Semantic Understanding for Contextual In-Video Advertising

Authors

  • Rishi Madhok Delhi Technological University
  • Shashank Mujumdar IBM Research, India
  • Nitin Gupta IBM Research, India
  • Sameep Mehta IBM Research, India

Keywords:

contextual advertising, video semantic understanding, multimedia video advertising, computer vision, deep learning, machine learning

Abstract

With the increasing consumer base of online video content, it is important for advertisers to understand the video context when targeting video ads to consumers. To improve the consumer experience and quality of ads, key factors need to be considered such as (i) ad relevance to video content (ii) where and how video ads are placed, and (iii) non-intrusive user experience. We propose a framework to semantically understand the video content for better ad recommendation that ensure these criteria.

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Published

2018-04-29

How to Cite

Madhok, R., Mujumdar, S., Gupta, N., & Mehta, S. (2018). Semantic Understanding for Contextual In-Video Advertising. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/12133