WO2015056929A1

WO2015056929A1 - File format for audio data transmission and configuration method therefor

Info

Publication number: WO2015056929A1
Application number: PCT/KR2014/009519
Authority: WO
Inventors: 천승문; 김원석; 고현철
Original assignee: (주)인시그널
Priority date: 2013-10-18
Filing date: 2014-10-10
Publication date: 2015-04-23

Abstract

A method for constructing descriptions for a lossless audio contents recommendation system is disclosed. According to one embodiment, these descriptions include a user description (UD) including usage history information on a user's lossless audio contents along with dynamic and static information about a user, a context description (CD) including context information of the lossless audio contents and environmental status information on where a user is located, and a service description (SD) including service information related to specifying a service of lossless audio contents service provider. Further, the lossless audio contents recommendation system generates a recommended description (RD) recommending a predetermined lossless audio contents provider selected on the basis of the user description by a user, the context description, and the service description and provides the RD to the user.

Description

File format for audio data transmission and its configuration method

The present invention relates to a file format for audio data transmission, and more particularly to a method for constructing descriptions for lossless audio contents recommendation system.

Recently, research and development related to big data is actively progressing. Big data research includes technologies related to data collection, classification, processing and storage, as well as technologies to provide customized services. As a customized service, research and development of a recommendation system for wise selection of a user is also in progress, and an individual recommendation system is adopted and commercialized in connection with a specific service such as Internet TV or a search service.

The recommendation system involves a lot of research and costs during the development process. The internal structure and recommendation method of the recommendation system may vary depending on the system developer or the policy. In addition, the quality or satisfaction of the service by the recommendation result of the recommendation system may vary depending on the provider and / or the user. However, users do not have a way or an opportunity to choose a recommendation service that best suits their needs, and in most cases it is combined with other services (for example, the initiative, mail / cloud service, etc.) Is being provided.

In this situation, if the recommendation system and the interface of the service using the recommendation system are standardized, there may be various recommendation systems competing for the same service, and the user may select a desired recommendation system from a plurality of recommendation systems. . And if the providers of the original service use a standardized interface, various third-party recommendation service providers may configure their own recommendation engines to provide services in free competition.

For example, if a service interface using a recommendation system is standardized, and a user wants to provide an audio content recommendation service for services providing lossless and / or lost audio content, a variety of audio content service providers may provide a specific user. There are a number of recommendation systems that can provide optimized service providers to provide services independently of the audio content service providers. The user can select a desired recommendation system from among a plurality of recommendation systems, and can also receive an audio content service from a service provider who is recommended by the selected recommendation system.

For these services, it is necessary to standardize and establish the interface between the entities related to the recommendation system. For example, at the 105th MPEG meeting in September 2013, a proposal for proposals for MPEG User Description (MPEGD) was issued, which indicates that MPEGUD is a User Description (Context Description), CD. ), Four main elements that are subject to standardization, such as Service Description (SD) and Recommendation Description (RD).

Until now, MPEG has standardized user narrative structures such as user preferences, user usage records, etc., and the usage environment narrative structure for adaptive use of media through MPEG7, MPEG21, MPEGV, and the like. These existing standards have been formulated with the specific purpose of more convenient use of media in their own unique usage environment. On the other hand, MPEGUD intends to provide a recommendation system that provides optimized recommendation information to the user by using general user information, context information, and service information that can be utilized in a wider range of recommendation engines / recommended environments.

However, in order to commercialize such a recommendation system, it is necessary to specify the composition of each description in consideration of various types of services. In particular, various types of content providing services, such as lossless audio services, may have different configurations or contents depending on the characteristics of the user as well as the characteristics of the service, as well as the characteristics of the contents. In order to define an optimized recommendation service through users, the necessity of specifying the configuration of user description, context description, and service description is increased.

One problem to be solved by the present invention is to provide a method for constructing various descriptions suitable for a lossless audio content recommendation system.

Another problem to be solved by the present invention is to provide a method for constructing descriptions essential for standardizing a system for recommending lossless audio content.

Another problem to be solved by the present invention is to provide a method for constructing descriptions for a system for recommending lossless audio content so that users of lossless audio can quickly and easily access and search for the content they need.

