KR20150045876A - File format for transmitting audio data and its constructing method - Google Patents

Abstract

Disclosed is a method for providing descriptions for a lossless audio content recommendation system. According to an embodiment of the present invention, a user description (UD) containing dynamic and static information with respect to a user and use history information of the user with respect to lossless audio content; a context description (CD) containing the context information of the lossless audio contents and information with respect to an environmental condition of the user; and a service description (SD) containing relative service information specifying services of a lossless audio content service provider. In addition, a lossless audio content recommendation system provides a recommendation description (RD) recommending a predetermined lossless audio content provider selected based on the UD, CD, and SD for the user.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a file format for transmitting audio data,

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

Recently, research and development related to Big Data are actively under way. The Big Data Study includes not only data collection, but also techniques for sorting, processing, and storing, as well as providing customized services using them. One of the user-customized services is researching and developing a recommendation system for smart choice of users, and individual recommendation systems are employed in connection with a specific service such as an Internet service or a search service.

The recommendation system includes a lot of research and cost in the development process. The internal structure and recommendation method of the recommendation system can be changed according to the developer or policy of the system. The quality and satisfaction of the service based on the recommendation result of the recommendation system may vary depending on the provider and / or the user. However, users do not have a choice or a chance to select the best recommended service from among a large number of recommended services, and most of them are combined with other services (for example, an Internet service, a mail / cloud service, etc.) .

In this situation, if the recommendation system and the interface of the service using the recommendation system are standardized, there may exist various competitive systems for the same service, and the user can select a recommendation system from among a plurality of recommendation systems . And, if original service providers use standardized interfaces, various third-party recommendation service providers can construct unique recommendation engines to provide services in free competition.

For example, if a service interface using a recommendation system is standardized, it is desirable to provide an audio content recommendation service for services that provide lossless and / or lossy audio content, There are a number of recommendation systems that can provide optimized service providers and can independently provide services irrespective of audio content service providers. The users can select a desired recommendation system from among a plurality of recommendation systems and receive the audio content service from a service provider who has been recommended by the selected recommendation system.

For such a service, it is necessary to standardize and establish interfaces among the subjects related to the recommendation system. For example, in September 2013, the MPEG-2 Conference on MPEG (MPEG-UD) submitted a proposal request for MPEG-UD, which states that the MPEG-UD is a user description (UD), a contextual description , Service Description (SD), and Recommendation Description (RD), which are the subject of standardization.

Up to now, MPEG has standardized user description structure such as various user preference, user use record and the like and usage environment description structure for adaptive use of media through MPEG-7, MPEG-21, and MPEG-V. These existing standards have been established with the specific purpose of making use of more convenient media in a unique utilization environment, each with its own separate purpose. On the other hand, the MPEG-UD is intended to provide a recommendation system that provides user-optimized recommendation information using general user information, context information, and service information that can be utilized in a wider range of recommendation engine / recommendation environment.

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

Korean Patent Laid-Open No. 10-2013-0120362 (Published April 11, 2013)

One challenge the present invention addresses 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 necessary for standardizing a recommendation system for lossless audio contents.

Another object of the present invention is to provide a method for constructing descriptions for a lossless audio content recommendation system in order to allow a user of lossless audio to quickly access and search contents necessary for him / her.

According to another aspect of the present invention, there is provided a method of constructing descriptions for a lossless audio content recommendation system, the method comprising: structuring a description input to a lossless audio content recommendation system according to a predetermined scheme, The description includes a user description (UD) comprising usage history information for the user's lossless audio content with dynamic and static information for 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 related service information that specifies a service of the lossless audio content service provider, wherein the lossless audio content recommendation system is configured to delete the user description, the context description, and the service description And generates a recommendation description (RD) for recommending a selected predetermined lossless audio content provider based on the recommendation description (RD).

According to an aspect of the embodiment, the user description includes an attribute field and an information field, and the information field includes user ID information, user profile information, usage history information, preference information, emotion information, schedule information, 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, And preference description information.

