A Personalized Audio Web Service using MPEG-7 and MPEG-21 standards

A Personalized Audio Web Service using MPEG-7 and MPEG-21 standards
Emmanouil Skondras
1
, Malamati Louta
2
, Panagiotis Sarigiannidis
2
1
Dpt of Informatics & Computer Technology
Technological Educational Institute of Western Macedonia, 52100 Kastoria, Greece
2
Dpt of Informatics and Telecommunications Engineering,
University of Western Macedonia, 50100, Kozani, Greece
manolisskondras@yahoo.gr, louta@uowm.gr,
psarigiannidis@ uowm.gr
Abstract—This paper presents a web service which
delivers personalized audio information. The
personalization process is automated and decentralized.
The metadata which support personalization are separated
in two categories: the metadata describing user preferences
stored at each user and the resource adaptation metadata
stored at the web service host. The multimedia models
MPEG-21 and MPEG-7 are used to describe metadata
information and the Web Ontology Language (OWL) to
produce and manipulate ontological descriptions. SPARQL
is used for querying the OWL ontologies. The MPEG
Query Format (MPQF) is also used, providing a well-
known framework for applying queries to the metadata
and to the ontologies.
I. INTRODUCTION
Nowadays, the volume of multimedia data is
increasing rapidly in many information channels. The
delivery of multimedia services is a common task.
However more users tend to require information retrieval
services which include high quality features such as
semantic description and personalization of information.
In this paper a prototype application that delivers
personalized audio information to users is described.
The framework uses MPEG-7 and MPEG-21 for the
description of audio content as well as the users’
preferences. The metadata information is managed using
Web Ontology Language (OWL) ontologies, which
provide semantic descriptions of the multimedia content.
It also uses SPARQL for querying the metadata and the
relative ontologies. The MPQF provides a well-known
framework for applying the queries.
On one hand, the information that describes the user
preferences is created and stored at the client. On the
other hand, the web service side information contains
audio resources and resource adaptation metadata,
minimizing thus, the central storage and computational
requirements. This significantly reduces the response
time of the audio web service, handling multiple
concurrent requests from users during normal operation.
The remainder of the paper is organized as follows. In
section 2, the related research literature is revisited.
Section 3 presents an overview of the standards followed
in this study. Section 4 describes the software
architecture that supports the prototype application, as
well as the software elements and modules required.
Section 5 presents a case study of the application
prototype. Finally, section 6 concludes our work and
presents possible future extensions and plans.
II. RELATED WORK
The rapid increase in multimedia content has
challenged the academic and industrial communities into
the development of information retrieval tools enhanced
with personalization and adaptation capabilities. An
increasing number of these applications use defined
standards and well-known query formats to support
personalization in the web.
In [1], the design and the implementation of an
MPEG-7 based Multimedia Retrieval System for Film
Heritage is presented. The multimedia content has been
indexed using an Annotation Tool based on MPEG-7
standard. An MPEG-7 Compliant Ontology in OWL DL
has been developed to fulfill the requirements of the
system. This ontology has been instantiated so that the
retrieval process can be handled. This work has been
assessed during the validation of the CINeSPACE
project, which aims to design and implement a mobile
rich media collaborative information exchange platform,
accessible through a wide variety of networks (cities
WiMax, WANs etc.) for the promotion of Film Heritage.
In the work described in [2], the issues associated with
designing a video personalization and summarization
system in heterogeneous usage environments are
addressed, providing in parallel, a tutorial that introduces
MPEG-7 and MPEG-21 within these contexts. The
authors introduce a framework for a three-tier
summarization system (server, middleware and client).
The server maintains the content sources, the MPEG-7
metadata descriptions, the MPEG-21 rights expressions
and content adaptability declarations. The client exploits
the MPEG-7 user preferences and the MPEG-21 usage
environments, in order to retrieve and display the
personalized content. The middleware contains the
personalization and adaptation engines, which select,
adapt, and deliver the summarized rich media content to
the user. The system includes MPEG-7 annotation tools,
semantic summarization engines, real-time video
2011 Panhellenic Conference on Informatics
978-0-7695-4389-5/11 $26.00 © 2011 IEEE
DOI 10.1109/PCI.2011.29
199

transcoding and composition tools, application interfaces
for PDA devices as well as browser portals.