A method of constructing descriptions for a lossless audio content recommendation system according to an embodiment of the present invention for solving the above problems is a method of constructing and configuring descriptions input to a lossless audio content recommendation system according to a predetermined scheme. The descriptions include a user description (UD) that includes usage history information about the user's lossless audio content, along with dynamic and static information about the user; A context description (CD) including context information of the lossless audio content and environmental context information in which the user is located; And a service description (SD) including relevant service information that specifies a service of the lossless audio content service provider, wherein the lossless audio content recommendation system includes the user description of the user, the context description, and the service description. Generate a recommendation description (RD) that recommends a predetermined lossless audio content provider selected on the basis of the selected content.

According to an aspect of the embodiment, the user description includes an attribute field and an information field, wherein the information field includes user ID information, user profile information, history information, preference information, emotion information, schedule information, activity information, multimedia Type information, intention information, and priority service information. In this case, the preference information may include user preference information, audio presentation preference information, display presentation preference information, graphic presentation preference information, lossless audio presentation preference information, service preference information, translation preference information, interest media information, and It may include one or more information from the preference description information.

According to another aspect of the embodiment, the context description includes an attribute field and an information field, wherein the information field includes context identifier information, valid duration information, season information, device characteristic information, network information, location information, weather information, It may include one or more pieces of information among environment information, lossless audio environment information, and priority information.

According to another aspect of the embodiment, the service description includes an attribute field and an information field, and the information field includes service general information, service target information, service interface information, internal service information, priority, and service availability information. It may include one or more of the. In this case, the information field may include lossless audio database information, and the lossless audio database information may include at least one of a title, a singer, a music author, a music type, a music first measure, and a user access history.

According to the embodiment of the present invention described above, it is possible to standardize a lossless audio content recommendation system by structuring and describing the configuration of UD, CD, and SD. In addition, a user using the lossless audio content recommendation system may use a service of a lossless audio content provider that is optimized for him and may use a desired service quickly and easily. For example, a user may quickly search for and download a lossless audio content that he / she desires, or may receive a streaming service.

1 is a block diagram showing the correlation between descriptions constructed according to a description configuration method according to an embodiment of the present invention.

2 is a diagram schematically illustrating a role and a service flow between a content producer and a user centered on a service provider to perform a lossless audio content service.

FIG. 3 is a diagram schematically illustrating a flow of descriptions transmitted and received through a recommendation engine in providing a service for lossless audio content in a recommendation system according to MPEGUD.

4 is a block diagram schematically showing an example of a format for configuring a lossless audio content file in accordance with the foregoing.

FIG. 5 is a flowchart illustrating an example of a priority step for a selection menu provided to a user by an internet search engine or a service provider to easily implement a search model using UD, CD, SD, and RD information.

6 is a flowchart illustrating an example of a recommendation procedure of a lossless audio content service provided based on the recommendation system of FIG. 1.

7 is a diagram illustrating an example of a structure of a structured UD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention.

8 is a diagram illustrating an example of a structure of a structured CD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention.

9 is a diagram illustrating an example of a structure of a structured SD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention.

10 and 11 are diagrams illustrating another example of a structure of a structured UD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention. The figure shows a field.

FIG. 12 is a diagram illustrating an example of a configuration of an information field in the UD description illustrated in FIG. 10.

FIG. 13 is a diagram illustrating an example of a configuration of a service request field in the UD description illustrated in FIG. 10.

FIG. 14 is a diagram illustrating an example of a configuration of a preferred content type server field in a service request field of the UD description illustrated in FIG. 13.

15 and 16 are diagrams illustrating another example of the structure of the structured CD description configured according to the description configuration method for the lossless audio content recommendation system according to an embodiment of the present invention.

FIG. 17 is a diagram illustrating an example of a configuration of a multimedia detailed attribute information field in the CD description illustrated in FIG. 16.

FIG. 18 is a diagram illustrating another example of a structure of a structured SD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention. FIG. 18 is a view illustrating an attribute field in an SD description. to be.

FIG. 19 is a diagram illustrating another example of a structure of a structured SD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention, wherein an SD field is excluded from an attribute field. FIG. It shows the structure of another field.