According to another aspect of the embodiment, the context description includes an attribute field and an information field, and the information field includes context identifier information, valid duration information, season information, device characteristic information, network information, 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, And the like. In this case, the information field includes 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 kind, 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 configurations of UD, CD and SD. A user who uses the lossless audio content recommendation system can recommend the service of the lossless audio content provider optimized for himself / herself and use the desired service quickly and easily. For example, a user can quickly retrieve and download a lossless audio content he / she desires, or receive a streaming service or the like.

FIG. 1 is a block diagram showing a correlation between descriptions constructed according to a description construction method according to an embodiment of the present invention. FIG.
2 is a diagram schematically illustrating a role and a service flow between a content producer and a user centering on a service provider in order 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 a lossless audio content in a recommendation system according to the MPEG-UD.
FIG. 4 is a block diagram schematically illustrating an example of a format in which a lossless audio content file is constructed according to the foregoing description.
FIG. 5 is a flowchart showing an example of a priority step for a selection menu provided by a search engine or a service provider to a user in order to easily implement a search model using UD, CD, SD, and RD information.
FIG. 6 is a flowchart showing 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 the structure of a structured UD description configured according to a description constructing method for a lossless audio content recommendation system according to an embodiment of the present invention.
FIG. 8 is a diagram illustrating an example of the structure of a structured CD description configured according to a description constructing 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 configuration of a structured SD description configured according to a description 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 the structure of a structured UD description configured according to a description constructing method for a lossless audio content recommendation system according to an embodiment of the present invention. In the UD description, Fig.
12 is a diagram showing an example of the configuration of the information field in the UD description shown in FIG.
13 is a diagram showing an example of the configuration of a service request field in the UD description shown in FIG.
14 is a diagram showing an example of the configuration of the preferred content type server field in the service request field of the UD description shown in FIG.
15 and 16 are diagrams showing another example of the structure of a structured CD description configured according to a description constructing method for a lossless audio content recommendation system according to an embodiment of the present invention, respectively.
17 is a diagram showing an example of the configuration of the multimedia detail attribute information field in the CD description shown in FIG.
FIG. 18 is a diagram showing another example of the structure of a structured SD description configured according to a description constructing method for a lossless audio content recommendation system according to an embodiment of the present invention, and is a diagram showing an attribute field in an SD description to be.
FIG. 19 is a diagram illustrating another example of the structure of a structured SD description configured according to a description constructing method for a lossless audio content recommendation system according to an embodiment of the present invention. In the SD description, Indicates the configuration of the other fields.
20 is a diagram showing an example of the configuration of a multimedia database field in the SD description shown in FIG.
21 is a diagram illustrating an example of the configuration of a lossless audio database subfield in the multimedia database field shown in FIG.
22 is a diagram illustrating another example of the structure of a structured UD description configured according to a description constructing method for a lossless audio content recommendation system according to an embodiment of the present invention.
23 is a diagram illustrating another example of the structure of a structured CD description configured according to a description constructing method for a lossless audio content recommendation system according to an embodiment of the present invention.
24 is a diagram illustrating another example of the structure of a structured SD description configured according to a description 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 the structure of a structured UD description configured according to a description constructing method for a lossless audio content recommendation system according to an embodiment of the present invention. Referring to FIG.
26 is a diagram illustrating another example of the structure of a structured CD description configured according to a description 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 the structure of a structured SD description configured according to a description method for a lossless audio content recommendation system according to an embodiment of the present invention. Referring to FIG.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. The terms used in the following embodiments are terms selected in consideration of the functions in the embodiments, and the meaning of the terms may vary depending on the user, the intention or custom of the operator, and the like. Therefore, the meaning of a term used herein should be interpreted according to its definition when it is specifically defined in the present specification, and in the case where there is no specific definition, a person skilled in the art will generally understand it. In the following description, well-known functions or constructions are not described in detail to avoid unnecessary obscuration of the technical idea of the present invention.

