CN109522444A - Request processing method and device, storage medium and electronic device - Google Patents

Request processing method and device, storage medium and electronic device Download PDF

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Publication number
CN109522444A
CN109522444A CN201811340544.7A CN201811340544A CN109522444A CN 109522444 A CN109522444 A CN 109522444A CN 201811340544 A CN201811340544 A CN 201811340544A CN 109522444 A CN109522444 A CN 109522444A
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China
Prior art keywords
image
smart machine
audio
type
target
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CN201811340544.7A
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CN109522444B (en
Inventor
张新
王慧君
毛跃辉
连园园
秦萍
陶梦春
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Gree Electric Appliances Inc of Zhuhai
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Gree Electric Appliances Inc of Zhuhai
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20Movements or behaviour, e.g. gesture recognition
    • G06V40/23Recognition of whole body movements, e.g. for sport training
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/26Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G06V10/267Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds

Abstract

The present invention discloses a kind of request processing method and device, storage medium and electronic device.Wherein, this method comprises: receiving the request message that smart machine is sent, wherein request message is used for the audio data of request target audio types, and the login banner for logging in smart machine is carried in request message;Response request message determines movable goal activities type performed by the target object of currently used smart machine;With the matched mapping relations of login banner, the target audio preference parameters to match with target audio type and goal activities type are determined;The target audio data of target audio type with target audio preference parameters are sent to smart machine.The present invention solves the not high technical problem of demand matching degree of the audio data that smart machine present in the relevant technologies is played and user.

Description

Request processing method and device, storage medium and electronic device
Technical field
The present invention relates to computer fields, in particular to a kind of request processing method and device, storage medium and electricity Sub-device.
Background technique
Currently, user can carry out the search and broadcasting of audio data by smart machine.For example, user want to listen story or When person's music, it can be searched for by smart machine and play story or music.
However, smart machine is searched for and the audio data played may not be what user needed.For example, user wants to listen event Thing, the story that household electrical appliances are recommended may not be that user is favorite.For another example, user wants to listen some music when reading, but The music that household electrical appliances play back be it is noisy, do not meet user's current demand completely.
However, the demand matching degree of audio data and user that smart machine present in the relevant technologies is played is not high, It is unable to satisfy user demand, leads to the problem that user experience is poor.
Summary of the invention
The embodiment of the present invention provides a kind of request processing method and device, storage medium and electronic device, at least to solve The not high technical problem of the demand matching degree of audio data and user that smart machine present in the relevant technologies is played.
According to an aspect of an embodiment of the present invention, a kind of request processing method is provided, comprising: receive smart machine hair The request message sent, wherein request message is used for the audio data of request target audio types, carries and is used in request message Log in the login banner of smart machine;Response request message determines work performed by the target object of currently used smart machine Dynamic goal activities type;With the matched mapping relations of login banner, determine and target audio type and goal activities class The target audio preference parameters that type matches;By the target audio data of the target audio type with target audio preference parameters It is sent to smart machine.
Further, before receiving the request message that smart machine is sent, smart machine the first figure collected is received Picture;Identify movable first Activity Type performed by the references object in the first image;It is collected to receive smart machine Reference audio data;And/or determine the currently playing reference audio data of smart machine;It identifies belonging to reference audio data The first audio types and the first audio preference parameters corresponding with the first audio types;By the first Activity Type, the first sound Frequency type and the first audio preference parameters, be stored in in the matched mapping relations of login banner.
Further, after identifying movable first Activity Type performed by the references object in the first image, In the case where the first Activity Type is reading activities, identified from the first image corresponding with reading activities by reading pair The reading preference parameters of elephant, wherein reading activities are corresponding with the second audio types;With the matched mapping relations of login banner Middle preservation at least one of: the first Activity Type, the second audio types and reading preference parameters;Second Activity Type, second Audio types and reading preference parameters, wherein the first Activity Type is different from the second Activity Type.
Further, the reading preference parameters of object being read corresponding with reading activities are identified from the first image Include: that image segmentation is carried out to the first image, obtains multiple pixel images;From multiple pixel images, determine comprising being read Read the goal pels image of object;From goal pels image, image feature information corresponding with object being read is identified; According to image feature information, the reading preference parameters of object being read are determined.
Further, it is determined that movable goal activities type packet performed by the target object of currently used smart machine It includes: obtaining smart machine one or more second images collected using login banner, wherein the second image, which is used to indicate, works as Movable goal activities type performed by the preceding target object using smart machine;Identify mesh in one or more second images Mark movable goal activities type performed by object.
Further, obtaining smart machine one or more second images collected using login banner includes: to utilize Login banner is searched and matched one or more second images of login banner, wherein image data base from image data base In be stored with different login banner institutes acquired image, the acquisition time of one or more second images, which is in, to be received request and disappears Within first time range before breath;And/or using login banner, one or more second images are received from smart machine, Wherein, the acquisition time of one or more second images is within the second time range after receiving request message.
Further, the target audio data of the target audio type with audio preference parameters are being sent to intelligent set Before standby, in the case where target audio data include multiple audio datas, according to historical operating data, to multiple audio datas It is ranked up, obtains ranking results, wherein historical operating data is used to indicate the history audio to being played by smart machine Operation performed by data;The target audio data of target audio type with audio preference parameters are sent to smart machine It include: that multiple audio datas are sent to smart machine according to sequence indicated by ranking results.
Further, goal activities type is at least one of: being read, movement, Yoga, sleep;Target audio type For at least one of: music, story;Target audio preference parameters are audio tag possessed by target audio data.
According to an aspect of an embodiment of the present invention, a kind of request processing method is provided, comprising: the first receiving module, For receiving the request message of smart machine transmission, wherein request message is used for the audio data of request target audio types, asks Seek the login banner carried in message for logging in smart machine;First determining module, is used for response request message, and determination is worked as Movable goal activities type performed by the preceding target object using smart machine;Second determining module, for login It identifies in matched mapping relations, the determining target audio hobby to match with target audio type and goal activities type is joined Number;Sending module, for the target audio data of the target audio type with target audio preference parameters to be sent to intelligence Equipment.
