| Author: | Yang, Jing |
| Title: | Application of automatic facial expression recognition systems in advertising |
| Advisors: | Chan, Stephen (COMP) |
| Degree: | M.Sc. |
| Year: | 2016 |
| Subject: | Pattern recognition systems Human face recognition (Computer science) Advertising -- Research. Hong Kong Polytechnic University -- Dissertations |
| Department: | Department of Computing |
| Pages: | viii, 60 pages : color illustrations |
| Language: | English |
| Abstract: | Emotions, crucial activities of the human minds, do not only affect people's attention, memory and likability, but also are significate indexes to pre estimate human decision making. The facial expression as a dominating expression channel of the emotion, are more truthful and accurate than the traditional way. Advertising which plays an important role in people's daily life is an effective approach of publicity and promotion. However, the advertising is mainly propagated by one-way output without the reaction of the audience and consumer, and now with the development of the advertising industry, there are more and more studies based on how to better evaluate the advertising effect. This research makes use of the facial expression recognition system to analyze the interaction process of the emotion and advertising and evaluate the advertising effects via the three aspects: attention, memory and likability, based on the theory of psychology and advertising. The first chapter of this dissertation is about the introduction. The second chapter of this dissertation is about the background of the facial expression recognition and advertising evaluation. The third chapter is about the proposal method of the facial expression recognition and related concept about the facial expression, psychology which includes the algorithms of the attention, memory and likability and the system of advertising effectiveness evaluation. The fourth chapter is concerning the experiment research. The following reference the summary and the future work. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b28564194.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 4.01 MB | Adobe PDF | View/Open |
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