd to wait.Can intelligent recommendation most people like through the invention music, and volume is big Small that people can be allowed to have listened is very comfortable, is not in excessive too small defect, it is possible to reduce the time for playing mobile phone plays one to health Be set for use, the time of waiting unconsciously also it is boring.It is implemented as follows:
The first step obtains environmental data (video image) from monitoring device (camera etc.), handles video, often It extracts a frame every the set time and is input to preparatory trained crowd density neural network model and determine crowd density.
Second step inputs trained dress style accounting and age bracket accounting neural network in advance using corresponding frame Model determines dress style accounting and age bracket accounting.
Third step, according to highest age distribution accounting and dress style accounting, intelligent recommendation music.
4th step, acquisition environmental noise obtain the volume of environmental noise, and determine currently playing music in conjunction with crowd density Volume.
5th step plays determining music according to determining volume.
Based on same inventive concept, the application also proposes a kind of music recommendation apparatus, and it is biggish to be applied to crowd density In place.Referring to Fig. 3, Fig. 3 is the apparatus structure schematic diagram for being applied to above-mentioned technology in the embodiment of the present application.The device includes: Acquiring unit 301, determination unit 302 and broadcast unit 303;
Acquiring unit 301, for obtaining picture;
Determination unit 302, the picture for being obtained according to acquiring unit 301 determine that the age bracket of crowd under current environment accounts for Than and dress style accounting;Determine that the corresponding crowd of the age bracket is most popular according to the maximum age bracket of age bracket accounting First music list;The second most popular sound of the corresponding crowd of the dressing is determined according to the maximum dressing of dress style accounting Happy list;
Broadcast unit 303 for will both be present in the determining first music list of determination unit 302, and is present in determination The music for the second music list that unit 302 determines is recommended and is played.
Preferably, described device further comprises: detection unit 304;
Detection unit 304, for detecting ambient noise;
Determination unit 302 is further used for the ambient noise detected according to detection unit 304 and determines under the present circumstances The minimal volume that people can hear;The crowd density of crowd under current environment is determined according to the picture of acquisition;It is true according to crowd density Determine volume adjustment value;
Broadcast unit 303 is further used for adjusting upward the minimal volume that the people that told determination unit determines can hear Volume of the volume as currently playing music after determining volume adjustment value.
Preferably,
Determination unit 302, specifically for determining volume adjustment value according to crowd density, comprising:
Wherein, x is crowd density;F (x) is volume adjustment value.
Preferably,
Determination unit 302 is further used at the end of whole section of music, is determined under playing according to the picture currently obtained One section of music;The adjustment period for configuring volume adjustment obtains the volume that picture determines broadcasting music at interval of the adjustment period.
Preferably,
Acquiring unit 301, the picture specifically for acquisition are the picture shot by camera, or in the video of shooting The corresponding picture of a frame.
The unit of above-described embodiment can integrate in one, can also be deployed separately;It can be merged into a unit, it can also To be further split into multiple subelements.
In conclusion age distribution and dress style of the application according to crowd, determine the music currently to be recommended. The technical solution can be improved equipment disposal ability and user experience.
Density and ambient noise in the embodiment of the present application also according to crowd in environment determine broadcast sound volume, Neng Gourang People feels comfortable, and attracts being resident for crowd.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention Within mind and principle, any modification, equivalent substitution, improvement and etc. done be should be included within the scope of the present invention.

Claims (10)

1. a kind of music recommended method is applied in the biggish place of crowd density, which is characterized in that this method comprises:
The age bracket accounting and dress style accounting of crowd under current environment are determined according to the picture of acquisition;
The most popular first music list of the corresponding crowd of the age bracket is determined according to the maximum age bracket of age bracket accounting;
The second most popular music list of the corresponding crowd of the dressing is determined according to the maximum dressing of dress style accounting;
First music list will be both present in, and the music for being present in the second music list is recommended and played.
2. the method according to claim 1, wherein the method further includes:
Detect ambient noise;
The minimal volume that people can hear under the present circumstances is determined according to the ambient noise detected;
The crowd density of crowd under current environment is determined according to the picture of acquisition;
Volume adjustment value is determined according to crowd density;
Volume after the minimal volume that determining people can hear to be adjusted upward to determining volume adjustment value is as currently playing sound Happy volume.
3. according to the method described in claim 2, it is characterized in that, described determine volume adjustment value according to crowd density, comprising:
Wherein, x is crowd density;F (x) is volume adjustment value.
4. according to the method described in claim 2, it is characterized in that, the method further includes:
At the end of whole section of music, the next section of music played is determined according to the picture currently obtained;
The adjustment period for configuring volume adjustment obtains the volume that picture determines broadcasting music at interval of the adjustment period.
5. method according to claim 1-4, which is characterized in that
The picture of the acquisition is the picture shot by camera, or the corresponding picture of a frame in the video of shooting.
6. a kind of music recommendation apparatus is applied in the biggish place of crowd density, which is characterized in that the device includes: to obtain Unit, determination unit and broadcast unit;
The acquiring unit, for obtaining picture;
The determination unit, the picture for being obtained according to the acquiring unit determine that the age bracket of crowd under current environment accounts for Than and dress style accounting;Determine that the corresponding crowd of the age bracket is most popular according to the maximum age bracket of age bracket accounting First music list;The second most popular sound of the corresponding crowd of the dressing is determined according to the maximum dressing of dress style accounting Happy list;
The broadcast unit for will both be present in the determining first music list of the determination unit, and is present in described true The music for the second music list that order member determines is recommended and is played.
7. device according to claim 6, which is characterized in that described device further comprises: detection unit;
The detection unit, for detecting ambient noise;
The determination unit is further used for the ambient noise detected according to the detection unit and determines people under the present circumstances The minimal volume that can be heard;The crowd density of crowd under current environment is determined according to the picture of acquisition;It is determined according to crowd density Volume adjustment value;
The broadcast unit is further used for the minimal volume that the people that told determination unit determines can hear adjusting upward determination Volume adjustment value after volume of the volume as currently playing music.
8. device according to claim 7, which is characterized in that
The determination unit, specifically for determining volume adjustment value according to crowd density, comprising:
Wherein, x is crowd density;F (x) is volume adjustment value.
9. device according to claim 7, which is characterized in that
The determination unit, is further used at the end of whole section of music, determines the next of broadcasting according to the picture currently obtained Duan Yinle;The adjustment period for configuring volume adjustment obtains the volume that picture determines broadcasting music at interval of the adjustment period.
10. according to the described in any item devices of claim 6-9, which is characterized in that
The acquiring unit, the picture specifically for acquisition are the picture shot by camera, or in the video of shooting The corresponding picture of one frame.
CN201810986878.5A 2018-08-28 2018-08-28 A kind of music recommended method and device Pending CN109241339A (en)