Further, device further include: the second receiving module, for receive smart machine send request message it Before, receive smart machine the first image collected;First identification module, for identification the references object institute in the first image out Movable first Activity Type executed;Third receiving module, for receiving smart machine reference audio data collected; And/or third determining module, for determining the currently playing reference audio data of smart machine;Second identification module, for knowing It Chu not the first audio types and the first audio preference parameters corresponding with the first audio types belonging to reference audio data;The One preserving module is stored in and login banner for by the first Activity Type, the first audio types and the first audio preference parameters In matched mapping relations.
Further, device further include: third identification module, for identifying that the references object in the first image is held After capable movable first Activity Type, in the case where the first Activity Type is reading activities, identified from the first image The reading preference parameters of object being read corresponding with reading activities out, wherein reading activities are opposite with the second audio types It answers;Second preserving module, for at least one of: the first activity class is saved in the matched mapping relations of login banner Type, the second audio types and reading preference parameters;Second Activity Type, the second audio types and reading preference parameters, wherein the One Activity Type is different from the second Activity Type.
Further, third identification module includes: image segmentation unit, for carrying out image segmentation to the first image, is obtained To multiple pixel images;First determination unit, for determining the target picture comprising object being read from multiple pixel images First image;First recognition unit, for from goal pels image, identifying characteristics of image letter corresponding with object being read Breath;Second determination unit, for determining the reading preference parameters of object being read according to image feature information.
Further, the first determining module includes: acquiring unit, is acquired for obtaining smart machine using login banner The second image of one or more, wherein the second image is used to indicate performed by the target object of currently used smart machine Movable goal activities type;Second recognition unit, for identification in one or more second images performed by target object Movable goal activities type.
Further, acquiring unit includes: lookup subelement, for utilizing login banner, is searched from image data base With matched one or more second images of login banner, wherein be stored with different login banners in image data base and acquired The image arrived, the acquisition time of one or more second images are within the first time range before receiving request message; And/or receiving subelement receives one or more second images from smart machine, wherein one for utilizing login banner Or the acquisition time of multiple second images is within the second time range after receiving request message.
Further, device further include: sorting module, sending module include: transmission unit, wherein sorting module is used for Before the target audio data of the target audio type with audio preference parameters are sent to smart machine, in target audio In the case that data include multiple audio datas, according to historical operating data, multiple audio datas is ranked up, are sorted As a result, wherein historical operating data is used to indicate to operation performed by the history audio data played by smart machine; Transmission unit, for according to sequence indicated by ranking results, multiple audio datas to be sent to smart machine.
Another aspect according to an embodiment of the present invention, additionally provides a kind of storage medium, and meter is stored in the storage medium Calculation machine program, wherein the computer program is arranged to execute the above method when operation.
Another aspect according to an embodiment of the present invention, additionally provides a kind of electronic device, including memory, processor and deposits Store up the computer program that can be run on a memory and on a processor, wherein above-mentioned processor passes through computer program and executes Above-mentioned method.
In embodiments of the present invention, the request message sent by receiving smart machine, wherein request message is for requesting The audio data of target audio type carries the login banner for logging in smart machine in request message;Respond request disappears Breath, determines movable goal activities type performed by the target object of currently used smart machine;It is matched with login banner Mapping relations in, the determining target audio preference parameters to match with target audio type and goal activities type;To have The target audio data of the target audio type of target audio preference parameters are sent to smart machine, include activity due to being provided with The mapping relations of type, audio types and audio preference parameters, in the audio data of smart machine request target audio types, Movable Activity Type, the audio types of request according to performed by the target object of currently used smart machine and audio hobby Parameter recommends the audio data for meeting its hobby for user, improves the audio data of recommendation and the matching degree of user demand, full Sufficient user demand improves user experience, so solve audio data that smart machine present in the relevant technologies is played with The not high technical problem of the demand matching degree of user.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is a kind of hardware block diagram of the server of request processing method of the embodiment of the present invention;
Fig. 2 is a kind of flow diagram of optional request processing method according to an embodiment of the present invention;
Fig. 3 is a kind of flow diagram of optional image recognition according to an embodiment of the present invention;
Fig. 4 is the flow diagram of another optional request processing method according to an embodiment of the present invention;
Fig. 5 is a kind of structural schematic diagram of optional request processing unit according to an embodiment of the present invention;And
Fig. 6 is a kind of structural schematic diagram of optional electronic device according to an embodiment of the present invention.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work It encloses.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, " Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way Data be interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to illustrating herein or Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover Cover it is non-exclusive include, for example, the process, method, system, product or equipment for containing a series of steps or units are not necessarily limited to Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product Or other step or units that equipment is intrinsic.
Embodiment 1
Embodiment of the method provided by the embodiment of the present application 1 can be in server, terminal or similar operation It is executed in device.For running on the server, Fig. 1 is a kind of server of request processing method of the embodiment of the present invention Hardware block diagram.As shown in Figure 1, server 10 may include one or more (only showing one in Fig. 1) processors 102 It (processing unit that processor 102 can include but is not limited to Micro-processor MCV or programmable logic device FPGA etc.) and is used for The memory 104 of storing data, optionally, above-mentioned server can also include for communication function transmission device 106 and Input-output equipment 108.It will appreciated by the skilled person that structure shown in FIG. 1 is only to illustrate, not to above-mentioned The structure of mobile terminal causes to limit.For example, server 10 may also include the more or less component than shown in Fig. 1, or Person has the configuration different from shown in Fig. 1.
