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MULTIMEDIA DATABASES
AND MPEG7
Rahmi Volkan Başar
Department of Computer Engineering
METU
May, 2013
Multimedia Databases
• Introduction
• Capabilities of DB Types
• Search on MMDB
• Multimedia Content Description
• Research Fields
Multimedia Data
• Text: using a standard language (SGML, HTML)
• Graphics: encoded in CGM, postscript
• Images: bitmap, JPEG, MPEG
• Video: sequenced image data at specified
rates
• Audio: recordings in a string of bits in digitized
form
Database vs Multimedia Database
• Databases
– well structured data organization
– efficient storage of large amounts of data
– querying
– transactional support for concurrent users
– numbers, strings
• Multimedia Databases
– large content
– different structures
– not easily searched/queried
Use Cases
• Repositories: central location for data
maintained by DBMS, organized in storage
levels
• Presentations: delivery of audio and video
data, temporarily stored, ‘VCR-like
functionality’
• Collaborative: complex design, analyzing data
Capabilities
• Relational Databases
– Atomic / Tables
– Data relation – Common Foreign Keys
– Record: Content – No meta information
– A predefined set of domains for columns
• Hard to extend
• BLOB data type exist
Capabilities
• Object Oriented Databases
– Schema is “Class”
– All data is “Object”
– References
– New data types
• Easy. New class is a new data type.
– Appropriate for multimedia data
Capabilities
• Object Relational Databases
– In addition to RDBMS
• Object references
• New types
– Multimedia
– MMDBMS
• Extensible ORDBMSs
Search
• Collection of data. How to search?
– Any standards?
– Workarounds?
• Search: Retrieve similar images…
– Fast, Correct
• Content-based
– New techniques?
Search
• Content Based Retrieval Facilities
– Supported by MMDBMS
• Organize and Manage accordingly
– Compare based on a number of features
• Shape/Color/Texture
• Meta-Data?
– Always.
Content Based Retrieval
• Accurate representation of the multimedia
objects in the database
– For accuracy and efficiency
– Combination: Different features
• Similarity Search
– High-dimensional feature vectors
• Special multi-dimensional indexing structures
• Dimension reduction methods.
Multimedia Content Description
Standard: MPEG-7
• Influential XML based multimedia meta-data standard
• Description of the storage media:
– Format, Image Size, Audio Quality, Video Frames etc.
• Creation and production information:
– Creation date and location, title, genre, etc.
• Content semantic description:
– Events, concepts, objects, etc.
• Content structural description:
– Shot and key frames with color, texture and motion
features, etc.
• Metadata about the description:
– Author, version, creation date, etc.
MPEG-7
• Expression of multimedia data
• Missing: Search for Implicit Data
– The meaning of the structure: Not expressed
– Ex. A video: length, format, name, dates etc.
• Gender: Documentary, Interview, Movie
• Theme: Science, Sports, Horror
• No consideration on search engines
MPEG-7
• Search:
– XPath, XQuery
– Semantic Views Query Language
Simple MPEG7 Example
<Mpeg7>
<Description xsi:type="SemanticDescriptionType">
<Semantics>
<Label>
<Name> Car </Name>
</Label>
<Definition>
<FreeTextAnnotation>
Four wheel motorized vehicle
</FreeTextAnnotation>
</Definition>
<MediaOccurrence>
<MediaLocator>
<MediaUri> image.jpg </MediaUri>
</MediaLocator>
</MediaOccurrence>
</Semantics>
</Description>
</Mpeg7>
MPEG7 Details
• Standardizes 3 parts:
– Description tools
• Descriptors (D)
• Description Schemes (DS).
– Description Definition Language (DDL)
• To specify these schemes
– System tools
MPEG7 Details
• Descriptors (D)
– Representation of a feature
• Syntactic and Semantic
– Low-level audio or visual features
• Color, motion, texture etc
– Audiovisual content
• Location, time etc
• Objects can be described
– Several descriptors.
MPEG7 Details
• Description Schemes (DS) describe
– Specification of the relations
• Between Descriptors
• Between Description Schemes
– Relations can be structural and semantics
– High-level audiovisual (AV) features
• Regions, segments, events etc
MPEG7 Details
• Description Definition Language
– Based on XML
• Defines the structural relations between descriptors
– Creation and modification of description schemes
– Creation of new descriptors.
MPEG7 Details
• System Tools
– Deal with Descriptor management
• Binarization
• Synchronization
• Transport
• Storage
MPEG7 Details - Overview
MPEG7 Details
• Next Slide
– Description of a Video Segment
MPEG7 Details
• How to extract semantics?
– i.e. Intelligent Information Retrieval
– Drawback of the standard
– Ontology help required:
• Domain Specific Ontology (Football, Location)
• Automatically extract information
• Use for a better search result
Research Fields
• Design: still in research
• Queries: techniques need to be modified
• Rest:
– Modeling: complex objects, wide range of types
– Storage: representation, compression, buffering
during I/O, mapping
– Performance: physical limitations, parallel
processing
• Thank you!
• Questions?
