Investigation of How Image Display Size Affects Image Aesthetic Perception
碩士 === 國立中正大學 === 資訊工程研究所 === 101 === Image quality assessment has become a popular topic. Previous related works have shown that image contrast, saliency features, and composition of objects may jointly decide whether an image looks good or not. However, how image display size affects image aesthet...
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| Format: | Others |
| Language: | en_US |
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2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/yb37wx |
| Summary: | 碩士 === 國立中正大學 === 資訊工程研究所 === 101 === Image quality assessment has become a popular topic. Previous related works have shown that image contrast, saliency features, and composition of objects may jointly decide whether an image looks good or not. However, how image display size affects image aesthetic perception has not been investigated in previous works. We conduct a pilot study to verify the effect of display size on image aesthetic perception.
In this thesis, we devote to investigate how an image’s resolution (pixels) and physical dimension (inches) affect how much viewers appreciate an image. We use crowdsourcing technology to collect a large-scale aesthetic assessments of 100 images displayed in a variety of physical dimensions, and show that an image’s display size significantly affects its aesthetic rating in a complicated way; normally an image looks better with a bigger display size, but it may look relatively worse depending on its content. We use partial least square regression (PLSR) to develop the scoring model and the ranking model to predict an image’s aesthetic rating and relative aesthetic ranking based on its content and compositional features. We discover effective features in aesthetic prediction by analyzing the relationship between performance and learnt weights. We discuss performance for different categories and how amounts of training data affect prediction performance. We further discuss an interesting issue about the best display size of each image to inspire future research. We hope that this work will shed some light on future research by revealing that both content and presentation should be considered in image aesthetic evaluation.
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