Memory 104 can be used for storing computer program, for example, the software program and module of application software, such as this hair The corresponding computer program of request processing method in bright embodiment, processor 101 are stored in memory 104 by operation Computer program realizes above-mentioned method thereby executing various function application and data processing.Memory 104 may include High speed random access memory, may also include nonvolatile memory, as one or more magnetic storage device, flash memory or its His non-volatile solid state memory.In some instances, memory 104 can further comprise remotely setting relative to processor 101 The memory set, these remote memories can pass through network connection to server 10.The example of above-mentioned network includes but unlimited In internet, intranet, local area network, mobile radio communication and combinations thereof.
Transmitting device 106 is used to that data to be received or sent via a network.Above-mentioned network specific example may include The wireless network that the communication providers of server 10 provide.In an example, transmitting device 106 includes a network adapter (Network Interface Controller, referred to as NIC), can be connected by base station with other network equipments so as to It is communicated with internet.In an example, transmitting device 106 can be radio frequency (Radio Frequency, referred to as RF) Module is used to wirelessly be communicated with internet.
Optionally, in the present embodiment, as an alternative embodiment, as shown in Fig. 2, above-mentioned request processing method May include:
S202 receives the request message that smart machine is sent, wherein request message is used for the sound of request target audio types Frequency evidence carries the login banner for logging in smart machine in request message;
S204, response request message determine that movable target performed by the target object of currently used smart machine is living Dynamic type;
S206, in the matched mapping relations of login banner, determining and target audio type and goal activities type phase Matched target audio preference parameters;
The target audio data of target audio type with target audio preference parameters are sent to intelligence and set by S208 It is standby.
Through the above steps, the request message that smart machine is sent is received, wherein request message is used for request target audio The audio data of type carries the login banner for logging in smart machine in request message;Response request message, determination are worked as Movable goal activities type performed by the preceding target object using smart machine;With the matched mapping relations of login banner In, the determining target audio preference parameters to match with target audio type and goal activities type;There to be target audio happiness The target audio data of the target audio type of good parameter are sent to smart machine, solve and intelligently set present in the relevant technologies The not high problem of the demand matching degree of the standby audio data and user played, improves audio data and the user demand of recommendation Matching degree, meet user demand, improve user experience.
Optionally, the executing subject of above-mentioned steps can be server etc., but not limited to this.
In step S202, the request message that smart machine is sent is received, wherein request message is used for request target audio The audio data of type carries the login banner for logging in smart machine in request message.
Above-mentioned smart machine can be intelligent terminal, can include but is not limited to: smart home, and smart phone, intelligence can Wearable device, tablet computer etc..Above-mentioned smart home can include but is not limited to following one: artificial intelligence (Artificial Intelligence, referred to as AI) speaker, AI air-conditioning, smart television, intelligent refrigerator etc..Above-mentioned intelligence wearable device can be with Including but not limited at least one of: Intelligent bracelet, smartwatch, neck belt-type apparatus, ear belt-type apparatus etc..
Above-mentioned request message can be playing request, and request message is used for the audio data of request target audio types.Mesh Mark audio types are used to identify the type of requested audio data, can include but is not limited at least one of: music, event Thing (for example, classic literature works, the network novel, storytelling), open class, TV play etc..For example, request message is for requesting music The audio data of type, alternatively, request message is used to request the audio data of story type.
Above-mentioned request message can carry at least one of following information: the request mark for identification request type Know, for identifying the type identification of target audio type, for identification request sender login banner (for example, login account, The device identification etc. of smart machine), the recipient for identification request recipient identifies.
The structure of above-mentioned smart machine is similar with Fig. 1, includes processor, memory, transmitting device and input and output Equipment.Above-mentioned input-output equipment can include but is not limited to: microphone or microphone array, loudspeaker etc..
Above-mentioned request message can be the playing request instruction triggers that user's sending is detected by smart machine.Above-mentioned broadcasting Request instruction can be by voice input: smart machine receives playing request instruction by voice input.It is above-mentioned to broadcast Put request instruction be also possible to it is received from the terminal device for controlling smart machine: terminal device receives defeated by voice Enter playing request instruction, alternatively, terminal device detect to performed by terminal device for trigger playing request instruction Touch control operation responds touch control operation, generates playing request instruction;Terminal device sends playing request instruction to smart machine.
The input of user can have specific format, for example, the format of voice input are as follows: " I will listen "+audio types (" I will listen to music ", " I will listen story " etc.) is also possible to nonspecific format (" putting a song ", " telling a story " etc.), then It is identified by AI technology, determining corresponding request message, (determining process can be in smart machine or control The terminal equipment side of smart machine processed, can also be in server side).
After smart machine sends request message to server, server can receive the request of smart machine transmission Message.Above-mentioned server can be with server corresponding to login banner, for example, if login banner is to smart machine institute The enterprise of category is registered, which is the server or associated server (can be associated with by authorization) of this enterprise;Such as Fruit login banner is for third-party account, and server can be third-party server or be associated with third party or this enterprise Server (can by authorization be associated).
For example, user is responded the input, is intelligently set by voice command input " I will listen story ", " I will listen to music " The standby request message sent to server for requesting the audio data of music type.Server receives the request message.
In step S204, the request message received is responded, determines that the target object of currently used smart machine is held Capable movable goal activities type.
Goal activities type is pre-set Activity Type, can be identified by server.Above-mentioned goal activities type is At least one of: it reads, movement, Yoga, sleep.
Above-mentioned goal activities type can determine in several ways, can include but is not limited to:
(1) it carries in request message.
The goal activities type carried in request message can be indicated by the input instruction by getting, for example, with Family can input the goal activities type (for example, voice input is " I is reading, I will listen to music ") by voice, can also be with It is to be identified from the image of acquisition by smart machine.
(2) by identifying that the image of smart machine acquisition determines.
Server can receive its acquired image from the smart machine.It is set in smart machine comprising Image Acquisition It is standby, periodically the object in the coverage of smart machine can be shot, obtain acquisition image, and image will be acquired It is sent to server.
Image capture device can be camera, and smart machine can be to the object within its camera coverage It is analyzed, it is determined whether the object (for example, people) comprising target type.In the case where not including the object of target type, The shooting angle for adjusting camera, until in coverage including the object of target type.