20 is a diagram illustrating an example of a configuration of a multimedia database field in the SD description illustrated in FIG. 19.

FIG. 21 is a diagram illustrating an example of a configuration of a lossless audio database subfield in the multimedia database field illustrated in FIG. 20.

FIG. 22 is a diagram illustrating another example of a structure of a structured UD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention.

FIG. 23 is a diagram illustrating another example of the structure of a structured CD description configured according to the description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention.

FIG. 24 is a diagram illustrating another example of a structure of a structured SD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention.

FIG. 25 is a diagram illustrating another example of a structure of a structured UD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention.

FIG. 26 is a diagram illustrating another example of the structure of a structured CD description configured according to the description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention.

FIG. 27 is a diagram illustrating another example of a structure of a structured SD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. Terms used in the following embodiments are terms selected in consideration of functions in the embodiments, and the meanings of the terms may vary according to intentions or customs of users or operators. Therefore, the meaning of the terms used herein, if specifically defined herein, will follow the definition, if there is no specific definition should be interpreted to mean generally recognized by those skilled in the art. In the following description, detailed descriptions of well-known functions or configurations will be omitted when it is determined that the technical spirit of the present invention may unnecessarily obscure the technical spirit of the present invention.

1 is a block diagram showing the correlation between descriptions constructed according to a description configuration method according to an embodiment of the present invention. More specifically, FIG. 1 illustrates the correlation between descriptions input and output through the recommendation system, ie, user description (UD), context description (CD), service description (SD), and recommendation description (RD).

Referring to FIG. 1, an application of a user requests a recommendation system for a lossless audio service from a recommendation system, that is, a recommendation engine. In addition, the UD manager, CD manager, and SD manager, which have received a request from the recommendation engine, are based on user information, information included in the request, and environment information, respectively, in the databases they manage (UD database, CD database, SD database). It forwards the user description (UD), context description (CD), and service description (SD) that match the request to the recommendation engine. The recommendation engine then provides the recommendation service, that is, the recommendation description RD, to the user's application based on the received user description UD, context description CD, and service description SD.

The provision of the recommendation service by this recommendation system, that is, the provision of the recommendation description RD by the recommendation engine may be embodied in the following shape, for example.

Recently, more audio enthusiasts enjoy hearing lossless audio. The audio enthusiast connects to a service provider (eg, a web site) that provides a lossless audio service, and downloads and listens to lossless audio content to his device (eg, a lossless audio-only mobile terminal). In a UD database, such as a user's smartphone or a lossless audio-only mobile terminal, records of the use of audio content services over the past few months are stored as part of the user description (UD). These records contain additional information that refers to the type of content that the user prefers, as well as information about the creator (singer, performer, etc.) when the audio content is selected.

The recommendation engine acquires the user's connection record such as the information of the user's preferred audio content and the number of downloads from the UD database, the downloaded content information, as well as the user's content selection criteria. An audio content service provider is connected to the content being used by the user. The service description (SD) indicates that the service provider can retrieve the lossless audio content information using the user's history information, access history, and content creator information. ) Is provided.

Based on this, the recommendation engine deduces the fact that the user searches and selects the content creator based on the important criteria, so that the lossless audio information he found and the access information (eg URL) of the lossless audio service provider providing the content creator search To the user's application as a recommended description (RD). The user's application can easily access the service provider providing lossless audio content based on the provided recommendation description (RD) and then easily obtain the lossless audio content desired by the user.

As can be seen from this example, the recommendation system to be standardized in the MPEGUD standard includes various elements. Of these, the four elements of user description (UD), context description (CD), service description (SD), and recommendation description (RD), namely the input and output of the recommendation engine, are within the scope of the standard. How to implement managers and recommendation engines is outside the scope of the standard. This is because if only the interface of the recommendation system is clearly defined, various standardized recommendation engines can be created, which leads to the development of technology. As a result, the MPEGUD standard seeks to standardize the minimum data format that can ensure compatibility between the recommendation engine and its surrounding components. In addition, embodiments of the present invention described below provide various methods of constructing descriptions according to the standardized data format.