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

Referring to FIG. 1, a user's application requests a recommendation system, that is, recommendation engine, for a lossless audio service. The UD manager, the CD manager, and the SD manager, which receive the request from the recommendation engine, receive the request from the database (UD database, CD database, SD database) managed by the UD manager, CD manager and SD manager based on the user information, information included in the request, (UD), a context description (CD), and a service description (SD), which correspond to the request, to the recommendation engine. The recommendation engine then provides a recommendation service, or recommendation 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 the recommendation system, that is, the provision of the recommendation description (RD) by the recommendation engine may be embodied in the following form, for example.

Recently, audio enthusiasts enjoy listening to lossless audio. An audio enthusiast would like to access a service provider (e.g., a web site) that provides lossless audio services to download and listen to lossless audio content on their device (e.g., a lossless audio-only mobile terminal). UD databases such as this user's smartphone or lossless audio-only mobile terminals have recorded in the last few months records using audio content services as part of user description (UD). These records include additional information indicating that the user refers to the information about the creator (singer, performer, etc.) when selecting the audio content as well as the type of the content preferred by the user.

In this UD database, the recommendation engine acquires the user's access record such as information of the audio content preferred by the user, the number of downloads, and the downloaded content information as well as the content selection criteria of the user. The fact that the user is able to retrieve the lossless audio content information by using the history information of the user, the connection record, and the content creator information is transmitted to the service description (SD ).

Based on this, the recommendation engine deduces from the fact that the user searches for and selects the content based on the important criterion, extracts access information (for example, URL) of the lossless audio service provider providing lossless audio information and content creator search, (RD) to the user's application. The user's application accesses the service provider providing the lossless audio content based on the provided recommendation description (RD), and easily obtains the lossless audio content desired by the user.

As can be seen from these examples, the recommendation system that is being standardized in the MPEG-UD standard includes various elements. Of these, the four elements of user description (UD), context description (CD), service description (SD), and recommendation description (RD) How to implement a manager or recommendation engine is not within 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 can lead to the development of the technology. As a result, the MPEG-UD standard attempts to standardize the minimum data format that can guarantee compatibility between the recommendation engine and its surrounding elements. In addition, embodiments of the present invention to be described later provide various methods of constructing descriptions according to the standardized data format.

Embodiments of the present invention will be described in detail with reference to the accompanying drawings. FIG. 1 is a block diagram illustrating a system for providing a standardized lossless audio content recommendation system according to an embodiment of the present invention. In order to realize this, it is necessary to standardize descriptions of services providing a plurality of lossless audio content services by grouping and specifying information input and output through a recommendation engine, as well as standardizing user information and environment information. Then, the recommendation system uses the standardized information to transmit information about a user requesting a lossless audio content service and an environment-optimized service provider at the time of a request, so that the user can obtain a service optimized for the user (for example, Downloading, streaming, etc.).

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

2 is a diagram schematically illustrating a role and a service flow between a content producer and a user centering on a service provider in order to perform a lossless audio content service. Referring to FIG. 2, a personal creator (company creator) provides user description (UD) and audio to a service provider and obtains profit, and a user (web consumer, mobile consumer) To get the necessary information and data (database audio, lossless audio). For this purpose, service providers are equipped with necessary servers and 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 a lossless audio content in a recommendation system according to the MPEG-UD. In FIG. 3, the recommendation engine is shown as being associated with a Recommendation RD, but this is merely for convenience of illustration, and substantially different descriptions, such as user description (UD), context description (CD) Is also associated with the recommendation engine. That is, the structured UD, CD, and SD (more specifically, the information contained therein) are input to the recommendation engine in accordance with the standardized format, and the recommendation engine selects the optimized service for the user based on the input, RD to the user.

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

The context description (CD) includes information related to the environment in which the user uses the service, and in the case of a lossless audio service, information relating to the lossless audio production environment. More specifically, the CD includes information relating to the environment required to reproduce lossless audio and the environment for creating lossless audio content, and also includes detailed description of lossless audio. For example, apart from the author who writes and composes music, it can include information related to the producer as well as the production environment such as performer, performance environment, and the like. This information can be utilized by the user to select a lossless audio content considering the actual production environment. These lossless audio details may also be used by service providers to provide new databases.