In camera coverage include target type object when, can be become according to the position of the object of target type Change adjustment camera shooting angle (object follows) so that the object of target type be in always the coverage of camera with It is interior.It is a certain specific object (for example, specific people, can pass through face carrying out object with the target followed at any time, can be set Portion's feature extracting and matching is followed).
For example, smart machine (or server) carries out the object for being included in the coverage of the camera of smart machine Analysis.In the object comprising target type, feature is carried out to the target area (face area) of the object of the target type and is mentioned It takes.Under the provincial characteristics and preset provincial characteristics (target signature) matched situation of extraction, determines in coverage and include Predetermined object.
Optionally, server can identify the image of smart machine acquisition in the following manner, determine that determination currently makes Movable goal activities type performed by target object with smart machine: smart machine is obtained using login banner and is acquired The second image of one or more, wherein the second image is used to indicate performed by the target object of currently used smart machine Movable goal activities type;Identify movable goal activities class performed by target object in one or more second images Type.
Above-mentioned technical proposal through the embodiment of the present invention, server are determined by the image that identification intelligent equipment acquires Movable goal activities type performed by the target object of currently used smart machine, it is ensured that definitive result it is accurate Property, and remaining operation due to not needing user, provide the universality of request processing method.
Server determine image used in goal activities type can there are many.For example, request message can received The nearest one or more images received from the smart machine before.Since certain Activity Types only pass through an image Accurate judgement can not be carried out, therefore, certain activity scenes (for example, Yoga etc.) are needed multiple images is combined to judge. When that can not judge goal activities type by the image before reception request message, it is also contemplated that according to receive request message it The image received afterwards judges goal activities type.In another example can also be set after receiving request message to intelligence The standby acquisition image uploaded is monitored, and is judged according to testing result goal activities type.
Optionally, obtaining smart machine one or more second images collected using login banner may include: benefit With login banner, searched and matched one or more second images of login banner from image data base, wherein image data Different login banner institutes acquired image is stored in library, the acquisition time of one or more second images, which is in, receives request Within first time range before message.
The acquisition image that different intelligent equipment uploads can be stored by image data base, and passes through different login banners It distinguishes.Login banner can be used, searched from image data base and the matched one or more images of login banner.
Above-mentioned technical proposal through the embodiment of the present invention, by obtaining one or more second images from image data base Mode, the acquisition efficiency of the second image can be improved, to improve the response speed of request message.Meanwhile passing through setting First time range, ensure that the timeliness of the second image of acquisition, and then ensure that the validity of target scene type identification.
Optionally, obtaining smart machine one or more second images collected using login banner can also include: Using login banner, one or more second images are received from smart machine, wherein when the acquisition of one or more second images Between in receive request message after the second time range within.
After receiving request message, or matched one or more second figures are not found in image data base As after, login banner can use, receive one or more second images from smart machine.
By login banner and send the login banner that carries in the message of image and carry out matched mode, receive with What the connected equipment of server uploaded carries the message when equipment collects acquisition image, and server may determine that the message Whether the login banner carried in the login banner of middle carrying and request message matches, and in the event of a match, determines the request It is that the smart machine is sent, and the acquisition image of its carrying is obtained from message.The acquisition image of acquisition is second figure Picture.
Above-mentioned technical proposal through the embodiment of the present invention, by obtaining one or more second images from smart machine Mode, can be improved the second image acquisition accuracy.Meanwhile by the way that the second time range is arranged, the of acquisition ensure that The timeliness of two images, and then ensure that the validity of target scene type identification.
When identifying goal activities type, server can execute image recognition operations to one or more second images, Determine Activity Type corresponding to the second image of one or more.
Server may include: to the processing of image
(1) image procossing
Image is analyzed using computer, to reach required result;Image procossing herein refers to Digital Image Processing, Dependent on software realization.The purpose is to remove interference, noise, original image is programmed and carries out feature extraction.It mainly include image Sampling, image enhancement, image restoration, image coding and compression, image segmentation.
(2) image recognition
Image recognition specifically includes that image characteristics extraction, image classification.
For example, as shown in figure 3, server carries out image procossing, including image preprocessing and image to input picture first Segmentation, obtains pixel image.By carrying out image characteristics extraction and image distribution to pixel image, pixel image is known Not.
By aforesaid operations, server is handled and is identified to image, can detecte locating for user behavior and user Environment (goal activities type).
In step S206, with the matched mapping relations of login banner, determining and target audio type and target are living The target audio preference parameters that dynamic type matches.
Above-mentioned mapping relations can be stored by way of target database.In target database storage from it is different Mapping relations corresponding to login banner, mapping relations corresponding to different marks, can store in different mapping relations In table.In mapping table corresponding with specific identifier, specific audio type, specific activities type and specific audio are contained The mapping relations of preference parameters indicate that under specific activities type, user corresponding with specific identifier is to specific audio type Preference parameters are specific audio preference parameters.
Above-mentioned mapping relations can be determined according to the data that smart machine uploads.
Server can periodically receive the acquisition image that smart machine reports, and identify the reference pair in acquisition image As performed Activity Type, if identify acquisition image in references object (can be same target with target object, Can be different objects) Activity Type be one of preset Activity Type, then further judge to live currently Under dynamic type, hobby of the user to audio data.
The foundation of above-mentioned judgement can be smart machine and pass through the audio that input-output equipment (for example, microphone) is got Data are also possible to the currently playing audio data of smart machine.
Optionally, smart machine the first image collected is received;It identifies performed by the references object in the first image Movable first Activity Type;Receive smart machine reference audio data collected;And/or determine that smart machine is current The reference audio data of broadcasting;Identify the first audio types belonging to reference audio data and corresponding with the first audio types The first audio preference parameters;By the first Activity Type, the first audio types and the first audio preference parameters, it is stored in and logs in It identifies in matched mapping relations.