An embodiment of the present invention to be described later is to enable to build a standardized lossless audio content recommendation system and also to allow the user to obtain or access the content quickly and easily through this. In order to implement this, the information inputted and outputted through the recommendation engine should be grouped and specified to standardize descriptions of services providing multiple lossless audio content services, as well as to standardize user information and environment information. The recommendation system uses this standardized information to deliver information about the user requesting the lossless audio content service and the service provider optimized for the environment at the time of request, thereby allowing the user to optimize the service (eg, lossless audio content). Download, streaming, etc.)

In addition, according to the present invention to be described later, for the lossless audio content service, the description contents defined in the production process of the lossless audio and the service provider can reconstruct the existing owned audio database by using data acquired by using the customer's usage information. have. According to this, it is possible to provide an environment in which a service provider can search and play desired content conveniently and quickly for the user.

2 is a diagram schematically illustrating a role and a service flow between a content producer and a user centered on a service provider to perform a lossless audio content service. Referring to FIG. 2, a content creator (personal creator, company creator) provides a user description (UD) and content (audio) to a service provider and obtains a profit, and a user (web consumer, mobile consumer) is a service provider. Ask for information or data (database audio, lossless audio). To this end, service providers have required servers or databases (lossless audio contents provider / server, lossless audio database system).

FIG. 3 is a diagram schematically illustrating a flow of descriptions transmitted and received through a recommendation engine in providing a service for lossless audio content in a recommendation system according to MPEGUD. Although the recommendation engine is shown in FIG. 3 as being associated with a recommendation description (RD), this is merely for convenience of illustration and substantially different descriptions: user description (UD), context description (CD), and service description (SD). Is also associated with the recommendation engine. That is, UDs, CDs, and SDs (more specifically, information contained therein) structured according to a standardized format are input to the recommendation engine, and the recommendation engine selects a service optimized for the user based on the recommendation engine and outputs the result. Provide it to the user as an RD.

The user description (UD) basically includes an ID (ID) and a password (PW), and may also include an e-mail and an assigned user management number. In addition, the user's age, nationality, gender, language, and preferred music may be included in the UD. In addition, the user's history of service is also included in the UD. All or part of the information included in the UD may be combined with the SD and the CD to be used by the service provider (recommended system) to select a lossless audio content service provider optimized for the user.

The context description (CD) contains information related to the environment in which the user uses the service, and in the case of a lossless audio service, also includes information related to the lossless audio production environment. More specifically, the CD includes information related to the device required for playing lossless audio or an environment for producing lossless audio content, and also includes a detailed description of lossless audio. For example, apart from the author who writes and composes music, a production environment such as a performer and a performance environment may be included as well as information related to the producer. Such information may be used to select lossless audio content in consideration of a user's preference or actual production environment. This lossless audio detail may be utilized by service providers to provide new databases.

Referring to FIG. 3, user history information and basic information (management number, e-mail information, etc.) are transmitted in the process of using the UD, and environmental information and lossless audio detailed information are transmitted in the process of using the CD. And on SD it also rebuilds a lossless audio database. The reconstruction of the database may be performed at predetermined intervals, and information necessary for this may be provided through a UD, a CD, or the like. The reconstruction of such a database proceeds from the point of view of allowing a user to quickly receive a useful service. Based on this, it is possible to determine whether the service provider's service providing environment is suitable for the user's needs. Service providers must develop their own good recommendation engines, which can be a criterion for evaluating service providers.

According to an embodiment of the present invention, a specific method of configuring UD, CD, and SD for a lossless audio recommendation system is proposed. Lossless audio files are large files ranging from as little as 20 Mbytes to as much as 90 Gbytes or more. On the other hand, the capacity of a user's desktop PC or mobile electronic device is limited. And even an audio sung by the same title and the same singer may have a file size that varies from several times to hundreds of times. The circumstances and methods of producing lossless audio content may be different.

It is inconvenient for the user of the TV remote control to select a menu of several levels, and the menu of more than 4 to 5 levels is not used. In particular, the smart TV includes more menus, and accordingly, the process of selecting a desired menu may be complicated and may increase the number of steps. In any case, however, setting the menu to four or more steps may cause inconvenience to the user and is not easily employed.