In [3] a model for integrating semantic user
preference descriptions within the MPEG-7/21 standard
is presented. The approach preserves the hierarchical
structure of the MPEG-21/7 user preference descriptions.
The implementation of the model is presented, which
allows descriptions of domain ontologies, semantic
content descriptions and user preference descriptions in
an OWL/RDF environment and also supports automatic
conversion of the proposed extensions to MPEG-21/7
descriptions.
[4] presents an adaptation model for content
personalization by integrating MPEG-7/21 metadata. It
uses web services as basic modules. A central web
service is used which selects and monitors a suitable
workflow in respect of user preferences, content
semantics, network constrains as well as terminal
capabilities. Each web service evaluates the MPEG-7/21
description and adapts the multimedia material. The user
gets the best possible quality in respect of his terminal
specifications.
[6] presents the MP7QL query language. It is a
language for querying MPEG-7 descriptions and allows
querying every aspect of an MPEG-7 multimedia
description. Its design has taken into account the MPEG-
7 Query Format Requirements. The queries utilize the
user preferences as context, enabling personalized
multimedia content retrieval. The MP7QL allows the
specification of queries that refer to multimedia content
satisfying specific criteria (such as “give me the
multimedia objects where a goal is scored”), semantic
entities (such as “give me the players affiliated to the
soccer team Barcelona”) and constructs of domain
ontologies expressed using MPEG-7 syntax (such as
“give me the subclasses of the Player class”).
Finally, the work presented in [7] pays attention to the
semantic retrieval for sports information in World Wide
Web. The SPARQL query language is used. It realizes
intelligent retrieval according to relations between sports
such as “synonymy of”, “kind of” and “part of”. The
process is as follows: Firstly, a sports-ontology is
created. Then data are collected from data sources and
annotated with the ontology. The search engine
completes semantic matching of retrieval conditions
through ontology reasoning for user's request and finds
out the eligible data.
III. USED STANDARDS
This section makes an overview of the technologies
and standards used for the development of the
application prototype. These standards include Web
Services [8], MPEG-7 [9], MPEG-21 [10], OWL [11],
SPARQL [12] and MPQF [13].
A web service is a software component designed to
support interoperable communication for processes over
a network. Web services can be implemented using
existing languages and platforms extending easily
functionalities of applications. Moreover, they
complement J2EE, CORBA and other standards
allowing easy integration with existing distributed
applications. A web service exploits a set of standards
including the Simple Object Access Protocol (SOAP),
the Web Services Description Language (WSDL) and
the Universal Description Discovery and Integration
protocol (UDDI).
MPEG-7 is a multimedia content description standard.
The description is associated with the content itself, to
allow fast and efficient searching for material that is of
interest to the user. MPEG-7 is formally called
Multimedia Content Description Interface. It does not
deal with the actual encoding of moving pictures and
audio, like MPEG-1, MPEG-2 and MPEG-4. It uses
XML to store metadata such as timecoding of particular
events, or synchronizing lyrics to a song.
The MPEG-21 standard aims at defining an open
framework for multimedia applications. MPEG-21 uses
the architectural concept of the Digital Item. A Digital
Item is a combination of resources (such as videos, audio
tracks, images), metadata (such as descriptors,
identifiers), and structures describing the relationships
between resources. Digital Items are declared using the
Digital Item Declaration Language (DIDL). MPEG-21
Digital Item Adaptation (DIA) architecture and the
MPEG-7 Multimedia Description Schemes (MDS) for
content and service personalization provide a Usage
Environment which models user preferences. The Usage
Environment Description is part of the MPEG-21 DIA
architecture and consists of the following description
elements:
ƒ The User Characteristics, which specify user features,
including:
The User Info, where user information is stored.