Above-mentioned technical proposal through the embodiment of the present invention, by acquiring image information and audio from smart machine come really The fixed and matched mapping relations of smart machine login banner ensure that the accuracy that mapping relations determine.Further, due to Image is first acquired, rear that mode for acquiring audio data can reduce to avoid unnecessary audio collection to smart machine The occupancy of resource.
Optionally, after identifying movable first Activity Type performed by the references object in the first image, In the case that first Activity Type is reading activities, object being read corresponding with reading activities is identified from the first image Reading preference parameters, wherein reading activities are corresponding with the second audio types;With in the matched mapping relations of login banner Save at least one of: the first Activity Type, the second audio types and reading preference parameters;Second Activity Type, the second sound Frequency type and reading preference parameters, wherein the first Activity Type is different from the second Activity Type.
Since reading activities can be corresponding with audio types (for example, story), and read preference type and can reflect Audio preference parameters of the user to the audio data of the audio types.It therefore, can be by being reading activities in Activity Type In the case of, it identifies object being read, is determined according to the content of object being read and read preference parameters.
Above-mentioned reading preference parameters can be carried out according to the image feature information of pixel image corresponding with object being read Analysis determination.Above-mentioned image feature information can be the text letter identified from pixel image corresponding with object being read It ceases (for example, body matter, books title etc.), is determined by text information and read preference parameters, can also be according to text information The title for determining object being read determines by obtaining label corresponding to the data with the title and reads preference parameters.
Optionally, the reading preference parameters packet of object being read corresponding with reading activities is identified from the first image It includes: image segmentation being carried out to the first image, obtains multiple pixel images;From multiple pixel images, determine comprising being read The goal pels image of object;From goal pels image, image feature information corresponding with object being read is identified;Root According to image feature information, the reading preference parameters of object being read are determined.
It, can be by the in the case where identifying that Activity Type is reading activities and has got and read preference parameters Two audio types (corresponding with reading activities) and reading preference parameters are added in mapping relations together with a certain Activity Type.
Above-mentioned technical proposal through the embodiment of the present invention, by identifying object being read corresponding with reading activities Preference parameters are read, and by the second audio types (corresponding with reading activities) and read preference parameters together with a certain Activity Type It is added in mapping relations, improves the flexible of user preferences recommendation.Further, by carrying out image segmentation to the first image And feature information extraction is carried out to the pixel image comprising object being read, the resource for reducing object being read analysis accounts for With.
After mapping relations creation is completed, can in the matched mapping relations of login banner, determining and target sound The target audio preference parameters that frequency type and goal activities type match.
In step S208, the target audio data of the target audio type with target audio preference parameters are sent to Smart machine.
After determining target audio preference parameters, can be used the target audio preference parameters from target audio type It is searched in corresponding audio database, to search the target audio of the target audio type with target audio preference parameters Data.
It optionally, can be right according to historical operating data in the case where target audio data include multiple audio datas Multiple audio datas are ranked up, and obtain ranking results, wherein historical operating data is broadcast for indicating to by smart machine Operation performed by the history audio data put;The target audio data of target audio type with audio preference parameters are sent out Giving smart machine includes: that multiple audio datas are sent to smart machine according to sequence indicated by ranking results.
Above-mentioned historical operating data is used to indicate to behaviour performed by the history audio data played by smart machine Make.Aforesaid operations can include but is not limited to: repeatedly playing, cuts song.Above-mentioned sequence can be commented according to the basis of each audio data Divide and the additional scoring of historical operating data is ranked up each audio data.Basic score can be true according at least one of It is fixed: to read temperature, the degree of correlation with target audio preference parameters.What additional scoring can be reflected according to historical operation behavior Audio fancy grade is determined.For example, one can be added on the basis of basic score for the audio data repeatedly played Positive added value.For being cut the audio data of song, a negative added value can be added on the basis of basic score.
It, can be according to the sequence indicated by ranking results, by multiple audios after being ranked up to multiple audio datas Data are sent to smart machine.The mode of above-mentioned transmission can be the primary transmission for completing all audio frequency data, be also possible to one Secondary transmitting portion audio data.Specific sending method, the present embodiment are not specifically limited.
Above-mentioned technical proposal through the embodiment of the present invention arranges multiple audio datas according to historical operating data Sequence can adjust the playing sequence of audio data, the hobby for the user that more puts in marks, to improve use according to the hobby dynamic of user Family experience.
Request processing method provided in the application is illustrated below with reference to following example.Request in this example Processing method is related to the interaction of household electrical appliances (smart machine) and server.As shown in figure 4, above-mentioned request processing method includes following step It is rapid:
Step S402 passes through the camera collection image built in household electrical appliances.
Software and hardware needed for household electrical appliances are built-in with camera, video procession, communication module (communication device, for example, day Line), voice module (voice outputs and inputs device, for example, microphone and loudspeaker).It, can by the camera built in household electrical appliances With the image information in acquisition camera coverage, image is obtained.
Step S404, server are handled and are identified to image, and user behavior and locating environment are detected.
The image that server can upload household electrical appliances is handled and is identified, is detected user behavior (Activity Type) and locating Environment.
Step S406, judges whether user is reading a book, if so, step S408 is executed, otherwise, to this image analysis knot Beam carries out next image and is analyzed.
Step S408, judges whether user is reading a book, if so, executing step S410, otherwise, executes step S412.
Step S410 identifies music type, is put into user preferences library.
Step S412 identifies books type, is put into user preferences library.
If detecting that user is reading, continues to identify books title, be put into user preferences library;If user is Song is listened, types of songs is identified, is put into user preferences library.
Favorite books type can be identified based on image function under user's reading scene, passed through image (video) and known Others' object and its movement, and be put into user and read hobby library.By speech recognition song title, and then record user's reading scene Under music type being played on, be put into user read hobby library.
User listens song that can detect by two methods:
Method one: user's control household electrical appliances are playing music, which is user's current scene happiness melodious music.
