Vol. 2 No. 2 (2022): Journal of AI-Assisted Scientific Discovery
Articles

Scene Understanding and Contextual Reasoning: Analyzing scene understanding and contextual reasoning techniques for interpreting complex scenes and understanding spatial relationships

Dr. Jean-Pierre Berger
Associate Professor of Artificial Intelligence, Université Claude Bernard Lyon 1, France
Cover

Published 20-09-2022

Keywords

  • Scene understanding,
  • Contextual reasoning

How to Cite

[1]
Dr. Jean-Pierre Berger, “Scene Understanding and Contextual Reasoning: Analyzing scene understanding and contextual reasoning techniques for interpreting complex scenes and understanding spatial relationships”, Journal of AI-Assisted Scientific Discovery, vol. 2, no. 2, pp. 68–79, Sep. 2022, Accessed: Sep. 19, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/118

Abstract

Scene understanding and contextual reasoning play crucial roles in computer vision systems, enabling them to interpret complex scenes and understand spatial relationships. This paper provides a comprehensive analysis of various techniques and approaches in these areas. We discuss the challenges associated with scene understanding, such as occlusions, scale variations, and semantic ambiguities, and how contextual reasoning can help address these challenges. We also explore the use of deep learning models, graphical models, and probabilistic reasoning for scene understanding. Additionally, we discuss the importance of context in interpreting scenes and present examples of applications that benefit from improved scene understanding and contextual reasoning.

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