References
• Wikipedia: Various Pages
• Computer Science and Engineering Department
Resources:
– University of Notre Dame
– Northumbria University
– Carnegie Mellon University
– Boston College
– Simon Fraser University
– Georgia Institute of Technology
• Interview with A. Anil Sinaci

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MMBD - Multimedia Databases

  • 1. MULTIMEDIA DATABASES AND MPEG7 Rahmi Volkan Başar Department of Computer Engineering METU May, 2013
  • 2. Multimedia Databases • Introduction • Capabilities of DB Types • Search on MMDB • Multimedia Content Description • Research Fields
  • 3. Multimedia Data • Text: using a standard language (SGML, HTML) • Graphics: encoded in CGM, postscript • Images: bitmap, JPEG, MPEG • Video: sequenced image data at specified rates • Audio: recordings in a string of bits in digitized form
  • 4. Database vs Multimedia Database • Databases – well structured data organization – efficient storage of large amounts of data – querying – transactional support for concurrent users – numbers, strings • Multimedia Databases – large content – different structures – not easily searched/queried
  • 5. Use Cases • Repositories: central location for data maintained by DBMS, organized in storage levels • Presentations: delivery of audio and video data, temporarily stored, ‘VCR-like functionality’ • Collaborative: complex design, analyzing data
  • 6. Capabilities • Relational Databases – Atomic / Tables – Data relation – Common Foreign Keys – Record: Content – No meta information – A predefined set of domains for columns • Hard to extend • BLOB data type exist
  • 7. Capabilities • Object Oriented Databases – Schema is “Class” – All data is “Object” – References – New data types • Easy. New class is a new data type. – Appropriate for multimedia data
  • 8. Capabilities • Object Relational Databases – In addition to RDBMS • Object references • New types – Multimedia – MMDBMS • Extensible ORDBMSs
  • 9. Search • Collection of data. How to search? – Any standards? – Workarounds? • Search: Retrieve similar images… – Fast, Correct • Content-based – New techniques?
  • 10. Search • Content Based Retrieval Facilities – Supported by MMDBMS • Organize and Manage accordingly – Compare based on a number of features • Shape/Color/Texture • Meta-Data? – Always.
  • 11. Content Based Retrieval • Accurate representation of the multimedia objects in the database – For accuracy and efficiency – Combination: Different features • Similarity Search – High-dimensional feature vectors • Special multi-dimensional indexing structures • Dimension reduction methods.
  • 12. Multimedia Content Description Standard: MPEG-7 • Influential XML based multimedia meta-data standard • Description of the storage media: – Format, Image Size, Audio Quality, Video Frames etc. • Creation and production information: – Creation date and location, title, genre, etc. • Content semantic description: – Events, concepts, objects, etc. • Content structural description: – Shot and key frames with color, texture and motion features, etc. • Metadata about the description: – Author, version, creation date, etc.
  • 13. MPEG-7 • Expression of multimedia data • Missing: Search for Implicit Data – The meaning of the structure: Not expressed – Ex. A video: length, format, name, dates etc. • Gender: Documentary, Interview, Movie • Theme: Science, Sports, Horror • No consideration on search engines
  • 14. MPEG-7 • Search: – XPath, XQuery – Semantic Views Query Language
  • 15. Simple MPEG7 Example <Mpeg7> <Description xsi:type="SemanticDescriptionType"> <Semantics> <Label> <Name> Car </Name> </Label> <Definition> <FreeTextAnnotation> Four wheel motorized vehicle </FreeTextAnnotation> </Definition> <MediaOccurrence> <MediaLocator> <MediaUri> image.jpg </MediaUri> </MediaLocator> </MediaOccurrence> </Semantics> </Description> </Mpeg7>
  • 16. MPEG7 Details • Standardizes 3 parts: – Description tools • Descriptors (D) • Description Schemes (DS). – Description Definition Language (DDL) • To specify these schemes – System tools
  • 17. MPEG7 Details • Descriptors (D) – Representation of a feature • Syntactic and Semantic – Low-level audio or visual features • Color, motion, texture etc – Audiovisual content • Location, time etc • Objects can be described – Several descriptors.
  • 18. MPEG7 Details • Description Schemes (DS) describe – Specification of the relations • Between Descriptors • Between Description Schemes – Relations can be structural and semantics – High-level audiovisual (AV) features • Regions, segments, events etc
  • 19. MPEG7 Details • Description Definition Language – Based on XML • Defines the structural relations between descriptors – Creation and modification of description schemes – Creation of new descriptors.
  • 20. MPEG7 Details • System Tools – Deal with Descriptor management • Binarization • Synchronization • Transport • Storage
  • 21. MPEG7 Details - Overview
  • 22. MPEG7 Details • Next Slide – Description of a Video Segment
  • 23.
  • 24. MPEG7 Details • How to extract semantics? – i.e. Intelligent Information Retrieval – Drawback of the standard – Ontology help required: • Domain Specific Ontology (Football, Location) • Automatically extract information • Use for a better search result
  • 25. Research Fields • Design: still in research • Queries: techniques need to be modified • Rest: – Modeling: complex objects, wide range of types – Storage: representation, compression, buffering during I/O, mapping – Performance: physical limitations, parallel processing
  • 26. • Thank you! • Questions?
  • 27. References • Wikipedia: Various Pages • Computer Science and Engineering Department Resources: – University of Notre Dame – Northumbria University – Carnegie Mellon University – Boston College – Simon Fraser University – Georgia Institute of Technology • Interview with A. Anil Sinaci