The best papers would be published in IEEE Multimedia. Also selected papers will be published in the Journal of Digital Information Management (JDIM) (http://www.dirf.org/jdim)

Description

Information  is  increasingly  becoming  ubiquitous  and  all-pervasive,  with  the  World-Wide  Web  as  its  primary  repository.  The  rapid  growth  of  information  on  the  Web  creates  new  challenges  for  information  retrieval.  Recently,  there  has  been  a  growing  interest  in  the  investigation  and  development  of  the  next  generation  web  –  the  Semantic  Web.  The  Semantic  Web  enables  programs/agents  to  automatically  understand  what  data  is  about,  and  therefore,  bridge  the,  so-called,  semantic  gap  between  the  ways  in  which  users  request  web  resources  and  the  real  needs  of  those  users,  ultimately  improving  the  quality  of  web  information  retrieval.    

Multimedia information has always been part of the Semantic Web paradigm, but requires substantial effort to integrate both domain-dependent and media-dependent knowledge. The W3C incubator group on Multimedia Semantics http://www.w3.org/2005/Incubator/mmsem/ published deliverables on this http://www.w3.org/2005/Incubator/mmsem/#Deliverables , including a number of use cases http://www.w3.org/2005/Incubator/mmsem/XGR-image-annotation/#use_cases/. We believe that, in addition to trying to express a media object’s hidden meaning explicitly, one should formulate ways of managing media objects so as to help people make more intelligent use of them. The relationship between users and media objects should be studied. Media objects should be interpreted relative to the particular goal or point-of-view of a particular user at a particular time.  

Content-based  descriptors  are  necessary  to  this  process.  Major  search  engines  are  in  the  process  of  rolling  out  A/V  search  capabilities.  At  the  same  time,  such  descriptions  are  definitely  not  sufficient.  Context  is  also  important,  and  should  be  managed.  The  area  of  emergent  multimedia  semantics  has  been  initiated  to  study  the  measured  interactions  between  users  and  media  object,  with  the  ultimate  goal  of  trying  to  satisfy  the  user  community  by  providing  them  with  the  media  objects  they  require,  based  on  their  individual  previous  media  interactions.    

The  arrival  of  Web  2.0  has  added  new  paradigms  to  the  media  mix.  Such  concepts  as  a  folksonomy,  a  form  of  emergent  semantics,  introduces  a  collaborative,  dynamic  approach  to  the  generation  of  ontologies  and  media  object  semantics.  That  such  an  approach  results  in  a  stable  semantics,  though  surprising,  has  been  recently  demonstrated.    

We are accepting regular and short papers. For short papers, we encourage advanced Ph.D. students to submit.  

List of Topics

We  welcome  all  papers  relevant  to  topics  in  multimedia  semantics,  including  those  at  the  confluence  of  multimedia  information  management,  the  Semantic  Web,  and  Web  2.0,  such  as,  

• Multimedia ontologies
• Approaches  using  metadata  standards  such  as  MPEG7  
• Computational  semiotics  
• Conceptual  clustering  
• Emergent  semantics  
• Event  representation  and  detection  
• Folksonomies  
• Genre  detection  
• Industrial  use-cases  and  applications  
• Intelligent  browsing  and  visualization   
• Media  ontology  learning  
• Media  web  mining  
• Modeling  and  recognition  of  visual  objects  and  actions  
• Multimedia  extraction  and  annotation  
• Multimedia  ontologies  
• Multisensory  data  integration  and  fusion  for  decision  making  
• Perception  and  cognition  
• Semantic  metadata  for  mobile  applications  
• Semantics  enabled  multimedia  applications  (including  search,  browsing,  retrieval,  visualization)  
• Semantics  enabled  networks  and  middleware  for  multimedia   applications
• Semantics based  search  and  integration  of  multimedia  and  digital   content
• Semi automatic  and  automatic  methods  for  multimedia  annotation
  • Social networking
• Spectral  methods
   • User  interfaces  

Important Dates