Multimedia content analysis: model-based approaches vs. data-driven approaches

ABSTRACT

The explosive growth of multimedia data on the Web has had a great impact on research, and opened a potentially controversial topic in the multimedia community about model-based approaches and data-driven approaches. In this panel, we expect intelligent discussions between the panelists and the audience on this topic. For example, which approach is more advantageous: model-based or data-driven? How can these two approaches learn from the latest developments of the other to further improve existing limitations? The debate in this panel and the insight shared by the panelists are highly anticipated and expected to inspire and drive researchers to answer these questions and push them into working on other, related problems.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
          Subjects: Abstracting methods

Additional Classification:
  I. Computing Methodologies
  I.5 PATTERN RECOGNITION
      I.5.4 Applications
          Subjects: Computer vision

General Terms:
Algorithms, Performance

Keywords:
data-driven approaches, image annotation, multimedia content analysis, object recognition