Referring to FIG. 3, in the process of using the UD, user history information and basic information (management number, email information, and the like) are transmitted. In the process of using the CD, environment information and lossless audio detailed information are transmitted. And on SD, it also reconstructs a lossless audio database. The reconfiguration of such a database can be performed in a predetermined cycle, and the information necessary for this can be provided through UD, CD, or the like. The reconfiguration of the database is performed from the viewpoint of allowing the user to quickly provide useful services to the user. Based on this, it can be determined whether the service providing environment of the service provider is suitable for the user's request. Service providers must develop their own excellent recommendation engines, which can be a criterion for evaluating service providers.

According to an embodiment of the present invention, a specific method for constructing UD, CD, and SD for a lossless audio recommendation system is proposed. A lossless audio file is a large file of at least 20 Mbytes to a lot more than 90 Gbytes. On the other hand, the capacity of a user's desktop PC (PC) or mobile electronic device is limited. And even if the audio is the same title and the same singer, the size of the file can be several times to several hundred times different. And the environment and method of producing lossless audio contents may be different.

Having a person using the TV remote control to select a multi-level menu makes the user uncomfortable and does not use the menus of four or more levels. In particular, the smart TV includes a larger number of menus, and accordingly, the process of selecting a desired menu is complicated and the number of steps can be increased. However, in any case, it is not easily adopted that the menu is made to be more than four steps because it may cause inconvenience of the user.

This principle is equally applicable to a method for constructing a recommendation system for lossless audio. For example, in a lossless audio recommendation system, various methods have been proposed for allowing a user to easily find a desired content. An example would be to utilize tags to facilitate retrieval of all audio content files. The tag allows service providers to easily find and select audio files. In this case, producers of lossless audio content also need to use standardized tags.

FIG. 4 is a block diagram schematically illustrating an example of a format in which a lossless audio content file is constructed according to the foregoing description. Referring to FIG. 4, the file format may include UD, CD, SD, and RD as a header, and the file including the tag may be a form of a file for an audio bitstream service. The tag information selected by the service provider can be added to all the lossless audio files so that the user can quickly and easily access the lossless audio content to be selected.

FIG. 5 is a flowchart showing an example of a priority step for a selection menu provided by a search engine or a service provider to a user in order to easily implement a search model using UD, CD, SD, and RD information. Referring to FIG. 5, when a service provider uses information derived from a network environment or during a business period, a user selects a high priority among the detailed description information of UD, CD, SD, and RD as a priority of a selection menu, It is possible to make it possible to quickly and easily select the content.

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

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 on a user, and the like as well as information on a specific content by the user. Then, the recommendation system receiving the content request extracts UD information and CD information suitable for the UD database and the CD database, respectively (S12). The UD database and the CD database may each store UD and CD (to be described later) for the structured corresponding user configured according to a predetermined format. Alternatively, the recommendation system may collect information (UD, information contained in the CD) about the user and the environment through communication with other objects stored therein. In this step, the recommendation system can extract appropriate UD information and CD information from the structured UD description and the CD description based on the content, environment, and user information 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 have a structured SD description (which will be described later) structured in accordance with a predetermined format. The SD information extracted from the structured SD description at this stage may be information associated with the service provider capable of providing an optimized service to the user based on the UD information and the CD information. Finally, the recommendation system can generate RD information for the lossless audio content service provider based on the extracted SD information and provide it to the user (S14).

Hereinafter, the structure of the UD, CD, and SD descriptions according to the embodiment of the present invention, which can be utilized in the recommendation procedure of the lossless audio content service, will be described below.

7 is a diagram illustrating an example of the structure of a structured UD description configured according to a description constructing 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 for the user. In addition, the UD description can also include information such as the user's history of use, preference, and UD-related security settings.

Referring to FIG. 7, the UD description includes user information (UserID), Birthday, Gender, Country, UserLanguage, TypeOfFavoriteMusic, and HistoryOfService. can do. The user information may include an ID, a password PW, an e-mail address, a phone number, a user management number, and the like. The user service history includes the date of download, the number of downloads, the type of lossless audio, and so on. The meanings of the lossless audio UD description information included in the UD description of FIG. 7 are described in Table 1.