Method two: microphone collects the music VF of user's broadcasting, identifies that song title (is listened by speech recognition technology Qu Shiming), which is user's current scene happiness melodious music.
The field in user preferences library (mapping relations) can include but is not limited to: scene (Activity Type), demand (target sound Frequency type) and hobby (audio preference parameters).One scene corresponds to multiple demands, the corresponding hobby of a demand, wherein
Story preference type: such as science fiction, love story, fantasy novel, chicken soup text etc.
Musical taste type: disco, rock music, pop music, classical music etc., the big type of every kind of music have subdivision Class.It is calculated with disaggregated classification.
For example, the field in user preferences library can be as shown in Table 1 and Table 2.
Table 1
Table 2
Step S414, user input related needs by voice.
Step S416 recommends again after being modified according to user preferences library.
When next household electrical appliances detect that user is under reading scene, user inputs related needs by voice, should basis User preferences library carries out modified result.
Listen story demand: user inputs " I will listen to storytelling ", and user preferences library indicates that user preferences see fantasy novel, then recommends The relevant books of fantasy;
Listen to music demand: " I will listen to music " " plays youth curative music according to your previous viewing behavior for you " song A " ".
By this example, due to using image and voice technology identify and records the daily reading of user and likes, into Row more agrees with the demand of user when recommending, keep household electrical appliances more intelligent.
It should be noted that for the various method embodiments described above, for simple description, therefore, it is stated as a series of Combination of actions, but those skilled in the art should understand that, the present invention is not limited by the sequence of acts described because According to the present invention, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know It knows, the embodiments described in the specification are all preferred embodiments, and related actions and modules is not necessarily of the invention It is necessary.
Other side according to an embodiment of the present invention additionally provides a kind of for implementing asking for above-mentioned request processing method Processing unit is sought, as shown in figure 5, the device includes:
(1) first receiving module 502, for receiving the request message of smart machine transmission, wherein request message is for asking The audio data of target audio type is sought, the login banner for logging in smart machine is carried in request message;
(2) first determining modules 504 are connected to the first receiving module 502, are used for response request message, and determination currently makes Movable goal activities type performed by target object with smart machine;
(3) second determining modules 506 are connected to the first determining module 504, for closing with the matched mapping of login banner In system, the determining target audio preference parameters to match with target audio type and goal activities type;
(4) sending module 508 are connected to the second determining module 506, for that will have the target of target audio preference parameters The target audio data of audio types are sent to smart machine.
Optionally, the first receiving module 502 can be used for executing above-mentioned steps S202, and the first determining module 504 can be used In executing above-mentioned steps S204, the second determining module 506 can be used for executing above-mentioned steps S206, and sending module 508 can be used In execute above-mentioned steps S208,.
Optionally, above-mentioned apparatus can also include:
(1) second receiving module is adopted for before receiving the request message that smart machine is sent, receiving smart machine First image of collection;
(2) first identification modules, are connected to the second receiving module, and the references object out in the first image is held for identification Capable movable first Activity Type;
(3) third receiving module is connected to the second receiving module, for receiving smart machine reference audio number collected According to;And/or third determining module, for determining the currently playing reference audio data of smart machine;
(4) second identification modules, are connected to third receiving module, for identification the first sound belonging to reference audio data out Frequency type and the first audio preference parameters corresponding with the first audio types;
(5) first preserving modules, are connected to the second identification module, for by the first Activity Type, the first audio types and First audio preference parameters, be stored in in the matched mapping relations of login banner.
Optionally, above-mentioned apparatus may include:
(1) third identification module, for identifying movable first work performed by the references object in the first image After dynamic type, in the case where the first Activity Type is reading activities, identified from the first image opposite with reading activities The reading preference parameters for the object being read answered, wherein reading activities are corresponding with the second audio types;
(2) second preserving modules, are connected to third identification module, for protected in the matched mapping relations of login banner Deposit at least one of: the first Activity Type, the second audio types and reading preference parameters;Second Activity Type, the second audio Type and reading preference parameters, wherein the first Activity Type is different from the second Activity Type.
Optionally, third identification module includes:
(1) image segmentation unit obtains multiple pixel images for carrying out image segmentation to the first image;
(2) first determination units, are connected to image segmentation unit, for from multiple pixel images, determining comprising quilt The goal pels image of reading object;
(3) first recognition units, are connected to the first determination unit, for identifying and being read from goal pels image Read the corresponding image feature information of object;
(4) second determination units, are connected to the first recognition unit, for determining to be read according to image feature information The reading preference parameters of object.
Optionally, the first determining module includes:
(1) acquiring unit, for obtaining smart machine one or more second images collected using login banner, In, the second image is used to indicate movable goal activities type performed by the target object of currently used smart machine;
(2) second recognition units, are connected to acquiring unit, for identification target object institute in one or more second images The movable goal activities type executed.
Optionally, acquiring unit includes:
(1) subelement is searched, for utilizing login banner, is searched and login banner matched one from image data base Or multiple second images, wherein it is stored with different login banner institutes acquired image in image data base, one or more the The acquisition time of two images is within the first time range before receiving request message;And/or
(2) receiving subelement is connected to lookup subelement, for utilize login banner, from smart machine receive one or Multiple second images, wherein the acquisition time of one or more second images is in the second time received after request message Within range.
Optionally, above-mentioned apparatus further include: sorting module, sending module include: transmission unit, wherein
(1) sorting module, for the target audio data transmission in the target audio type that will have audio preference parameters Before smart machine, in the case where target audio data include multiple audio datas, according to historical operating data, to multiple Audio data is ranked up, and obtains ranking results, wherein historical operating data is used to indicate to be played to passing through smart machine Operation performed by history audio data;
(2) transmission unit, for multiple audio datas being sent to intelligence and are set according to sequence indicated by ranking results It is standby.
The another aspect of embodiment according to the present invention, additionally provides a kind of storage medium.It is stored in the storage medium Computer program, wherein the computer program is arranged to execute the step in any of the above-described embodiment of the method when operation.