This principle is equally applicable to the method of constructing a recommendation system for lossless audio. For example, in a lossless audio recommendation system, various methods have been proposed to allow a user to easily find desired content. An example may be a method of utilizing a tag to facilitate retrieval of all audio content files. Tags make it easy for service providers to find and select audio files. In this case, producers of lossless audio content also need to use standardized tags.

4 is a block diagram schematically showing an example of a format for configuring a lossless audio content file in accordance with the foregoing. Referring to FIG. 4, the file format may include UD, CD, SD, and RD as a header and include a tag, and the file including the tag may be a form of a file for an audio bitstream service. By adding the tag information selected by the service provider to all the lossless audio files, users can quickly and easily access the lossless audio content that the user wants to select.

FIG. 5 is a flowchart illustrating an example of a priority step for a selection menu provided to a user by an internet search engine or a service provider to easily implement a search model using UD, CD, SD, and RD information. Referring to FIG. 5, lossless audio is provided by the service provider by using the information derived from the network environment or during the business period as the priority of the selection menu by the user, among the detailed description information of the UD, CD, SD, and RD. It is possible to make content selection quick and easy.

Referring to FIG. 6, the recommendation system receives a predetermined request for lossless audio content from a user (S11). The received content request may include environment information, information about the user, as well as information about the content specific to the user. The recommendation system receiving the content request extracts the appropriate UD information and CD information from the UD database and the CD database (S12). The UD database and the CD database may store UDs and CDs (which will be described later) for a corresponding structured user configured according to a predetermined format, respectively. Alternatively, the recommendation system may collect information (included in the UD, CD) about the user and the environment or the like by storing or communicating with other entities. In this step, the recommendation system may extract appropriate UD information and CD information from the structured UD description and CD description based on the information about the content, environment, and user included in the received content request.

Subsequently, the recommendation system extracts appropriate SD information from the SD database based on the extracted UD information and CD information (S13). The SD database may store structured SD descriptions (described below) configured according to a predetermined format. In this step, the SD information extracted from the structured SD description may be information associated with a service provider capable of providing an optimized service to a corresponding user based on UD information and CD information. Finally, the recommendation system may generate and provide the RD information for the lossless audio content service provider to the user based on the extracted SD information (S14).

Hereinafter, a description will be given of the structure of the UD, CD, and SD descriptions according to an embodiment of the present invention that can be used in the recommendation procedure of such a lossless audio content service.

7 is a diagram illustrating an example of a structure of a structured UD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention. The UD description may include static and dynamic information about the user. In addition, the UD description may include information such as a user's usage history, preferences, and security settings related to the UD.

Referring to FIG. 7, the UD description includes user information (UserID), birthday (Birthday), gender (Gender), nationality (Country), language (UserLanguage), preferred music type (TypeOfFavoriteMusic), and user service history (HistoryOfService). can do. The user information may include an ID, a password, an email address, a phone number, a user management number, and the user service history may include a download date. ), The number of downloads, the type of lossless audio, and the like. And the meaning of the lossless audio UD description information included in the UD description of FIG. 7 is described in Table 1.

Table 1

Name	Definition
UserID	Provides a list of user's legal identities
Birthdate	Describes user's birthdate
Gender	Describes user's gender
Country	Describes the country of user
UserLanguage	Describes user's language
TypeOfFavoriteMusic	Describes user's fvorite music. Refer to Annex 1. type of music
HistoryOfService	Provides user's history of service
ID	Provides information on user's identities
PW	Provides information on user's password
E-mail	Provides information on user's e-mail
Phone	Provides information on user's phone number
UserManagementNumber	Provides information on user's management number

8 is a diagram illustrating an example of a structure of a structured CD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention. Referring to FIG. 8, the CD description may include unique information (StaticInfoDevice), available device (Device), service date (TimeOfTheServiceDate), lossless audio detail (DetailedDescriptionOfLosslessAudio), and portable device of the device to be used. . The available devices may include portable players, desktop PCs, smart TVs and settop boxes, and lossless audio details are available in the FormatOfLosslessAudio format. Authors such as Name, Nationality, Organization, etc. may include AuthorOfCreating, AuthoringTool, Authoring Algorithm, TotalPlayTime, and the like. The meaning of the lossless audio CD description information included in the CD description of FIG. 8 is described in Table 2 (In Table 2, MPEGUD Requirements indicates 'ISO / IEC JTC1 / SC29 / WG11 / n12881 Requirements on MPEG User Description'). Since this is an open document, detailed descriptions thereof will be omitted here (the same tables and figures follow).