FIG. 8 is a diagram illustrating an example of the structure of a structured CD description configured according to a description constructing 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 the device's unique information (StaticInfoDevice), available device, service date (TimeOfTheServiceDate), lossless audio detail information (DetailedDescriptionOfLosslessAudio), portable device (PortableDevice) . The available devices may include a portable player, a desktop PC, a smart TV and a set-top box, and the lossless audio details may include a lossless audio format (Authoring Tool), Authoring Algorithm, Total Play Time (TotalPlayTime), etc., such as Title, FormatOfLosslessAudio, Name, Nationality, Organization, 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, MPEG-UD Requirements is 'ISO / IEC JTC1 / SC29 / WG11 / n12881 Requirements on MPEG User Description' , And this is an open document, so a detailed description thereof is omitted here (the following tables and figures are the same)).

9 is a diagram illustrating an example of a configuration of a structured SD description configured according to a description method for a lossless audio content recommendation system according to an embodiment of the present invention. 9, the SD description includes a SocialNetworkAndCommunities, a UsagePermissiom, a SupportedRepresentationFormat, a LimitOfUsage, a Service Level Agreement, and a Lossless Audio Database (DatabaseOfLosslessAudio). can do. The social network community includes Facebook, Kakao and the like. The lossless audio database includes a title, a singer, a composition / authorOfMusic, a music type (TypeOfMusic), a music A first measure (FirstLineOfTheMusic), a user access history (AccessHistoryOfMusic), a network environment (Network Environment), and the like. The meanings of the lossless audio SD description information included in the SD description of FIG. 9 are described in Table 3.

10 and 11 are diagrams illustrating another example of the structure of a structured UD description configured according to a description constructing method for a lossless audio content recommendation system according to an embodiment of the present invention. In the UD description, Fig. Referring to FIG. 10, the attribute field describes user's unique information, including user IDs, sex, birthday, last name, first name, and the like. Referring to FIG. 11, in addition to the unique information of the user shown in FIG. 10, the attribute field may further include information such as nationality and language of use. The information contained in the attribute field can be used as basic information of the user.

12 is a diagram showing an example of the configuration of the information field in the UD description shown in FIG. Referring to FIG. 12, the information field includes a user's address, a telephone number, an e-mail address, a user management number, and the like. The information contained in the information field can be utilized as additional information or contact information of the user.

13 is a diagram showing an example of the configuration of a service request field in the UD description shown in FIG. 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 can be used to grasp not only the user's current intention but also the user's tendency and history.

14 is a diagram showing an example of the configuration of the preferred content type server field in the service request field of the UD description shown in FIG. Referring to FIG. 14, the preferred content type server field may include various types of content type information such as movies, music, and the like. The preferred content type server field can be utilized to identify the type of content preferred by the user.

15 and 16 are diagrams showing another example of the structure of a structured CD description configured according to a description constructing method for a lossless audio content recommendation system according to an embodiment of the present invention, respectively. Referring to FIG. 15, the CD description includes device information, physical environment information, semantic environment information, and sharing and synchronization information. Referring to FIG. 16, the CD description may further include service time information, device unique information, and multimedia detail attribute information in addition to the CD description disclosed in FIG. The information included in the CD description can be used to grasp the attributes, kinds, and the like of the content and also to grasp environments related to contents, devices, users, networks, and the like.

17 is a diagram showing an example of the configuration of the multimedia detail attribute information field in the CD description shown in FIG. Referring to FIG. 17, the multimedia detail attribute field may include information such as video, lossy audio, lossless audio, and the like. The multimedia detail attribute field can be utilized to determine whether the type of the service target content is video, lossy audio, or lossless audio.

