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Color-based Recognition Techniques for Manipulation Detection in Advertisement Videos

Schaik, E.J.G. van (2019) Color-based Recognition Techniques for Manipulation Detection in Advertisement Videos.

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Abstract:As marketing has become an increasingly advanced field of study, consumers are more successfully manipulated by advertisers, which robs them of part of their autonomy. This paper proposes techniques to automatically detect how manipulative an advertisement videos can be. Manipulation in advertisement videos can come in many different forms, and this paper focuses on the use of color. It combines insights drawn from existing literature into a design for new recognition techniques. This design is evaluated with a survey where the success of manipulation of advertisement videos is tested. This all results in a proof of concept for the automation of manipulation detection in advertisement videos.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:https://purl.utwente.nl/essays/77860
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