The User Preferences, describing the user
browsing, filtering and search preferences.
The Usage History, where the history of user
interaction with digital items is presented.
The Presentation Preferences, which describe user
preferences concerning the means of presentation
of multimedia information.
The Accessibility Characteristics, responsible for
content adaptation concerning users with auditory
or visual impairments.
ƒ The Terminal Capabilities, which describe the
technical characteristics of user devices.
ƒ The Natural Environment Characteristics, providing
information about the location and time of a user in a
particular environment, as well as audio-visual
characteristics which may include noise levels and
illumination properties of the natural environment.
ƒ The Network Characteristics, which specify the
network characteristics parameters including
bandwidth utilization, packet delay and packet loss.
OWL is a family of knowledge representation
languages used for composing ontologies. It is
considered as an extention of the RDFS and its
specifications have been authorized by the World Wide
Web Consortium. Ontologies are described in owl
documents by defining classes, properties and
individuals. Classes are collection of concepts, attributes
200

are properties of classes and individuals represent the
objects of a particular class.
SPARQL is an SQL-like language developed for
issuing queries to RDF and OWL repositories. Queries
are expressed in triple patterns similar to RDF whereas
RDF subjects, predicates and objects could be variables.
Additional language features include conjunctive or
disjunctive patterns as well as value filters. SPARQL
components are described in three specifications. The
query language specification presents the SPARQL
language structures. The query results XML
specification, defines the format of the results returned
from SPARQL queries as XML documents. The SARQL
protocol defines the framework for sending queries from
clients to remote server using HTTP or SOAP messages.
The Mpeg Query Format (MPQF) defines the
interaction between clients and multimedia repositories.
It specifies the message format of clients’ requests and
multimedia services responses. In contrast to SPARQL,
the MPQF doesn’t specify any transfer protocol (such as
HTTP) however the SOAP message model can be used.
In addition to that an extensive set of error messages is
defined.
IV. SOFTWARE ARCHITECTURE
The architecture of our framework is being presented
in this section (Figure 1). It contains a main-web-service,
an MPQF parser and a SPARQL parser, also
implemented as web services. Additionally, it contains a
client application which interacts with the web services
and retrieves personalized information. The architecture
is decentralized in respect to the information required to
achieve personalization. User related preferences are
created and stored locally at each client. Resource
adaptation metadata along with the resources are the
only to be composed and stored at the main-web-service.
As an effect, distribution of both computational load and
personalization data is achieved improving framework’s
scalability. The main-web-service and the client interact
with MPQF parser and SPARQL parser web services for
MPQF and SPARQL queries parsing, respectively.
Figure 1. The basic modules of our architecture
The main-web-service contains the audio tracks and
the respective audio metadata using MPEG-7 in an
MPEG-21 structure. It communicates with MPQF parser
and SPARQL parser web services. The audio tracks are
divided in sixteen different audio categories (speech,
crowd, animal, audio background effects, pop, classical,
dance, electronic etc.). Audio metadata include user
defined metadata (artist, producer, production year and
category), technical oriented metadata (bitrate, sample
rate, track duration, upload date and last download date,
audio channels, audio format, file size) as well as usage
history metadata (track’s popularity in respect to all
tracks, track’s popularity in its category and
recommended similar tracks). Table 1 presents a sample
of the audio metadata structure.