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Application Number Priority Date Filing Date Title
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Application Number Priority Date Filing Date Title
CN201810986878.5A CN109241339A (en) 2018-08-28 2018-08-28 A kind of music recommended method and device

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110087119A (en) * 2019-04-26 2019-08-02 广州酷狗计算机科技有限公司 Homepage display methods, device and computer readable storage medium is broadcast live
CN111208970A (en) * 2020-01-06 2020-05-29 广东小天才科技有限公司 Audio playing method and audio playing device

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101819732A (en) * 2009-02-27 2010-09-01 捷讯研究有限公司 Adaptive pedestrian billboard system and correlation technique
CN101819733A (en) * 2009-02-27 2010-09-01 捷讯研究有限公司 Adaptive roadside billboard system and correlation technique
CN102201188A (en) * 2011-05-25 2011-09-28 华侨大学 Building television advertisement system oriented intelligent control device and method
CN103760968A (en) * 2013-11-29 2014-04-30 理光软件研究所(北京)有限公司 Method and device for selecting display contents of digital signage
CN106406319A (en) * 2016-11-11 2017-02-15 华南智能机器人创新研究院 Smart guiding robot
CN106407424A (en) * 2016-09-26 2017-02-15 维沃移动通信有限公司 A music recommendation method and a mobile terminal
CN106446290A (en) * 2016-11-11 2017-02-22 华南智能机器人创新研究院 Method of intelligent robot tour guide
CN107464135A (en) * 2017-07-11 2017-12-12 浙江新再灵科技股份有限公司 A kind of elevator card jettison system and method based on characteristics of human body's identification
CN107545249A (en) * 2017-08-30 2018-01-05 国信优易数据有限公司 A kind of population ages' recognition methods and device
CN108182395A (en) * 2017-12-25 2018-06-19 北京华捷艾米科技有限公司 User registering method and device
CN108197185A (en) * 2017-12-26 2018-06-22 努比亚技术有限公司 A kind of music recommends method, terminal and computer readable storage medium
CN108229559A (en) * 2017-12-29 2018-06-29 深圳市商汤科技有限公司 Dress ornament detection method, device, electronic equipment, program and medium
CN108279573A (en) * 2018-02-05 2018-07-13 北京智能管家科技有限公司 Control method, device, intelligent appliance based on human body detection of attribute and medium

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101819733A (en) * 2009-02-27 2010-09-01 捷讯研究有限公司 Adaptive roadside billboard system and correlation technique
CN101819732A (en) * 2009-02-27 2010-09-01 捷讯研究有限公司 Adaptive pedestrian billboard system and correlation technique
CN102201188A (en) * 2011-05-25 2011-09-28 华侨大学 Building television advertisement system oriented intelligent control device and method
CN103760968A (en) * 2013-11-29 2014-04-30 理光软件研究所(北京)有限公司 Method and device for selecting display contents of digital signage
CN106407424A (en) * 2016-09-26 2017-02-15 维沃移动通信有限公司 A music recommendation method and a mobile terminal
CN106446290A (en) * 2016-11-11 2017-02-22 华南智能机器人创新研究院 Method of intelligent robot tour guide
CN106406319A (en) * 2016-11-11 2017-02-15 华南智能机器人创新研究院 Smart guiding robot
CN107464135A (en) * 2017-07-11 2017-12-12 浙江新再灵科技股份有限公司 A kind of elevator card jettison system and method based on characteristics of human body's identification
CN107545249A (en) * 2017-08-30 2018-01-05 国信优易数据有限公司 A kind of population ages' recognition methods and device
CN108182395A (en) * 2017-12-25 2018-06-19 北京华捷艾米科技有限公司 User registering method and device
CN108197185A (en) * 2017-12-26 2018-06-22 努比亚技术有限公司 A kind of music recommends method, terminal and computer readable storage medium
CN108229559A (en) * 2017-12-29 2018-06-29 深圳市商汤科技有限公司 Dress ornament detection method, device, electronic equipment, program and medium
CN108279573A (en) * 2018-02-05 2018-07-13 北京智能管家科技有限公司 Control method, device, intelligent appliance based on human body detection of attribute and medium

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110087119A (en) * 2019-04-26 2019-08-02 广州酷狗计算机科技有限公司 Homepage display methods, device and computer readable storage medium is broadcast live
CN110087119B (en) * 2019-04-26 2022-02-22 广州酷狗计算机科技有限公司 Live broadcast home page display method and device and computer readable storage medium
CN111208970A (en) * 2020-01-06 2020-05-29 广东小天才科技有限公司 Audio playing method and audio playing device
CN111208970B (en) * 2020-01-06 2023-09-19 广东小天才科技有限公司 Audio playing method and audio playing device

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