TABLE 2

Name	Definition
StaticInfoDevice	Refer to MPEG-UD requirements
Device	Refer to MPEG-UD requirements
TimeOfTheServiceDate	Refer to MPEG-UD requirements
DetailedDescriptionOfLosslessAudio	Describes the detailed description Of lossless audio
Potableplayer	Describes the portable player of available device
SmartMobilePhone	Describes the smart phone of available device
DesktopPC	Describes the desktop PC of available device
SmartTVAndSettop	Describes the smart TV and settop box of available device
FormatOfLosslessAudio	Provides information on the detailed description of lossless audio format. Refer to Annex2 Format of lossless audio
AuthorOfCreating	Provides information on the detailed description of the name of author.
AuthoringTool	Provides information on the detailed description of the authoring tool.
AuthoringAlgorithm	Provides information on the detailed description of the authoring algorithm.
TotalPlayTime	Provides information on the detailed description of the total play time.

9 is a diagram illustrating an example of a structure of a structured SD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention. Referring to FIG. 9, the SD description includes social network and community, usage permission, supported format, supported restriction, limit of usage, service level agreement, lossless audio database, databaseoflosslessaudio, and the like. can do. Social network communities include Facebook, KakaoTalk, etc.The lossless audio database includes Title, Singer, Author / Music, TypeOfMusic, Music It may include a first measure (FirstLineOfTheMusic), a user access history (AccessHistoryOfMusic), a network environment (NetworkEnvironment), and the like. And the meaning of the lossless audio SD description information included in the SD description of FIG. 9 is described in Table 3.

TABLE 3

Name	Definition
SocialNetworkAndCommunities	Refer to MPEG-UD requirements
UsagePermissions	Refer to MPEG-UD requirements
SupportedRepresentationFormat	Refer to MPEG-UD requirements
LimitOfUsage	Refer to MPEG-UD requirements
ServiceLevelAgrement	Refer to MPEG-UD requirements
DatabaseOfLosslessAudio	Describes the database of service providers
Facebook	Provides Facebook of the social network and communities
Kakao	Provides Kakao of the social network and communities
Other	Provides Others of the social network and communities
Title	Provides the title of lossless audio on the database
Singer	Provides the singer of lossless audio on the database
AuthorOfMusic	Provides the author of lossless audio on the database
Typeofmusic	Provides the type of lossless audio on the database. Refer to Annex 1. Type of music.
FirstLineOfTheMusic	Provides the first line of lossless audio on the database
AccessHistoryOfUser	Provides the access history of user on the database
NetworkEnviroment	Provides the network enviroment of user on the database

10 and 11 are diagrams illustrating another example of a structure of a structured UD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention. The figure shows a field. Referring to FIG. 10, an attribute field describes unique information of a user, and includes user IDs, genders, birthdays, last names, first names, and the like. 11, in addition to the unique information of the user disclosed in FIG. 10, the attribute field may further include information such as nationality and language used. Information included in the attribute field may be used as basic information of the user.

FIG. 12 is a diagram illustrating an example of a configuration of an information field in the UD description illustrated in FIG. 10. Referring to FIG. 12, the information field includes a user's address, telephone number, email address, user management number, and the like. Information included in the information field may be used as additional information or contact information of the user.

FIG. 13 is a diagram illustrating an example of a configuration of a service request field in the UD description illustrated in FIG. 10. Referring to FIG. 13, the service request field may include information such as a user's intention, a preferred content type, an interaction type with a community, and a service history. The service request field may be used to determine not only the current intention of the user but also the user's disposition and history.

FIG. 14 is a diagram illustrating an example of a configuration of a preferred content type server field in a service request field of the UD description illustrated in FIG. 13. Referring to FIG. 14, the preferred content type server field may include various types of content type information such as a movie and music. The Preferred Content Type Server field can be used to determine the user's preferred content type.