<mpeg21:DIDL xmlns:mpeg21="urn:mpeg:mpeg21:2002:02-mpeg21-NS"
xmlns:mpeg7="http://www.mpeg.org/MPEG7/2000">
<mpeg21:Container>
<mpeg21:Item>
<mpeg21:Descriptor>
<mpeg21:Statement mpeg7:mimeType="text/plain">Metadata about audio
track.</mpeg21:Statement>
</mpeg21:Descriptor>
<mpeg21:Component>
<mpeg21:Resource mpeg7:mimeType="application/xml">
<mpeg7:Mpeg7>
<mpeg7:CreationPreferences>
<mpeg7:Title mpeg7:preferenceValue="12"
xml:lang=“en”>track1.mp3</mpeg7:Title>
</mpeg7:CreationPreferences>
<mpeg7:CreationInformation>
<mpeg7:Creation>
<mpeg7:Creator>
<mpeg7:Role
mpeg7:href=“urn:mpeg:mpeg7:cs:RoleCS:2001:AUTHOR” />
<mpeg7:Agent xsi:type=“PersonType”>
<mpeg7:Name>
<mpeg7:GivenName>John</mpeg7:GivenName>
<mpeg7:FamilyName>Johny</mpeg7:FamilyName>
</mpeg7:Name>
</mpeg7:Agent>
</mpeg7:Creator>
<mpeg7:Creator>
<mpeg7:Role
mpeg7:href=“urn:mpeg:mpeg7:cs:RoleCS:2001:Publisher"/>
<mpeg7:Agent xsi:type=“PersonType”>
<mpeg7:Name>
<mpeg7:GivenName>George</mpeg7:GivenName>
<mpeg7:FamilyName>Smith</mpeg7:FamilyName>
</mpeg7:Name>
</mpeg7:Agent>
</mpeg7:Creator>
<mpeg7:Abstract>
<mpeg7:FreeTextAnnotation>VeryGood
</mpeg7:FreeTextAnnotation>
<mpeg7:StructuredAnnotation>
<mpeg7:What><mpeg7:Name>Audio Track</mpeg7:Name>
</mpeg7:What>
</mpeg7:StructuredAnnotation>
</mpeg7:Abstract>
<mpeg7:CreationCoordinates>
<mpeg7:CreationDate>
<mpeg7:TimePoint>2010-05-11</mpeg7:TimePoint>
<mpeg7:Duration>P7D</mpeg7:Duration>
</mpeg7:CreationDate>
</mpeg7:CreationCoordinates>
</mpeg7:Creation>
</mpeg7:CreationInformation>
<mpeg7:ClassificationPreferences>
<mpeg7:Genre mpeg7:preferenceValue="47"
mpeg7:href=“urn:mpeg:ContentCS:1”>
<mpeg7:Name xml:lang=“en”>Acappella</mpeg7:Name>
</mpeg7:Genre>
</mpeg7:ClassificationPreferences>
<mpeg7:MediaLocator>
<mpeg7:MediaUri>tracks/track1.mp3</mpeg7:MediaUri>
</mpeg7:MediaLocator>
<mpeg7:MediaTime>
<mpeg7:MediaTimePoint>T00:00:00F100</mpeg7:MediaTimePoint>
<mpeg7:MediaDuration>T00:13:07F100</mpeg7:MediaDuration>
</mpeg7:MediaTime>
<mpeg7:MediaFormat>
<mpeg7:Content mpeg7:href="urn:mpeg:mpeg7:cs:ContentCS:2001:2">
<mpeg7:Name xml:lang="en">audio</mpeg7:Name>
</mpeg7:Content>
<mpeg7:Medium
mpeg7:href="urn:mpeg:mpeg7:cs:MediumCS:2001:2.1.1 ">
<mpeg7:Name xml:lang="en">HD</mpeg7:Name>
</mpeg7:Medium>
<mpeg7:FileFormat
mpeg7:href="urn:mpeg:mpeg7:cs:FileFormatCS:2001:3">
<mpeg7:Name xml:lang="en">MP3</mpeg7:Name>
</mpeg7:FileFormat>
<mpeg7:FileSize>787082</mpeg7:FileSize>
<mpeg7:BitRate mpeg7:minimum="N/A" mpeg7:average="8000"
mpeg7:maximum="N/A"></mpeg7:BitRate>
<mpeg7:AudioCoding>
201

<mpeg7:Format
mpeg7:href="urn:mpeg:mpeg7:cs:AudioCodingFormatCS:2001:1">
<mpeg7:Name xml:lang="en">MP3</mpeg7:Name>
</mpeg7:Format>
<mpeg7:AudioChannels mpeg7:track="2"></mpeg7:AudioChannels>
<mpeg7:Sample mpeg7:rate="22050" mpeg7:bitPer="0">
</mpeg7:Sample>
</mpeg7:AudioCoding>
</mpeg7:MediaFormat>
</mpeg7:Mpeg7>
</mpeg21:Resource>
</mpeg21:Component>
</mpeg21:Item>
</mpeg21:Container>
</mpeg21:DIDL>
Table 1. Sample of the audio metadata structure
Each client organizes its metadata using MPEG-21/7
user preferences element of MPEG-21 usage
environment. The client’s metadata rely on user’s
preferences (favorite audio categories and top 10 audio
tracks in each category). Table 2 presents a sample of the
user preferences metadata structure.