Optionally, in the present embodiment, above-mentioned storage medium can be set to store by executing based on following steps Calculation machine program:
S1 receives the request message that smart machine is sent, wherein request message is used for the audio of request target audio types Data carry the login banner for logging in smart machine in request message;
S2, response request message determine movable goal activities performed by the target object of currently used smart machine Type;
S3, in the matched mapping relations of login banner, determining and target audio type and goal activities type phase The target audio preference parameters matched;
The target audio data of target audio type with target audio preference parameters are sent to smart machine by S4.
Optionally, in the present embodiment, those of ordinary skill in the art will appreciate that in the various methods of above-described embodiment All or part of the steps be that the relevant hardware of terminal device can be instructed to complete by program, the program can store in In one computer readable storage medium, storage medium may include: flash disk, read-only memory (Read-Only Memory, letter Referred to as ROM), random access device (Random Access Memory, referred to as RAM), disk or CD etc..
Another aspect according to an embodiment of the present invention additionally provides a kind of electronics dress for implementing above-mentioned object method It sets, as shown in fig. 6, the electronic device includes: processor 606, memory 604, display 606, transmitting device 608 etc..This is deposited Computer program is stored in reservoir, which is arranged to execute any of the above-described embodiment of the method by computer program In step.
Optionally, in the present embodiment, above-mentioned electronic device can be with intelligent terminal.
Optionally, in the present embodiment, above-mentioned processor can be set to execute following steps by computer program:
S1 receives the request message that smart machine is sent, wherein request message is used for the audio of request target audio types Data carry the login banner for logging in smart machine in request message;
S2, response request message determine movable goal activities performed by the target object of currently used smart machine Type;
S3, in the matched mapping relations of login banner, determining and target audio type and goal activities type phase The target audio preference parameters matched;
The target audio data of target audio type with target audio preference parameters are sent to smart machine by S4.
Optionally, it will appreciated by the skilled person that structure shown in fig. 6 is only to illustrate, electronic device can also To be smart phone (such as Android phone, iOS mobile phone), tablet computer, palm PC and mobile internet device The terminal devices such as (Mobile Internet Devices, referred to as MID), PAD.Fig. 6 its not to the knot of above-mentioned electronic device It is configured to limit.For example, electronic device may also include the more or less component (such as network interface) than shown in Fig. 6, Or with the configuration different from shown in Fig. 6.
Wherein, memory 604 can be used for storing software program and module, such as the request processing side in the embodiment of the present invention Method and the corresponding program instruction/module of device, processor 602 by the software program that is stored in memory 604 of operation and Module realizes above-mentioned request processing method thereby executing various function application and data processing.Memory 604 may include High speed random access memory, can also include nonvolatile memory, as one or more magnetic storage device, flash memory or Other non-volatile solid state memories.In some instances, memory 604 can further comprise long-range relative to processor 602 The memory of setting, these remote memories can pass through network connection to terminal.The example of above-mentioned network includes but is not limited to Internet, intranet, local area network, mobile radio communication and combinations thereof.
606 displaying target display interface of aforementioned display device.Above-mentioned transmitting device 606 be used to receive via network or Person sends data.Above-mentioned network specific example may include cable network and wireless network.In an example, transmitting device 608 include a NIC, can be connected by cable with other network equipments with router so as to internet or local area network into Row communication.In an example, transmitting device 608 is RF module, is used to wirelessly be communicated with internet.
If the integrated unit in above-described embodiment is realized in the form of SFU software functional unit and as independent product When selling or using, it can store in above-mentioned computer-readable storage medium.Based on this understanding, skill of the invention Substantially all or part of the part that contributes to existing technology or the technical solution can be with soft in other words for art scheme The form of part product embodies, which is stored in a storage medium, including some instructions are used so that one Platform or multiple stage computers equipment (can be personal computer, server or network equipment etc.) execute each embodiment institute of the present invention State all or part of the steps of method.
In the above embodiment of the invention, it all emphasizes particularly on different fields to the description of each embodiment, does not have in some embodiment The part of detailed description, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed client, it can be by others side Formula is realized.Wherein, the apparatus embodiments described above are merely exemplary, such as the division of the unit, and only one Kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or components can combine or It is desirably integrated into another system, or some features can be ignored or not executed.Another point, it is shown or discussed it is mutual it Between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication link of unit or module It connects, can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme 's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list Member both can take the form of hardware realization, can also realize in the form of software functional units.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered It is considered as protection scope of the present invention.

Claims (17)

1. a kind of request processing method characterized by comprising
Receive the request message that smart machine is sent, wherein the request message is used for the audio number of request target audio types According to carrying the login banner for logging in the smart machine in the request message;
The request message is responded, determines movable goal activities performed by the target object of the currently used smart machine Type;
With the matched mapping relations of the login banner, determine and the target audio type and the goal activities type The target audio preference parameters to match;
The target audio data of the target audio type with the target audio preference parameters are sent to the intelligence Equipment.
2. the method according to claim 1, wherein receive smart machine send the request message it Before, the method also includes:
Receive the smart machine the first image collected;
Identify movable first Activity Type performed by the references object in the first image;
Receive smart machine reference audio data collected;And/or determine the currently playing reference of the smart machine Audio data;
Identify the first audio types belonging to the reference audio data and with first audio types corresponding first Audio preference parameters;
By first Activity Type, first audio types and the first audio preference parameters, it is stored in and is stepped on described Record identifies in the matched mapping relations.
3. according to the method described in claim 2, it is characterized in that, identifying the references object in the first image After performed movable first Activity Type, the method also includes:
In the case where first Activity Type is reading activities, identified from the first image and the reading activities The reading preference parameters of corresponding object being read, wherein the reading activities are corresponding with the second audio types;
With save at least one of in the matched mapping relations of the login banner: first Activity Type, institute State the second audio types and the reading preference parameters;Second Activity Type, second audio types and reading hobby Parameter, wherein first Activity Type is different from second Activity Type.