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

FIG. 19 is a diagram illustrating another example of the structure of a structured SD description configured according to a description constructing method for a lossless audio content recommendation system according to an embodiment of the present invention. In the SD description, Indicates the configuration of the other fields. Referring to FIG. 19, the SD description includes information such as service level agreement, service usage, social network and community, supported multimedia objects, multimedia database, 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 showing an example of the configuration of a multimedia database field in the SD description shown in FIG. 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 which type of database the service provider has for content, such as video, lossy audio, or lossless audio.

21 is a diagram illustrating an example of the configuration of a lossless audio database subfield in the multimedia database field shown in FIG. Referring to FIG. 21, a lossless audio database subfield may include a title, a singer, a composition / lyric, a music type, a music first measure, a user access history, a network environment, and the like. The lossless audio database subfield can be utilized by a service provider providing lossless audio service and searching for a lossless audio database to provide a lossless audio content desired by the user.

22 is a diagram illustrating another example of the structure of a structured UD description configured according to a description constructing 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 usage history, a preference, an emotion, a schedule, an activity, a multimedia type, an intention, a priority service, The preference subfields include user preferences, audio presentation preferences, display presentation preferences, graphic presentation preferences, service preferences, translation preferences, media of interest, preferences, and the like. The function of this UD description is the same as that of the other UD description described above.

23 is a diagram illustrating another example of the structure of a structured CD description configured according to a description constructing method for a lossless audio content recommendation system according to an embodiment of the present invention. Referring to FIG. 23, the CD description includes an attribute field and an information field. The information field includes 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 this CD description is the same as that of the other CD description described above.

24 is a diagram illustrating another example of the structure of a structured SD description configured according to a description 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 description described above.

FIG. 25 is a diagram illustrating another example of the structure of a structured UD description configured according to a description constructing method for a lossless audio content recommendation system according to an embodiment of the present invention. Referring to FIG. Referring to FIG. 25, the UD description according to the present embodiment differs from the UD description shown in FIG. 22 in that lossless audio presentation preference information is further added to the preference subfield. For example, the lossless audio presentation preference information includes generated preference information, lossless audio format preference information, lossless audio file size preference information, lossless audio music preference information, and the like, together with attribute information such as an ID and the like. The meaning of each of the information included in the lossless audio presentation preference information included in the UD description in FIG. 25 is described in Table 4.

26 is a diagram illustrating another example of the structure of a structured CD description configured according to a description 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 differs from the UD description shown in FIG. 23 in that lossless audio environment information is further added to other environment information subfields. For example, the lossless audio environment information includes generated author information, authoring tool information, authoring algorithm information, and the like together with attribute information. The meaning of each of the information included in the lossless audio environment information included in the CD description in FIG. 26 is described in Table 5. [

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

The above description is only an example of the present invention, and the technical idea of the present invention should not be interpreted 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 is apparent to those skilled in the art that the above-described embodiments may be modified and embodied in various forms without departing from the technical spirit of the present invention.

Claims (6)

A method for structuring a description input into a lossless audio content recommendation system according to a predetermined scheme,
The description includes a user description (UD) containing usage history information for the user's lossless audio content along with dynamic and static information for 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 related service information specifying a service of the lossless audio content service provider,
Wherein 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, Wherein the method comprises the steps of: The method according to claim 1,
Wherein the user description comprises an attribute field and an information field,
Wherein the information field includes 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. A method for constructing descriptions for a system. 3. The method of claim 2,
The preference information includes at least one of 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, Lt; RTI ID = 0.0 > 1, < / RTI > further comprising at least one piece of information. The method according to claim 1,
Wherein the context description comprises an attribute field and an information field,
The information field includes at least one of context identifier information, valid duration information, season information, device characteristic information, network information, location information, weather information, environment information, lossless audio environment information, and priority information Wherein the method comprises the steps of: The method according to claim 1,
Wherein the service description includes an attribute field and an information field,
Wherein the information field comprises at least one of service general information, service target information, service interface information, internal service information, priority, and service availability information. 6. The method of claim 5,
The information field including lossless audio database information,
Wherein the lossless audio database information includes at least one of a title, a singer, a music author, a music kind, a music first measure, and a user access history.

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