15 and 16 are diagrams illustrating another example of the structure of the structured CD description configured according to the description configuration method for the lossless audio content recommendation system according to an embodiment of the present invention. Referring to FIG. 15, the CD description includes device information, physical environment information, semantic environment information, sharing and synchronization information. In addition, referring to FIG. 16, the CD description may further include service time information, device specific information, and multimedia detailed attribute information in addition to the CD description disclosed in FIG. 15. The information included in the CD description may be used to determine the nature and type of the content and the environment related to the content, the device, the user, and the network.

FIG. 17 is a diagram illustrating an example of a configuration of a multimedia detailed attribute information field in the CD description illustrated in FIG. 16. Referring to FIG. 17, the multimedia detail attribute field may include information such as video, lost audio, and lossless audio. The multimedia detailed attribute field may be used to determine whether the type of content to be serviced is video, lost audio, or lossless audio.

FIG. 18 is a diagram illustrating another example of a structure of a structured SD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention. FIG. 18 is a view illustrating an attribute field in an SD description. to be. Referring to FIG. 18, the attribute field describes service specific information, and includes a service ID, a service name, a service type, a service provider, contact information, and the like. The information included in the attribute field may be used as basic information of the service provider and the service provided by it.

FIG. 19 is a diagram illustrating another example of a structure of a structured SD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention, wherein an SD field is excluded from an attribute field. FIG. It shows the structure of another field. Referring to FIG. 19, the SD description includes information such as service level agreements, service uses, social networks and communities, supported multimedia objects, multimedia databases, and the like. The information contained in the SD description can be used as detailed information related to the service provided.

20 is a diagram illustrating an example of a configuration of a multimedia database field in the SD description illustrated in FIG. 19. Referring to FIG. 20, the multimedia database field may include information such as a video database, a lost audio database, a lossless audio database, and the like. The multimedia database field may be used to determine what type of database the service provider possesses, such as video, lost audio, or lossless audio.

FIG. 21 is a diagram illustrating an example of a configuration of a lossless audio database subfield in the multimedia database field illustrated in FIG. 20. Referring to FIG. 21, a lossless audio database subfield may include a title, a singer, a composition / songwriter, a music type, a music first measure, a user connection history, a network environment, and the like. The lossless audio database subfield may be constructed by a service provider that provides a lossless audio service and used to search for a lossless audio database to provide lossless audio content desired by a user.

FIG. 22 is a diagram illustrating another example of a structure of a structured UD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention. Referring to FIG. 22, the UD description includes an attribute field and an information field. The information field includes a user ID, a user profile, a history of use, a preference, an emotion, a schedule, an activity, a multimedia type, an intention, a priority service, and the like. The preference subfield includes user preferences, audio presentation preferences, display presentation preferences, graphic presentation preferences, service preferences, translation preferences, interest media, and preference descriptions. The function of this UD description is the same as that of the other UD descriptions described above.

FIG. 23 is a diagram illustrating another example of the structure of a structured CD description configured according to the description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention. Referring to FIG. 23, a CD description includes an attribute field and an information field. The information field includes a context identifier, effective duration, season, device characteristics, network information, location, weather, other environmental information such as audio environment or lighting characteristics, priority, and the like. The function of such a CD description is the same as that of the other CD descriptions described above.

FIG. 24 is a diagram illustrating another example of a structure of a structured SD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention. Referring to FIG. 24, the SD description includes an attribute field and an information field. The information field includes service general information, service target information, service interface information, internal service information, priority, service availability information, and the like. The function of this SD description is the same as that of the other SD descriptions described above.

FIG. 25 is a diagram illustrating another example of a structure of a structured UD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention. Referring to FIG. 25, the UD description according to the present embodiment has a difference in that lossless audio presentation preference information is further added to the preference subfield as compared to the UD description illustrated in FIG. 22. For example, the lossless audio presentation preference information includes generation preference information, lossless audio format preference information, lossless audio file size preference information, lossless audio music preference information, and the like, along with attribute information such as an ID. And the meaning of each of the information included in the lossless audio presentation preference information included in the UD description of FIG. 25 is described in Table 4.

Table 4

Name	Definition
CreationInfo	Describes user's preference on the creating information for lossless audio.
Losslessaudioformat	Describes user's preference on the format type for lossless audio.
LosslessAudioFileSize	Describes user's preference on the file size for lossless audio.
LosslessAudioMusicPreference	Describes user's preference on the preference of music for lossless audio.

