Visual attention : a study on image sentiment and emotional priority
Emotions on the image influences visual perception of the viewers. Stimuli such as laughing faces and crying child attracts human attention than neutral images with no emotional stimuli. This research is to evaluate the relationship between the sentiment of the image and visual attention of the user...
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
2019
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| Online Access: | http://hdl.handle.net/10356/78921 |
| _version_ | 1826111721219031040 |
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| author | Janani, Govindarajulu Venkatasamy |
| author2 | Ponnuthurai N. Suganthan |
| author_facet | Ponnuthurai N. Suganthan Janani, Govindarajulu Venkatasamy |
| author_sort | Janani, Govindarajulu Venkatasamy |
| collection | NTU |
| description | Emotions on the image influences visual perception of the viewers. Stimuli such as laughing faces and crying child attracts human attention than neutral images with no emotional stimuli. This research is to evaluate the relationship between the sentiment of the image and visual attention of the user based on the emotional properties of the image.
In an attempt to understand the effects of image attributes on predict, three different convolutional neural network models were designed was implemented in Python with Keras and Tensorflow. This, together with implementations of the saliency map to identify the emotional prioritization on the images.
As the results of using different networks was compared and predicted that image set with positive emotions has more attention than images with negative and neutral emotions. The results were also compared to previous attempts to classify the same data to evaluate the method as a whole. |
| first_indexed | 2024-10-01T02:55:27Z |
| format | Thesis |
| id | ntu-10356/78921 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:55:27Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/789212023-07-04T16:06:09Z Visual attention : a study on image sentiment and emotional priority Janani, Govindarajulu Venkatasamy Ponnuthurai N. Suganthan School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Emotions on the image influences visual perception of the viewers. Stimuli such as laughing faces and crying child attracts human attention than neutral images with no emotional stimuli. This research is to evaluate the relationship between the sentiment of the image and visual attention of the user based on the emotional properties of the image. In an attempt to understand the effects of image attributes on predict, three different convolutional neural network models were designed was implemented in Python with Keras and Tensorflow. This, together with implementations of the saliency map to identify the emotional prioritization on the images. As the results of using different networks was compared and predicted that image set with positive emotions has more attention than images with negative and neutral emotions. The results were also compared to previous attempts to classify the same data to evaluate the method as a whole. Master of Science (Computer Control and Automation) 2019-10-30T01:05:16Z 2019-10-30T01:05:16Z 2019 Thesis http://hdl.handle.net/10356/78921 en 54 p. application/pdf |
| spellingShingle | Engineering::Electrical and electronic engineering Janani, Govindarajulu Venkatasamy Visual attention : a study on image sentiment and emotional priority |
| title | Visual attention : a study on image sentiment and emotional priority |
| title_full | Visual attention : a study on image sentiment and emotional priority |
| title_fullStr | Visual attention : a study on image sentiment and emotional priority |
| title_full_unstemmed | Visual attention : a study on image sentiment and emotional priority |
| title_short | Visual attention : a study on image sentiment and emotional priority |
| title_sort | visual attention a study on image sentiment and emotional priority |
| topic | Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/78921 |
| work_keys_str_mv | AT jananigovindarajuluvenkatasamy visualattentionastudyonimagesentimentandemotionalpriority |