<mpeg21:DIDL xmlns:mpeg21="urn:mpeg:mpeg21:2002:02-mpeg21-NS">
<mpeg21:Container>
<mpeg21:Item>
<mpeg21:Descriptor>
<mpeg21:Statement mimeType="text/plain">This item is a metadata block
about John’s preferences.</mpeg21:Statement>
</mpeg21:Descriptor>
<mpeg21:Component>
<mpeg21:Resource mimeType="application/xml">
<Mpeg7 xmlns= “http://www.w3.org/2000/XMLSchema-instance”
type=“complete”>
<UserPreferences>
<UserIdentifier protected=“true”>
<UserName>John</UserName>
</UserIdentifier>
<UsagePreferences allowAutomaticUpdate=“true”>
<FilteringAndSearchPreferences protected=“true”>
<ClassificationPreference>
<Genre href=“urn:mpeg:GenreCS” preferenceValue=“32”>
<Name> Acappella </Name>
</Genre>
<Name> Classical </Name>
</Genre>
<Name> HipHop </Name>
</Genre>
<Name> Jazz </Name>
</Genre>
...
<Name> Rock </Name>
</Genre>
</ClassificationPreference>
</FilteringAndSearchPreferences>
</UsagePreferences>
</UserPreferences>
</Mpeg7>
</mpeg21:Resource>
</mpeg21:Component>
</mpeg21:Item>
</mpeg21:Container>
</mpeg21:DIDL>
Table 2. Sample of the user preferences metadata structure
Suitable OWL ontologies for metadata manipulation
have been created. The main-web-service extends the
OWL ontology presented in [16] for managing the audio
metadata. The client uses its personal metadata based on
the OWL ontology presented in Figure 2.
A client requests to listen to an audio track, upload a
new audio track or retrieve a catalog of audio tracks that
match specific criteria (e.g. belong in a specific audio
category, comply with user preferences etc) using
SPARQL queries.
Furthermore the main-web-service can propose audio
tracks to the clients, based on their choices and
preferences. The list of audio tracks promoted to the user
is formed according to an adaptive weighting method of
the user preferences metadata stored at each client and
the usage history metadata stored at the server.
Figure 2. The OWL ontology about user preferences
At each client the weights of the user preferences
metadata pw and the usage history metadata hw are
updated according to the user actions. When the user
requests to listen to an audio file that has been promoted
due to the user preferences values, pw increases while
hw decreases. Adversely, the opposite operation is
performed when the audio file has been promoted due to
the usage history values. Weight values are updated
according to the formula:
¦=
±= N
j
j
i
hphp
valuepref
valuepref
ww
1
//
_
_
where ivaluepref _ stands for the preference value of
the requested audio file, while N represents the number
of all audio files and 1=+ hp ww .
Initially, the client interacts with the main-web-service
and sends the user’s preferences along with the
respective credentials. Next the service checks user
credentials, establishes a session with the client and
promotes audio tracks to the client according to its
preferences.
The main-web-service interacts with the SPARQL
parser to obtain the metadata structure expressed in
OWL in order to satisfy a client request. Subsequently,
the MPQF parser receives the query together with the
metadata structure and returns the requested multimedia
info. The client retrieves the audio information and
updates its preferences.