4. according to the method described in claim 3, it is characterized in that, being identified from the first image and the reading activities The reading preference parameters of the corresponding object being read include:
Image segmentation is carried out to the first image, obtains multiple pixel images;
From the multiple pixel image, the goal pels image comprising the object being read is determined;
From the goal pels image, image feature information corresponding with the object being read is identified;
According to described image characteristic information, the reading preference parameters of the object being read are determined.
5. the method according to claim 1, wherein determining the target pair of the currently used smart machine As the performed movable goal activities type includes:
Smart machine one or more second images collected are obtained using the login banner, wherein described second Image is used to indicate the movable goal activities type performed by the target object of the currently used smart machine;
Identify the movable goal activities type performed by target object described in one or more of second images.
6. according to the method described in claim 5, being adopted it is characterized in that, obtaining the smart machine using the login banner Collection one or more of second images include:
Using the login banner, searched and the login banner matched one or more of second from image data base Image, wherein it is stored with different login banner institutes acquired image in described image database, one or more of second The acquisition time of image is within the first time range before receiving the request message;And/or
Using the login banner, receive one or more of second images from the smart machine, wherein it is one or The acquisition time of multiple second images is within the second time range after receiving the request message.
7. the method according to claim 1, wherein
The target audio data for the target audio type for having the audio preference parameters are being sent to the intelligence Before energy equipment, the method also includes: in the case where the target audio data include multiple audio datas, according to history Operation data is ranked up the multiple audio data, obtains ranking results, wherein the historical operating data is used for table Show to operation performed by the history audio data played by the smart machine;
The target audio data of the target audio type with the target audio preference parameters are sent to described Smart machine includes: that the multiple audio data is sent to the intelligence and is set according to sequence indicated by the ranking results It is standby.
8. method according to any one of claim 1 to 7, which is characterized in that
The goal activities type is at least one of: being read, movement, Yoga, sleep;
The target audio type is at least one of: music, story;
The target audio preference parameters are audio tag possessed by the target audio data.
9. a kind of request processing unit characterized by comprising
First receiving module, for receiving the request message of smart machine transmission, wherein the request message is used for request target The audio data of audio types carries the login banner for logging in the smart machine in the request message;
First determining module determines that the target object of the currently used smart machine is held for responding the request message Capable movable goal activities type;
Second determining module, for determining and the target audio type with the matched mapping relations of the login banner The target audio preference parameters to match with the goal activities type;
Sending module, for that will have the target audio data of the target audio type of target audio preference parameters hair Give the smart machine.
10. device according to claim 9, which is characterized in that described device further include:
Second receiving module, for receiving the smart machine institute before receiving the request message that smart machine is sent First image of acquisition;
First identification module, for identification movable first activity class performed by the references object in the first image out Type;
Third receiving module, for receiving smart machine reference audio data collected;And/or third determining module, For determining the currently playing reference audio data of the smart machine;
Second identification module, for identification out the first audio types belonging to the reference audio data and with first audio The corresponding first audio preference parameters of type;
First preserving module is joined for liking first Activity Type, first audio types and first audio Number, be stored in in the matched mapping relations of the login banner.
11. device according to claim 10, which is characterized in that described device further include:
Third identification module, for identifying movable described performed by the references object in the first image After one Activity Type, first Activity Type be reading activities in the case where, identified from the first image with The reading preference parameters of the corresponding object being read of the reading activities, wherein the reading activities and the second audio types It is corresponding;
Second preserving module, for save at least one of in the matched mapping relations of the login banner: institute State the first Activity Type, second audio types and the reading preference parameters;Second Activity Type, second audio class Type and the reading preference parameters, wherein first Activity Type is different from second Activity Type.
12. device according to claim 11, which is characterized in that the third identification module includes:
Image segmentation unit obtains multiple pixel images for carrying out image segmentation to the first image;
First determination unit, for determining the goal pels comprising the object being read from the multiple pixel image Image;
First recognition unit, for identifying image corresponding with the object being read from the goal pels image Characteristic information;
Second determination unit, for determining the reading hobby of the object being read according to described image characteristic information Parameter.
13. device according to claim 9, which is characterized in that the first determining module includes:
Acquiring unit, for obtaining smart machine one or more second images collected using the login banner, Wherein, second image is used to indicate the movable target performed by the target object of the currently used smart machine Activity Type;
Second recognition unit, for identification movable institute performed by target object described in one or more of second images State goal activities type.
14. device according to claim 13, which is characterized in that the acquiring unit includes:
Subelement is searched, for utilizing the login banner, is searched and the matched institute of the login banner from image data base State one or more second images, wherein different login banner institutes acquired image, institute are stored in described image database The acquisition time for stating one or more second images is within the first time range before receiving the request message;With/ Or,
Receiving subelement receives one or more of second images from the smart machine for utilizing the login banner, Wherein, the acquisition time of one or more of second images be in the second time range after receiving the request message with It is interior.
15. according to the described in any item devices of claim 9 to 14, which is characterized in that described device further include: sorting module, The sending module includes: transmission unit, wherein
The sorting module, for the target in the target audio type that will have the target audio preference parameters Audio data is sent to before the smart machine, in the case where the target audio data include multiple audio datas, root According to historical operating data, the multiple audio data is ranked up, ranking results are obtained, wherein the historical operating data For indicating to operation performed by the history audio data played by the smart machine;
The transmission unit, for according to sequence indicated by the ranking results, the multiple audio data to be sent to institute State smart machine.
16. a kind of storage medium, which is characterized in that be stored with computer program in the storage medium, wherein the computer Program is arranged to execute method described in any one of claim 1 to 8 when operation.
17. a kind of electronic device, including memory and processor, which is characterized in that be stored with computer journey in the memory Sequence, the processor are arranged to execute side described in any one of claim 1 to 8 by the computer program Method.
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