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SENSORY EFFECT DATASET
        AND TEST SETUPS

Markus Waltl, Christian Timmerer, Benjamin Rainer, Hermann Hellwagner


Multimedia Communication (MMC) Research Group, Institute of Information Technology (ITEC)
                Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria
                     E-mail: firstname.lastname@itec.uni-klu.ac.at




      Acknowledgments. This work was supported in part by the EC in the context of the
      ALICANTE (FP7-ICT-248652), SocialSensor (FP7-ICT-287975), and QUALINET
      (COST IC 1003) projects and partly performed in the Lakeside Labs research cluster
      at AAU.
OUTLINE
 Motivation and Context
 Sensory Effect Dataset
    Sensory Effect Metadata Generation
    Dataset Review Process
 Test Setups
 [Evaluations      see prev. QoMEX papers]
 Conclusion




  15 July 2012         Sensory Effect Dataset   2
MOTIVATION
 From traditional multimedia to sensory-enriched
  multimedia
   E.g., wind, vibration, and light effects




   Goal: increasing the Quality of Experience
 Lack of common test content for performing
  subjective quality assessments

   15 July 2012            Sensory Effect Dataset   3
CONTEXT
     MPEG-V (ISO/IEC 23005): interoperability between
      virtual worlds and the real world
     Seven parts: (1) architecture, (2) control information, (3)
      sensory information, (4) virtual world object char., (5)
      data formats for interaction dev., (6) common types and
      tools, (7) conformance + ref. software
     Part 3 Sensory Information
      Sensory Effect Description Language (SEDL)
      Sensory Effect Vocabulary (SEV)
       Sensory Effect Metadata (SEM)
             May be associated to any kind of multimedia content (e.g.,
              movies, music, Web sites, games)
             Steer sensory devices like fans, vibration chairs, lamps, etc. via
              an appropriate mediation device

    15 July 2012                    Sensory Effect Dataset               4
MPEG-V: MEDIAEFFECT DATASET
   SENSORY CONTEXT AND CONTROL
     Currently, no common content for evaluations of
      sensory effects available
     76 video sequences from 5 genres
        38 action
        12 documentary
        8 sports
        5 news
        13 commercial
     Enriched with light,
      wind, and vibration
     ~1.6GB, available
      under NDA
    15 July 2012             Sensory Effect Dataset   5
SENSORY EFFECT METADATA GENERATION
 Video sequences enriched with sensory effects
  using the Sensory Effect Video Annotation
  (SEVino) tool
 Advantages
    Easy to use
    Platform independent
    Support all formats
     and codecs (from VLC)
    Create MPEG-V-
     compliant SEM
     descriptions

  15 July 2012        Sensory Effect Dataset   6
DATASET REVIEW PROCESS




15 July 2012   Sensory Effect Dataset   7
TEST SETUPS
 Evaluations with sensory effects need special
  devices, e.g., ambient light, fans, vibration
  chairs
 Three setups using amBX system and Cyborg
  Gaming Lights
 Setups have been used in user studies or
  evaluated internally



  15 July 2012      Sensory Effect Dataset   8
TEST SETUPS




15 July 2012      Sensory Effect Dataset   9
TEST SETUPS




15 July 2012      Sensory Effect Dataset   10
TEST SETUPS




15 July 2012      Sensory Effect Dataset   11
CONCLUSIONS
 Sensory effect dataset can be used to perform
  assessments with enriched multimedia content
 Provides a number of test sequences from
  various genres in different bit-rates and
  resolutions
 Most sequences from the dataset were already
  used in user studies
 Proposed a number of test setups that can be
  used for performing QoE evaluations
  accompanied by sensory effects
  15 July 2012      Sensory Effect Dataset   12
SENSORY EXPERIENCE LAB
                                                http://selab.itec.aau.at/

                                                Software and Services

                                                Standardization

                                                Publications

                                                Media

                                                Funding



15 July 2012           Sensory Effect Dataset                  13
THANK YOU FOR YOUR ATTENTION




 15 July 2012   Sensory Effect Dataset   14

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Sensory Effect Dataset and Test Setups for Multimedia Quality Evaluations