202

Figure 3. Web service proposes audio track
Figure 4. Updating the audio metadata
Thereafter, it sends its updated preferences to the web
service as feedback information, to enhance future
retrievals. The system operation is graphically
illustrated in the sequence diagram of Figure 3.
User defined metadata of a specific resource are
created from the client when a new audio track is
uploaded to the web service’s host. The main-web-
service uses the Java Media Framework to analyze the
uploaded audio track and extracts technical oriented
metadata. Then, the service formats and inserts all the
audio metadata into the metadata file according to the
relative standards and to the OWL ontology. The file
upload operation is presented in Figure 4. MySQL is
used for handling the user’s credentials at the main-
web-service. The web services and client modules are
developed using Java and Java Media Framework. The
MPEG-21/7, SPARQL and MPQF parsers are mapped
to Java classes.
V. CASE STUDY
This section presents an example of our framework’s
functionality. The client contacts the main-web-service
and sends its preferences through the relative OWL
ontology. As a next step, the client may retrieve an
audio catalog using the SPARQL query presented in
Table 3. The query retrieves a catalog consisted of the
audio files contained to the main-web-service according
to the arguments of the “FILTER” statement. The
results are ordered in descending sequence according to
their popularity. When the catalog is received, the client
requests a specific audio track. The web service uses
the relative OWL ontology to manipulate the audio
metadata and sends the requested track to the client.
PREFIX mpeg7: < http://www.mpeg.org/MPEG7/2000>
SELECT ?Title
WHERE { ?x mpeg7:title ?title .
FILTER (?Genre=Classical || ?Genre=Jazz
&& ?Publisher=Sony
&& ?CreationDate>=2005-01-01
&& ?MediaDuration>60
&& ?Format=MP3
&& ?FileSize>10000
&& ?BitRate>=42000)
}ORDER BY DESC(?preferenceValue)
Table 3. The client retrieves an audio catalog using SPARQL
The client receives a form which plays the requested
audio track and presents a list of similar tracks. This list
contains promoted audio tracks according to user’s
preferences as well as to the usage history stored at the
web service side. The user can request any track from
the list. The selection of an audio track results to an
203

update of user preferences metadata at the client and the
usage history resource adaptation metadata at the web
service. Figure 5 presents the relative user preference
metadata block before and after the client’s request.
Accordingly, the ‘preferenceValue’ concerning audio
track’s genre has been increased. Similarly the
CreationPreferences and the ClassificationPreferences
metadata stored at the web service are increased.
Figure 5. The relative user preference block before and after the
client’s request
Consequently, Figure 6 presents the response times
for audio proposals in respect to a SPARQL request or
an audio track request. The SPARQL response times
are marginally greater than the relative response times
from audio track requests. This is an effect of the higher
computational complexity of SPARQL requests.
Additionally, as the tracks number increases the
response time increases as well due to the information
load processed by the main-web-service.
Figure 6. Response times for audio track and SPARQL request in
respect of tracks’ number
VI. CONCLUSIONS
Our approach is implemented through web services
and relies on MPEG-21 and MPEG-7 standards to
achieve personalization. MPEG-21 DIDL and DIA are
used handling Digital Items declaration and user
preferences, respectively. Moreover, the appropriate
OWL ontologies are used for managing the metadata.
The framework applies queries to the metadata and to
the ontologies using MPQF and SPARQL models. The
architecture is decentralized, since each client organizes
its own metadata locally. The web service hosts the
resource adaptation metadata along with the resources,
proposing audio tracks to the clients based on their
choices and preferences.
Applications conforming to MPEG-21 and MPEG-7
may use the metadata produced by our framework.
Additionally the model presented in this paper can be
applied to any type of multimedia resources.
Future work includes the extension of the MPQF
parser functionalities to support the QueryByMedia
query type. Thus, it will give the capability to the web
service to propose audio tracks according to other
sample audio tracks. For instance, the client will send
along with its request an audio track that contains violin
and the web service will promote audio tracks that also
contain this musical instrument.
REFERENCES
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sparql-query/
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[14] Resource Description Framework – RDF,
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