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Extracting Knowledge from Collaboratively Annotated Ad Video Content

  • Manolis Maragoudakis
  • Katia Lida Kermanidis
  • Spyros Vosinakis
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 437)

Abstract

Creative advertising support tools have relied so far on static knowledge represented in creativity templates and decision making systems that indirectly impose restrictions on the brainstorming process. PromONTotion is a system under development that aims at creating a support tool for advertisers for the creative process of designing a novel ad campaign that is based on user-driven, generic, automatically mined and thus dynamic semantic knowledge. Semantic terms and concepts are collaboratively provided via crowdsourcing. The present work describes data mining techniques that are applied to the collected annotations and some interesting initial results regarding ad content, ad genre, ad style and ad impact/popularity information.

Keywords

Bayesian Network Sequential Minimal Optimization Conditional Probability Table Markov Blanket Pessimistic Scenario 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  • Manolis Maragoudakis
    • 1
  • Katia Lida Kermanidis
    • 2
  • Spyros Vosinakis
    • 3
  1. 1.Department of Information and Communication Systems EngineeringUniversity of the AegeanKarlovasiGreece
  2. 2.Department of InformaticsIonian UniversityCorfuGreece
  3. 3.Department of Product and Systems Design EngineeringUniversity of the AegeanErmoupoliGreece

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