  • 1. SENSORY EFFECT DATASET AND TEST SETUPS Markus Waltl, Christian Timmerer, Benjamin Rainer, Hermann Hellwagner Multimedia Communication (MMC) Research Group, Institute of Information Technology (ITEC) Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria E-mail: firstname.lastname@itec.uni-klu.ac.at Acknowledgments. This work was supported in part by the EC in the context of the ALICANTE (FP7-ICT-248652), SocialSensor (FP7-ICT-287975), and QUALINET (COST IC 1003) projects and partly performed in the Lakeside Labs research cluster at AAU.
  • 2. OUTLINE  Motivation and Context  Sensory Effect Dataset  Sensory Effect Metadata Generation  Dataset Review Process  Test Setups  [Evaluations see prev. QoMEX papers]  Conclusion 15 July 2012 Sensory Effect Dataset 2
  • 3. MOTIVATION  From traditional multimedia to sensory-enriched multimedia  E.g., wind, vibration, and light effects  Goal: increasing the Quality of Experience  Lack of common test content for performing subjective quality assessments 15 July 2012 Sensory Effect Dataset 3
  • 4. CONTEXT  MPEG-V (ISO/IEC 23005): interoperability between virtual worlds and the real world  Seven parts: (1) architecture, (2) control information, (3) sensory information, (4) virtual world object char., (5) data formats for interaction dev., (6) common types and tools, (7) conformance + ref. software  Part 3 Sensory Information  Sensory Effect Description Language (SEDL)  Sensory Effect Vocabulary (SEV) Sensory Effect Metadata (SEM)  May be associated to any kind of multimedia content (e.g., movies, music, Web sites, games)  Steer sensory devices like fans, vibration chairs, lamps, etc. via an appropriate mediation device 15 July 2012 Sensory Effect Dataset 4
  • 5. MPEG-V: MEDIAEFFECT DATASET SENSORY CONTEXT AND CONTROL  Currently, no common content for evaluations of sensory effects available  76 video sequences from 5 genres  38 action  12 documentary  8 sports  5 news  13 commercial  Enriched with light, wind, and vibration  ~1.6GB, available under NDA 15 July 2012 Sensory Effect Dataset 5
  • 6. SENSORY EFFECT METADATA GENERATION  Video sequences enriched with sensory effects using the Sensory Effect Video Annotation (SEVino) tool  Advantages  Easy to use  Platform independent  Support all formats and codecs (from VLC)  Create MPEG-V- compliant SEM descriptions 15 July 2012 Sensory Effect Dataset 6
  • 7. DATASET REVIEW PROCESS 15 July 2012 Sensory Effect Dataset 7
  • 8. TEST SETUPS  Evaluations with sensory effects need special devices, e.g., ambient light, fans, vibration chairs  Three setups using amBX system and Cyborg Gaming Lights  Setups have been used in user studies or evaluated internally 15 July 2012 Sensory Effect Dataset 8
  • 9. TEST SETUPS 15 July 2012 Sensory Effect Dataset 9
  • 10. TEST SETUPS 15 July 2012 Sensory Effect Dataset 10
  • 11. TEST SETUPS 15 July 2012 Sensory Effect Dataset 11
  • 12. CONCLUSIONS  Sensory effect dataset can be used to perform assessments with enriched multimedia content  Provides a number of test sequences from various genres in different bit-rates and resolutions  Most sequences from the dataset were already used in user studies  Proposed a number of test setups that can be used for performing QoE evaluations accompanied by sensory effects 15 July 2012 Sensory Effect Dataset 12
  • 13. SENSORY EXPERIENCE LAB http://selab.itec.aau.at/ Software and Services Standardization Publications Media Funding 15 July 2012 Sensory Effect Dataset 13
  • 14. THANK YOU FOR YOUR ATTENTION 15 July 2012 Sensory Effect Dataset 14