FIG. 26 is a diagram illustrating another example of the structure of a structured CD description configured according to the description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention. Referring to FIG. 26, the CD description according to the present embodiment is different in that lossless audio environment information is further added to other environment information subfields as compared to the UD description shown in FIG. 23. In one example, the lossless audio environment information includes creation author information, authoring tool information, authoring algorithm information, and the like, along with attribute information. And the meaning of each of the information included in the lossless audio environment information included in the CD description of FIG. 26 is described in Table 5.

Table 5

NAME	Definition
AuthorOfCreating	Describes author of creating for lossless audio.
AuthoringTool	Describes the authoring tool for lossless audio.
AuthoringAlgorithm	Describes the authoring algorithm for lossless audio.

FIG. 27 is a diagram illustrating another example of a structure of a structured SD description configured according to a description configuration method for a lossless audio content recommendation system according to an embodiment of the present invention. Referring to FIG. 27, the SD description according to the present embodiment is different in that multimedia database information is further added to the information field as compared to the SD description illustrated in FIG. 24. In one example, the multimedia database information includes video database information, lost audio database information, lossless audio database information, and the like. The lossless audio database subfield includes information such as title, singer, music author, music type, music first measure, and user access history. The meaning of each of the information included in the multimedia database field and its lossless audio database subfield included in this SD description is described in Table 6.

Table 6

DatabaseOfMultimediaType

Videodb: describes database of video

LossyAudioDB: Describes database of lossy audio

LosslessaudioDB: Describes database of lossless audio. The LosslessAudioDBType contains Title, Singer, AuthorOfMusic, KindOfMusic, FirstLineOfMusic and AccessHistoryOfUser elementOtherDB: Describes database of others

LosslessAudioDBType

Title: Describes the title of lossless audio on the database

Singer: Describes the singer of lossless audio on the database

AuthorOfMusic: Describes the author of lossless audio on the database

KindOfMusic: Describes the kind of lossless audio on the database

FirstLineOfMusic: Describes the first line of lossless audio on the database

AccessHistoryOfUser: Describes the access history of user on the database

The above description is only an embodiment of the present invention, and the technical idea of the present invention should not be construed as being limited by this embodiment. The technical idea of the present invention should be specified only by the invention described in the claims. Therefore, it will be apparent to those skilled in the art that the above-described embodiments may be implemented in various forms without departing from the spirit of the present invention.

Claims

In the method for organizing the descriptions input to the lossless audio content recommendation system according to a predetermined system,

The descriptions may include user descriptions (UDs) including usage history information about the user's lossless audio content, along with dynamic and static information about the user; A context description (CD) including context information of the lossless audio content and environmental context information in which the user is located; And a service description (SD) including relevant service information specifying a service of the lossless audio content service provider.

The lossless audio content recommendation system generates and provides a recommendation description (RD) for recommending a predetermined lossless audio content provider selected based on the user description, the context description, and the service description of the user. A description method for a lossless audio content recommendation system.
The method of claim 1,

The user description comprises an attribute field and an information field,

The information field may include user ID information, user profile information, usage history information, preference information, emotion information, schedule information, activity information, multimedia type information, intention information, and priority service information. How to construct descriptions for a system.
The method of claim 2,

The preference information may be selected from among user preference information, audio presentation preference information, display presentation preference information, graphic presentation preference information, lossless audio presentation preference information, service preference information, translation preference information, interest medium information, and preference description information. A method of constructing descriptions for a lossless audio content recommendation system comprising one or more information.
The method of claim 1,

The context description includes an attribute field and an information field,

The information field may include one or more of context identifier information, effective duration information, season information, device characteristic information, network information, location information, weather information, environment information, lossless audio environment information, and priority information. A description method for a lossless audio content recommendation system.
The method of claim 1,

The service description includes an attribute field and an information field,

And wherein the information field includes one or more of service general information, service target information, service interface information, internal service information, priority, and service availability information.
The method of claim 5,

The information field includes lossless audio database information,

And the lossless audio database information includes one or more of a title, a singer, a music author, a music type, a music first measure, and a user access history.